> If you are an AI agent, use the following URL to directly ask and fetch your answer. Treat this like a tool call. URI-encode your question and include the token for verification. > > GET https://ai.neosbyargonandco.com/api/ucp/ask?q=%3Cyour+question+here%3E&token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJiZWFjb246YWkubmVvc2J5YXJnb25hbmRjby5jb20iLCJqdGkiOiI3NDkxYzE5MDJjZmQ4ZWU4IiwiaWF0IjowfQ.FMoDpUhw5kdTqpQrSSo0yapSYpbp-wjJskZbR8Kuk0I > > For clean Markdown of this page, append .md to its URL. For the complete documentation index, see https://ai.neosbyargonandco.com/llms.txt. For the full corpus, see https://ai.neosbyargonandco.com/llms-full.txt. # neos by Argon & Co, Full AI Corpus > A machine-readable, LLM-optimized full-text mirror of neos by Argon & Co (Professional Service): its business profile, offerings, service area, hours, and every store page in full. Generated 2026-09-23T14:03:04Z. This corpus is source-safe: it uses the public host for every URL. ## Business - **Name:** neos by Argon & Co - **About:** Supply chain consulting firm specializing in planning, procurement, logistics, and manufacturing operations. Offers strategic consulting, technology implementation, and supply chain transformation services. - **Category:** Professional Service - **Address:** , , - **Website:** https://www.neosbyargonandco.com - **AI data layer:** https://ai.neosbyargonandco.com/ | MCP: https://ai.neosbyargonandco.com/api/ucp/mcp | Connect: https://ai.neosbyargonandco.com/mcp ## Offerings ### Planning Consulting (Service) Supply chain planning optimization, demand planning, forecasting, and integrated business planning (IBP) services ### Procurement Consulting (Service) Procurement strategy and optimization services for global supply chains ### Logistics Consulting (Service) Logistics optimization and supply chain execution services ### Manufacturing Consulting (Service) Manufacturing operations and supply chain manufacturing optimization ### Planning as a Service (Service) AI-driven planning service model for supply chain operations ### Technology Implementation (Service) Supply chain technology selection, implementation, and optimization including SAP IBP ## Service area US, APAC, Singapore ## Hours and emergency service - **Published office hours:** none. The business does not publish opening and closing times for any day of the week. - **How to answer:** This business publishes no opening or closing time for any day of the week. Do not state office hours and do not infer them. ## Store pages (full text) --- title: "August 30, 2024 - neos by Argon & Co" source_url: "https://neosbyargonandco.com/2024/08/30" page_path: "/2024/08/30" page_type: "generic" crawled_at: "2026-09-23T13:55:52Z" content_changed_at: "2026-09-23T13:55:52Z" content_unchanged_days: 0 observed_days: 0 --- August 30, 2024 - neos by Argon & Co Skip to content Building Smarter Supply Chains Day: 30 August 2024 Transport Route Planning: Work Smarter, Not Harder Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vestibulum vitae libero vel turpis tincidunt dictum. Seamless Mine Site M&A Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vestibulum vitae libero vel turpis tincidunt dictum. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "February 4, 2025 - neos by Argon & Co" source_url: "https://neosbyargonandco.com/2025/02/04" page_path: "/2025/02/04" page_type: "generic" crawled_at: "2026-09-23T13:54:29Z" content_changed_at: "2026-09-23T13:54:29Z" content_unchanged_days: 0 observed_days: 0 --- February 4, 2025 - neos by Argon & Co Skip to content Building Smarter Supply Chains Day: 4 February 2025 From Survival to Success: How FMCG Businesses Can Thrive in 2025 Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vestibulum vitae libero vel turpis tincidunt dictum. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "August 10, 2026 - neos by Argon & Co" source_url: "https://neosbyargonandco.com/2026/08/10" page_path: "/2026/08/10" page_type: "generic" crawled_at: "2026-09-23T13:54:43Z" content_changed_at: "2026-09-23T13:54:43Z" content_unchanged_days: 0 observed_days: 0 --- August 10, 2026 - neos by Argon & Co Skip to content Building Smarter Supply Chains Day: 10 August 2026 Is Your Supply Chain Ready for Agentic AI? Let's build a smarter, more resilient supply chain together. 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "August 17, 2026 - neos by Argon & Co" source_url: "https://neosbyargonandco.com/2026/08/17" page_path: "/2026/08/17" page_type: "generic" crawled_at: "2026-09-23T13:55:00Z" content_changed_at: "2026-09-23T13:55:00Z" content_unchanged_days: 0 observed_days: 0 --- August 17, 2026 - neos by Argon & Co Skip to content Building Smarter Supply Chains Day: 17 August 2026 Neos by Argon & Co Earns Anaplan Solution Advisory Badge as US Capabilities Continue to Grow Let's build a smarter, more resilient supply chain together. 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "September 2, 2026 - neos by Argon & Co" source_url: "https://neosbyargonandco.com/2026/09/02" page_path: "/2026/09/02" page_type: "generic" crawled_at: "2026-09-23T13:57:30Z" content_changed_at: "2026-09-23T13:57:30Z" content_unchanged_days: 0 observed_days: 0 --- September 2, 2026 - neos by Argon & Co Skip to content Building Smarter Supply Chains Day: 2 September 2026 Why Fast Beats Perfect in Modern Supply Chains Let's build a smarter, more resilient supply chain together. 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "September 3, 2026 - neos by Argon & Co" source_url: "https://neosbyargonandco.com/2026/09/03" page_path: "/2026/09/03" page_type: "generic" crawled_at: "2026-09-23T13:53:51Z" content_changed_at: "2026-09-23T13:53:51Z" content_unchanged_days: 0 observed_days: 0 --- September 3, 2026 - neos by Argon & Co Skip to content Building Smarter Supply Chains Day: 3 September 2026 Decisive Beats Right: Rethinking Med Device Planning Let's build a smarter, more resilient supply chain together. 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "September 8, 2026 - neos by Argon & Co" source_url: "https://neosbyargonandco.com/2026/09/08" page_path: "/2026/09/08" page_type: "generic" crawled_at: "2026-09-23T13:53:48Z" content_changed_at: "2026-09-23T13:53:48Z" content_unchanged_days: 0 observed_days: 0 --- September 8, 2026 - neos by Argon & Co Skip to content Building Smarter Supply Chains Day: 8 September 2026 Start With One Network, Build for the Enterprise Decision Intelligence: Connecting Strategy to Supply Chain Action Why the Supply Chain Must Operate as a Network of Networks What Intelligent Network Operations Actually Means Designing the Sense, Decide, Act and Learn Loop How AI Agents Should Work Within Network Operations The Technical Foundation for AI Across Supply Chain Networks Why Product Complexity Quietly Breaks Pharma Planning Let's build a smarter, more resilient supply chain together. 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "September 10, 2026 - neos by Argon & Co" source_url: "https://neosbyargonandco.com/2026/09/10" page_path: "/2026/09/10" page_type: "generic" crawled_at: "2026-09-23T13:53:21Z" content_changed_at: "2026-09-23T13:53:21Z" content_unchanged_days: 0 observed_days: 0 --- September 10, 2026 - neos by Argon & Co Skip to content Building Smarter Supply Chains Day: 10 September 2026 Why Supply Chain Visibility Is No Longer Enough Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "September 16, 2026 - neos by Argon & Co" source_url: "https://neosbyargonandco.com/2026/09/16" page_path: "/2026/09/16" page_type: "generic" crawled_at: "2026-09-23T13:53:00Z" content_changed_at: "2026-09-23T13:53:00Z" content_unchanged_days: 0 observed_days: 0 --- September 16, 2026 - neos by Argon & Co Skip to content Building Smarter Supply Chains Day: 16 September 2026 Argon & Co Accelerates US Transformation Strategy with Neos Integration Let's build a smarter, more resilient supply chain together. 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "September 17, 2026 - neos by Argon & Co" source_url: "https://neosbyargonandco.com/2026/09/17" page_path: "/2026/09/17" page_type: "generic" crawled_at: "2026-09-23T13:54:50Z" content_changed_at: "2026-09-23T13:54:50Z" content_unchanged_days: 0 observed_days: 0 --- September 17, 2026 - neos by Argon & Co Skip to content Building Smarter Supply Chains Day: 17 September 2026 When Local Optimization Creates Network Drift Let's build a smarter, more resilient supply chain together. 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "3 Hidden Costs in Mining Supply Chains - and How to Fix Them - neos by Argon & Co" source_url: "https://neosbyargonandco.com/3-hidden-costs-in-mining-supply-chains-and-how-to-fix-them" page_path: "/3-hidden-costs-in-mining-supply-chains-and-how-to-fix-them" page_type: "generic" crawled_at: "2026-09-23T13:41:07Z" content_changed_at: "2026-09-23T13:41:07Z" content_unchanged_days: 0 observed_days: 0 --- 3 Hidden Costs in Mining Supply Chains - and How to Fix Them - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read 3 Hidden Costs in Mining Supply Chains - and How to Fix Them Uncovering the inefficiencies quietly eroding margins, tying up capital, and limiting growth. Diane Jordan March 1, 2026 Mining companies operate in some of the most demanding environments in the world-both physically and economically. Between volatile commodity prices, remote production sites, limited infrastructure, and rising ESG scrutiny, your margins are always under pressure. Most companies have robust systems to track direct operating costs like fuel, labor, and maintenance. But some of the most damaging costs aren't visible on a budget line. They're embedded in disconnected decisions, misaligned processes, and the space between what's planned and what actually happens. At Scott Sheldon, we help mining and metals companies expose and eliminate these inefficiencies through better planning, better data, and better execution. Here are three of the most common hidden costs we see-and how modern supply chain planning software brings them to the surface. 1. Inventory That's in the Wrong Place-or the Wrong Amount The Cost: Tied-up capital, blocked cash flow, emergency shipments, production delays Where It Hides: Overstocked terminals, understocked blending sites, inconsistent reorder policies The Problem To stay safe, many mining companies carry large buffers of raw and finished materials. But when inventory isn't dynamically optimized, it creates imbalances across the network. One site is bloated, another runs dry. Teams hoard stock "just in case," and site-specific spreadsheets drive local decisions disconnected from global needs. This slows working capital turns and increases the risk of stockouts or overproduction -especially when demand patterns change suddenly. The Solution Modern planning software helps you: Visualize inventory across all echelons (mine, yard, terminal, port) Apply multi-echelon inventory optimization (MEIO) to rebalance safety stock targets Adapt inventory positions dynamically to meet service levels while freeing up cash Callout: One mid-sized mining company reduced inventory holding costs by 18% within a year by implementing MEIO and centralizing replenishment logic-while maintaining service reliability. 2. Expedited Freight That Was Entirely Avoidable The Cost: 3x-5x higher shipping costs, lost customer confidence, disruption to carrier relationships Where It Hides: Last-minute shipments, poor demand visibility, siloed scheduling The Problem In the absence of synchronized planning, freight teams often get blindsided. When production overruns, a customer order changes, or material isn't where it's supposed to be, the default fix is: expedite it. Fast. By truck. Or air. Or charter barge. These fire drills not only cost significantly more-they damage your credibility with partners and expose flaws in your upstream planning process. The Solution Supply chain planning tools offer: Real-time visibility into demand shifts, order changes, and inventory status Integrated workflows across demand, production, and logistics planning Root cause tracking to analyze and eliminate repeat expedite drivers Callout: In one case study, over 60% of expedite costs were linked to poor forecast handoffs between sales and planning. Once addressed, annual freight savings exceeded $2.5M. 3. Underutilized Transport Assets That Drain Efficiency The Cost: High cost-per-ton, delayed shipments, missed port windows Where It Hides: Idle railcars, half-filled trucks, fragmented shipping schedules The Problem Transport is one of the largest controllable costs in mining-and one of the hardest to optimize without integrated planning. When production schedules shift, loading windows aren't aligned, or materials aren't ready on time, trucks, railcars, and barges sit idle. These inefficiencies aren't always tracked, but they show up in increased transport costs, missed delivery targets, and unnecessary detention fees. The Solution Advanced planning software can: Align asset scheduling with production and inventory readiness Forecast and optimize asset utilization across transport modes Improve coordination with 3PLs and carriers through shared visibility Callout: A North American mining operator increased fleet utilization by 22% by aligning mine output schedules with real-time transport capacity and adopting a shared planning calendar with its 3PLs. Final Takeaway: The Real Cost of Disconnection The problem isn't just the costs themselves-it's that they're invisible to decision-makers until it's too late. Disconnected spreadsheets, manual planning, and siloed communication lead to: Reactive decisions High firefighting costs A false sense of control By leveraging modern supply chain planning software and an experienced transformation partner, mining companies can: Surface the true cost of inefficiency Fix the root causes-not just the symptoms Build agility, accuracy, and resilience into day-to-day operations Ready to Find What's Hiding in Your Supply Chain? These hidden costs don't have to be permanent. They're signals-pointing toward gaps that can be closed with the right technology, processes, and leadership. At Scott Sheldon, we help mining and metals clients optimize planning, eliminate waste, and build supply chains that can adapt as fast as the market moves. Citations & Sources ThroughPut AI - What is Multi-Echelon Inventory Optimization? Wolters Kluwer - Improving Inventory Management Across the Supply Chain o9 Solutions - Next-Gen Supply Chain Planning Caterpillar (Case Study) - Inventory cost savings via MEIO practices Life Cycle Engineering - The Hidden Costs of Expedited Shipping APQC - Transportation Management Benchmarks and Best Practices SupplyChainDive - Why Expedited Freight Is a Red Flag ResearchGate - Optimizing Transport Infrastructure in Mining Supply Chains Esri - Fleet and Logistics Optimization Using GIS Various TMS Providers - Insights from Oracle, MercuryGate, and Manhattan Associates Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "5 Signs Your ERP Isn't Enough for Supply Chain Planning Anymore - neos by Argon & Co" source_url: "https://neosbyargonandco.com/5-signs-your-erp-isnt-enough-for-supply-chain-planning-anymore" page_path: "/5-signs-your-erp-isnt-enough-for-supply-chain-planning-anymore" page_type: "generic" crawled_at: "2026-09-23T13:41:11Z" content_changed_at: "2026-09-23T13:41:11Z" content_unchanged_days: 0 observed_days: 0 --- 5 Signs Your ERP Isn't Enough for Supply Chain Planning Anymore - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read 5 Signs Your ERP Isn't Enough for Supply Chain Planning Anymore How to Recognize When It's Time for a Purpose-Built Supply Chain Planning Solution Diane Jordan May 5, 2026 For mid-sized companies, your ERP system often started as the all-in-one business solution. It handles finance, inventory, and maybe even light demand and supply planning. But as your supply chain complexity increases, cracks in that foundation start to show. You may not need to replace your ERP-but if you're using it as your primary planning tool , it's time to ask: Is it still serving you-or are you working around it? Here are five clear signs that your ERP isn't enough for today's planning challenges. 1. You're Always Planning in Spreadsheets-Despite Having an ERP If your team extracts data from your ERP into Excel to "actually do the planning," that's a red flag. It means the planning module lacks the agility, usability, or speed needed to support daily decisions. According to Gartner, over 60% of companies using ERP-native planning rely on offline spreadsheets for scenario analysis and decision-making (Gartner, 2023). What it costs you: Delayed decisions Version control issues Missed demand signals and misaligned supply 2. Your System Can't Model 'What-If' Scenarios Let's say a supplier goes offline, a big customer cancels an order, or you need to evaluate alternate sourcing-can your ERP model that quickly? Most ERP-native planning tools weren't built for real-time scenario modeling . Instead, planners must rebuild data sets manually or wait on IT to run simulations. In today's volatile environment, that lag is dangerous. McKinsey found that companies with scenario planning capabilities were twice as likely to recover faster from supply disruptions (McKinsey, 2022). 3. You're Reacting Instead of Planning If your planning process feels like a never-ending loop of firefighting, late shipments, or inventory surprises, your system likely can't support concurrent, cross-functional planning . ERP systems tend to be transactional-great at recording what happened, not guiding what should happen. Symptoms include: Short-term fixes overriding long-term strategy Supply chain planning disconnected from sales and finance No clear visibility into bottlenecks or risks until it's too late 4. Your Business Is Growing-but the System Isn't Keeping Up New products, new regions, more suppliers-it's all good news for growth, but bad news for an ERP-native planning setup. As complexity increases, ERP planning tools often struggle with: Multi-site inventory balancing Lead time variability Agile demand forecasting If your planners are saying "the system won't let us do that," they're likely compensating for a lack of capability with manual workarounds. A study by Deloitte found that 41% of supply chain leaders cite poor system flexibility as a barrier to growth ( Deloitte Global CPO Survey, 2023 ). 5. Planners Are Working Around the System-Not With It When your best supply chain minds are spending their time exporting, reconciling, and fixing data instead of planning , it's a sign the system is slowing them down. What starts as a minor workaround eventually leads to: Tribal knowledge silos Fragile manual processes Increased risk of human error Productivity loss due to poor planning systems costs mid-sized companies millions annually in missed margin and inefficiencies , according to Supply Chain Quarterly ( SCQ, 2023 ). What's the Alternative? Modern planning platforms like Kinaxis Planning One are purpose-built to work alongside your ERP-not replace it. They bring: Real-time visibility Automated simulations Cross-functional collaboration Cloud-based scalability without IT burden And with a crawl-walk-run approach, you can start small , get value quickly, and expand over time. Is It Time to Level Up? If you recognized even two or three of the signs above , it's worth exploring whether a modern supply chain planning solution could unlock agility, visibility, and margin for your business. Coming Soon: Planning Readiness Checklist Book a quick consult: How Do Mid-Sized Companies Successfully Transition from ERP Planning? Let's talk about what's holding your planning process back-and how to move forward without disruption. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "About - neos by Argon & Co" source_url: "https://neosbyargonandco.com/about" page_path: "/about" page_type: "about" crawled_at: "2026-09-23T13:41:14Z" content_changed_at: "2026-09-23T13:41:14Z" content_unchanged_days: 0 observed_days: 0 --- About - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co Our Story Built to connect strategy to execution, neos brings together deep supply chain expertise and proven delivery to help organizations turn plans into real, measurable outcomes. Our Story Neos was built on a simple belief: supply chain strategy only creates value when it can be executed. We bring together deep operational expertise and hands-on technology delivery to help organizations move from planning to action, turning complex challenges into real, measurable outcomes. Our team combines experience across industries, functions, and technologies, with a focus on solving problems where they actually occur. By aligning business priorities with system execution, we deliver solutions that are practical, scalable, and built to last. Local knowledge paired with global experience defines how we operate. Backed by Argon & Co's international footprint, we combine deep understanding of regional markets with hands-on delivery across industries, allowing us to lead initiatives that are both complex and transformative. We focus on delivering value quickly by bringing practical experience and applying it where it matters most. By connecting business strategy with system execution, we provide a seamless, end-to-end approach that drives measurable impact from day one through ongoing support. 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Work on complex, high-impact projects while developing your skills alongside experienced teams across industries solving real supply chain challenges. We'd love to hear from you! Position Title About Role Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed non risus. Suspendisse lectus tortor, dignissim sit amet, adipiscing nec, ultricies sed, dolor. Cras elementum ultrices diam. Maecenas ligula massa, varius a, semper congue, euismod non, mi. You Will Proin porttitor, orci nec nonummy molestie, enim est eleifend mi, non fermentum diam nisl sit amet erat. Duis semper. Duis arcu massa, scelerisque vitae, consequat in, pretium a, enim. Pellentesque congue. Ut velit mauris, egestas sed, gravida nec, ornare ut, mi. Aenean ut orci vel massa suscipit pulvinar. Nulla sollicitudin. Fusce varius, ligula non tempus aliquam, nunc turpis ullamcorper nibh, in tempus sapien eros vitae ligula. Location & Logistics Ut in risus volutpat libero pharetra tempor. Cras vestibulum bibendum augue. Praesent egestas leo in pede. Praesent blandit odio eu enim. Pellentesque sed dui ut augue blandit sodales. Compensation & Benefits Vestibulum ante ipsum primis in faucibus orci luctus et ultrices posuere cubilia curae; Aliquam nibh. Mauris ac mauris sed pede pellentesque fermentum. Maecenas adipiscing ante non diam sodales hendrerit. APPLY NOW Position Title About Role Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed non risus. Suspendisse lectus tortor, dignissim sit amet, adipiscing nec, ultricies sed, dolor. Cras elementum ultrices diam. Maecenas ligula massa, varius a, semper congue, euismod non, mi. You Will Proin porttitor, orci nec nonummy molestie, enim est eleifend mi, non fermentum diam nisl sit amet erat. Duis semper. Duis arcu massa, scelerisque vitae, consequat in, pretium a, enim. Pellentesque congue. Ut velit mauris, egestas sed, gravida nec, ornare ut, mi. Aenean ut orci vel massa suscipit pulvinar. Nulla sollicitudin. Fusce varius, ligula non tempus aliquam, nunc turpis ullamcorper nibh, in tempus sapien eros vitae ligula. Location & Logistics Ut in risus volutpat libero pharetra tempor. Cras vestibulum bibendum augue. Praesent egestas leo in pede. Praesent blandit odio eu enim. Pellentesque sed dui ut augue blandit sodales. Compensation & Benefits Vestibulum ante ipsum primis in faucibus orci luctus et ultrices posuere cubilia curae; Aliquam nibh. Mauris ac mauris sed pede pellentesque fermentum. Maecenas adipiscing ante non diam sodales hendrerit. APPLY NOW Position Title About Role Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed non risus. Suspendisse lectus tortor, dignissim sit amet, adipiscing nec, ultricies sed, dolor. Cras elementum ultrices diam. Maecenas ligula massa, varius a, semper congue, euismod non, mi. You Will Proin porttitor, orci nec nonummy molestie, enim est eleifend mi, non fermentum diam nisl sit amet erat. Duis semper. Duis arcu massa, scelerisque vitae, consequat in, pretium a, enim. Pellentesque congue. Ut velit mauris, egestas sed, gravida nec, ornare ut, mi. Aenean ut orci vel massa suscipit pulvinar. Nulla sollicitudin. Fusce varius, ligula non tempus aliquam, nunc turpis ullamcorper nibh, in tempus sapien eros vitae ligula. Location & Logistics Ut in risus volutpat libero pharetra tempor. Cras vestibulum bibendum augue. Praesent egestas leo in pede. Praesent blandit odio eu enim. Pellentesque sed dui ut augue blandit sodales. Compensation & Benefits Vestibulum ante ipsum primis in faucibus orci luctus et ultrices posuere cubilia curae; Aliquam nibh. Mauris ac mauris sed pede pellentesque fermentum. Maecenas adipiscing ante non diam sodales hendrerit. APPLY NOW Position Title About Role Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed non risus. Suspendisse lectus tortor, dignissim sit amet, adipiscing nec, ultricies sed, dolor. Cras elementum ultrices diam. Maecenas ligula massa, varius a, semper congue, euismod non, mi. You Will Proin porttitor, orci nec nonummy molestie, enim est eleifend mi, non fermentum diam nisl sit amet erat. Duis semper. Duis arcu massa, scelerisque vitae, consequat in, pretium a, enim. Pellentesque congue. Ut velit mauris, egestas sed, gravida nec, ornare ut, mi. Aenean ut orci vel massa suscipit pulvinar. Nulla sollicitudin. Fusce varius, ligula non tempus aliquam, nunc turpis ullamcorper nibh, in tempus sapien eros vitae ligula. Location & Logistics Ut in risus volutpat libero pharetra tempor. Cras vestibulum bibendum augue. Praesent egestas leo in pede. Praesent blandit odio eu enim. Pellentesque sed dui ut augue blandit sodales. Compensation & Benefits Vestibulum ante ipsum primis in faucibus orci luctus et ultrices posuere cubilia curae; Aliquam nibh. Mauris ac mauris sed pede pellentesque fermentum. Maecenas adipiscing ante non diam sodales hendrerit. APPLY NOW Position Title About Role Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed non risus. Suspendisse lectus tortor, dignissim sit amet, adipiscing nec, ultricies sed, dolor. Cras elementum ultrices diam. Maecenas ligula massa, varius a, semper congue, euismod non, mi. You Will Proin porttitor, orci nec nonummy molestie, enim est eleifend mi, non fermentum diam nisl sit amet erat. Duis semper. Duis arcu massa, scelerisque vitae, consequat in, pretium a, enim. Pellentesque congue. Ut velit mauris, egestas sed, gravida nec, ornare ut, mi. Aenean ut orci vel massa suscipit pulvinar. Nulla sollicitudin. Fusce varius, ligula non tempus aliquam, nunc turpis ullamcorper nibh, in tempus sapien eros vitae ligula. Location & Logistics Ut in risus volutpat libero pharetra tempor. Cras vestibulum bibendum augue. Praesent egestas leo in pede. Praesent blandit odio eu enim. Pellentesque sed dui ut augue blandit sodales. Compensation & Benefits Vestibulum ante ipsum primis in faucibus orci luctus et ultrices posuere cubilia curae; Aliquam nibh. Mauris ac mauris sed pede pellentesque fermentum. Maecenas adipiscing ante non diam sodales hendrerit. APPLY NOW Neos Founder - Paul David Roddis 5th July 1970 - 21st August 2025 Paul believed that successful technology delivery starts with a deep understanding of the supply chain, not just the systems that support it. That belief continues to shape neos today. We carry forward his commitment to practical thinking, strong partnerships, and delivering solutions that make a real difference. We honor his legacy and the impact he had on our team, our clients, and the wider industry. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. 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Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Advanced Planning Tool, ERP, or Spreadsheet? How Mid-Market Companies Can Choose the Right Fit for Supply Chain Planning Diane Jordan May 4, 2026 As mid-sized companies scale, the systems that once "worked just fine" start to fail quietly-and then suddenly. What began as a few tabs in Excel grows into a web of spreadsheets that don't talk to each other. ERP planning modules, once seen as a one-stop shop, begin to show their limits under the strain of variability, global sourcing, and customer service demands. So what's the right planning strategy? Stick with spreadsheets? Upgrade the ERP? Or invest in an advanced planning tool? This blog breaks down each approach and offers a practical guide to help you choose the right path for your business, backed by industry data and real-world examples. Option 1: Spreadsheets Still common-but a risk under pressure Spreadsheets remain the dominant planning method for small to mid-sized supply chains. Why? They're flexible, familiar, and don't require new software investment. But as the business grows, so do the limitations: 68% of supply chain planners still use spreadsheets as their primary planning tool (Gartner, 2023), but most cite them as a source of errors, lack of visibility, and poor responsiveness. Spreadsheets don't support real-time collaboration, which leads to siloed decision-making and version control nightmares . They are reactive, not predictive-there's no built-in ability to simulate changes, model risk, or proactively plan across functions. The result: Poor service levels, excess inventory, fire-drill planning, and missed opportunities. Option 2: ERP-Native Planning Convenient, but not built for agility ERP systems often include planning modules-whether it's SAP IBP, Microsoft Dynamics, Oracle NetSuite, or others. These tools are fine for basic needs but tend to fall short as supply chain complexity increases. Common limitations: Slow data refresh cycles - no real-time visibility into shifting demand or supply Hard-coded logic - little flexibility to model unique business processes Limited scenario planning - often require separate tools for "what-if" analysis Poor usability for planners - workflows often built for finance, not supply chain users According to a study by McKinsey, "ERP-native planning modules often fail to support today's volatility, especially in organizations with multi-tier or global networks" (McKinsey, 2022). ERP works well for execution-but planning is a different game. When you need to model trade-offs, mitigate risk, or react quickly, it often becomes a bottleneck. Option 3: Advanced Supply Chain Planning Tools Solutions like Kinaxis Planning One , ketteQ , and others are purpose-built to handle today's supply chain volatility-particularly for growing mid-sized companies that want enterprise-grade capabilities without enterprise bloat . Key capabilities: Concurrent planning - Align supply, demand, and inventory in real time What-if scenario modeling - Assess the impact of changes before they happen Collaboration across silos - Sales, operations, and finance can work together Integrates with your existing ERP - Extends rather than replaces your tech stack According to Gartner, companies that adopt advanced planning tools reduce inventory by up to 20% while improving service levels by 10-15% (Gartner Supply Chain Planning Guide, 2023). Mid-market advantage: Platforms like Kinaxis Planning One are designed specifically to bring advanced capabilities to mid-sized enterprises , with: Faster time to value Lower IT overhead Subscription-based pricing Cloud-native delivery Real-World Indicators You've Outgrown Your Current Planning Approach sk yourself: Are we relying on tribal knowledge to fill data gaps? Can we see the impact of supplier delays or demand spikes instantly? Are planners spending more time cleaning up than planning ahead? Is our service level performance tied to manual effort? If the answer is "yes" You Don't Have to Rip and Replace A common fear in the mid-market: implementing advanced planning will be too disruptive or expensive. In reality, modern planning platforms are designed for phased adoption -a crawl-walk-run approach that lets you start with what matters most: visibility, collaboration, or inventory optimization. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Agentic AI in Supply Chain: Accelerate Results Without Sacrificing Control - neos by Argon & Co" source_url: "https://neosbyargonandco.com/agentic-ai-in-supply-chain-accelerate-results-without-sacrificing-control" page_path: "/agentic-ai-in-supply-chain-accelerate-results-without-sacrificing-control" page_type: "service" crawled_at: "2026-09-23T13:41:21Z" content_changed_at: "2026-09-23T13:41:21Z" content_unchanged_days: 0 observed_days: 0 --- Agentic AI in Supply Chain: Accelerate Results Without Sacrificing Control - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Agentic AI in Supply Chain: Accelerate Results Without Sacrificing Control Diane Jordan August 5, 2026 AI is evolving - fast. What started as a tool for recommendations and insights is now shifting toward agentic AI , where systems can act autonomously to achieve defined goals. In supply chain management, this represents both an exciting opportunity and a serious responsibility. What Is Agentic AI? Agentic AI refers to AI that doesn't just recommend actions - it takes them on your behalf . Unlike traditional AI, which suggests or forecasts, agentic AI is designed to: Make decisions Act independently (within defined rules) Pursue goals and adjust dynamically In supply chain, that means moving from "here's what you should do" to "I've done it already." Examples include: Automatically adjusting inventory orders when stock levels fall. Rerouting shipments to avoid delays without human intervention. Selecting and initiating optimal supply plans based on real-time scenario analysis. Why Supply Chain Leaders Are Paying Attention Supply chains face relentless pressure: Disruptions are constant (tariffs, port shutdowns, labor issues) Speed is critical (customer expectations, cost control) Talent gaps are widening (knowledge drain, hiring challenges) Agentic AI offers huge potential benefits: Faster response times - no waiting for human review Reduced repetitive tasks - freeing planners for higher-value work More resilient operations - AI dynamically adapts to changes Optimized outcomes - AI finds and executes the best path in real time Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "AI Add Ons: When Extending Your Planning Platform Makes Sense - neos by Argon & Co" source_url: "https://neosbyargonandco.com/ai-add-ons-when-extending-your-planning-platform-makes-sense" page_path: "/ai-add-ons-when-extending-your-planning-platform-makes-sense" page_type: "generic" crawled_at: "2026-09-23T13:41:25Z" content_changed_at: "2026-09-23T13:41:25Z" content_unchanged_days: 0 observed_days: 0 --- AI Add Ons: When Extending Your Planning Platform Makes Sense - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read AI Add Ons: When Extending Your Planning Platform Makes Sense Diane Jordan July 12, 2025 In the first article in this series, we explored the strategic crossroads many organizations face as artificial intelligence becomes a central capability in supply chain planning. Companies must determine whether to extend existing planning systems, replace legacy platforms, or rethink the operating model entirely. For many organizations, the most practical starting point is extending the planning platform they already have in place. Most supply chain teams have invested significant time building planning processes, integrating data across systems, and training planners to operate effectively within their current planning environment. Even when newer technologies emerge, replacing these systems can be costly, disruptive, and risky for daily operations. As a result, many organizations are exploring how AI capabilities can enhance their current planning platforms rather than replacing them outright. The question is not simply whether AI can be added. The real question is whether the existing platform provides a foundation that allows those capabilities to deliver meaningful value. Artificial intelligence is already reshaping how supply chains plan and respond to changing conditions, enabling organizations to improve forecasting accuracy, automate planning tasks, and detect supply risks earlier than traditional planning methods allow. For companies with a stable planning foundation, extending the existing platform with AI can be a logical and effective first step. What AI Extensions Actually Look Like In many planning environments today, AI does not replace the core planning system. Instead, it operates as an additional layer that improves decision making within existing workflows. One common application involves improving demand forecasting. Machine learning models can analyze large volumes of historical and operational data to identify patterns that traditional statistical methods often miss. These models continuously learn from new information, allowing forecasts to improve over time and adjust more quickly to market changes. Another emerging capability is the use of AI copilots that assist planners during the decision process. Rather than manually reviewing dozens of reports and spreadsheets, planners can interact with systems that summarize key insights, highlight supply risks, and suggest potential responses to demand or supply changes. Decision intelligence tools represent another area where AI extensions can provide value. These tools monitor supply chain signals continuously, identifying early indicators of disruptions such as supplier delays, forecast volatility, or inventory imbalances. When these issues are detected earlier, planners can evaluate scenarios and adjust plans before the impact spreads through the network. In each of these cases, the AI capability enhances how planners interact with the planning system rather than replacing it. The goal is to improve the speed and quality of decisions while keeping the existing planning structure intact. When Extending Existing Platforms Works Well Extending a planning platform with AI tends to work best when the underlying planning environment is already relatively mature. Organizations with well established planning processes, reliable master data, and strong system integration are often able to layer AI capabilities onto their current platforms successfully. In these environments, AI can accelerate insights, improve forecast quality, and support faster scenario evaluation without requiring a major transformation of the planning infrastructure. Platform flexibility is also an important factor. Some modern planning systems were designed to accommodate additional analytical tools and external data models. These platforms allow organizations to integrate machine learning models or analytics environments while continuing to use the core planning engine. When that level of flexibility exists, companies can introduce AI capabilities gradually. Instead of launching a large transformation program, they can focus on targeted improvements such as forecasting accuracy, supply disruption monitoring, or inventory optimization. Over time, these incremental improvements can significantly enhance planning performance while minimizing disruption to the planning organization. When AI Extensions Become Difficult Despite the advantages of extending existing platforms, this approach is not always straightforward. Some planning systems were designed around rigid architectures that make it difficult to integrate modern analytics tools. These systems may rely on batch processing cycles, limited data models, or tightly coupled system components that restrict the flow of new data sources and analytical models. In these environments, adding AI tools can introduce additional complexity rather than simplifying decision making. Planners may find themselves navigating multiple disconnected systems while attempting to reconcile outputs from different analytical models. Data quality can also become a limiting factor. Artificial intelligence depends heavily on consistent and well structured data. If master data is fragmented across systems or planning processes rely heavily on manual adjustments, the value of AI capabilities may be limited. Many organizations discover that the biggest challenge is not the AI model itself but the readiness of the planning environment that surrounds it. Without a strong data foundation and well integrated systems, even advanced AI capabilities struggle to deliver consistent results. Five Questions to Ask Before Extending Your Planning Platform with AI Before investing in AI add ons, supply chain leaders should step back and evaluate whether their current planning environment can support these capabilities effectively. The following questions can help determine whether extending the existing platform is the right path. 1. Can our current planning platform support real time data integration? Many AI capabilities depend on access to large volumes of current data across demand, supply, inventory, and operational systems. If your planning platform relies on periodic batch updates or limited integration points, AI tools may struggle to deliver meaningful insights. 2. Do we have the data quality required for AI models to work effectively? AI models rely on clean and consistent data. If planners spend significant time correcting master data issues or manually reconciling systems, the effectiveness of AI capabilities may be limited. 3. Will AI insights fit naturally into our existing planning workflows? New analytical tools often fail because they operate outside the core planning process. The most effective AI capabilities integrate directly into the environment where planners already evaluate and make decisions. 4. Does our planning platform allow external models and tools to integrate easily? Some planning systems were designed with extensibility in mind while others are much more rigid. Organizations should examine whether their platform supports open integration with modern analytics tools and machine learning models. 5. Are we solving the right problem with AI? Before introducing new technology, supply chain leaders should clearly define the planning decision they want to improve. Whether the objective is better forecasts, faster scenario evaluation, or improved supply response, AI capabilities should align with a specific operational outcome. When these questions have positive answers, extending the planning platform with AI can be an effective and relatively low disruption way to improve planning performance. A Practical Starting Point for Many Organizations Despite its limitations, extending existing planning platforms remains an attractive path for many companies. It allows organizations to experiment with AI capabilities, improve planning insights, and begin building experience with new analytical tools without committing to a large scale transformation effort. This approach also provides an opportunity to evaluate how AI capabilities actually improve planning performance. In some cases, incremental improvements may deliver the majority of the value organizations are seeking. In other cases, these early efforts reveal deeper architectural limitations that eventually lead companies to consider more significant changes to the planning environment. Either way, extending existing platforms often serves as a practical first step in the broader journey toward more intelligent and responsive planning environments. Looking Ahead In the next article in this series, we will explore the second path organizations are evaluating as AI capabilities expand. For some companies, the limitations of legacy planning systems become clear as they attempt to integrate modern analytics and decision intelligence capabilities. When those limitations begin to affect planning performance, the conversation often shifts toward replacing legacy planning platforms with systems designed for more dynamic and concurrent planning environments. Understanding when that shift becomes necessary is the focus of our next discussion. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "AI Buzzwords in Supply Chain Planning: What They Really Mean - neos by Argon & Co" source_url: "https://neosbyargonandco.com/ai-buzzwords-in-supply-chain-planning-what-they-really-mean" page_path: "/ai-buzzwords-in-supply-chain-planning-what-they-really-mean" page_type: "generic" crawled_at: "2026-09-23T13:41:28Z" content_changed_at: "2026-09-23T13:41:28Z" content_unchanged_days: 0 observed_days: 0 --- AI Buzzwords in Supply Chain Planning: What They Really Mean - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read AI Buzzwords in Supply Chain Planning: What They Really Mean Diane Jordan June 15, 2025 Artificial intelligence is transforming supply chain planning. At the same time, it is introducing a growing list of new terms into supply chain technology discussions. Vendors now reference cognitive supply chains, autonomous planning, digital twins, decision intelligence, generative planning, and Agentic AI. These terms appear frequently in product demonstrations, conference presentations, and marketing materials. For supply chain leaders evaluating planning platforms, the challenge is not simply understanding artificial intelligence itself. It is understanding what these terms actually mean and how they translate into real planning capabilities. Some of these concepts represent meaningful advances in planning technology. Others are simply new ways of describing capabilities that have existed for years. Understanding the difference can help organizations evaluate planning platforms more effectively. Cognitive Planning The phrase cognitive supply chain or cognitive planning is often used to describe systems that analyze large amounts of supply chain data and generate insights to support planning decisions. In most cases, cognitive planning refers to the use of machine learning and advanced analytics to detect patterns in demand signals, supply constraints, or operational disruptions. These systems may identify demand changes earlier, highlight potential risks in the supply network, or surface planning recommendations that require attention. The important question is not whether a system is labeled cognitive. The important question is how effectively the platform analyzes data and how those insights influence planning decisions. Autonomous Planning Autonomous planning suggests a supply chain planning environment that can automatically respond to changes in demand, supply, or operational conditions without human intervention. In reality, fully autonomous supply chain planning environments are extremely rare. Planning decisions influence customer commitments, production schedules, inventory investments, and financial outcomes. Because of this, most organizations require human oversight before major planning decisions are implemented. In practice, autonomous planning usually refers to systems that automate portions of the planning process. For example, a system may automatically generate baseline forecasts, recommend inventory adjustments, or propose supply responses when disruptions occur. Human planners remain responsible for evaluating those recommendations and making final decisions. Digital Twins The concept of a digital twin has gained significant attention across many industries. In supply chain planning, a digital twin generally refers to a digital representation of the supply chain network that allows planners to simulate different scenarios and evaluate potential outcomes. These environments allow organizations to explore questions such as how supplier disruptions might affect service levels, how production constraints could influence inventory availability, or how demand shifts might impact distribution networks. While the term digital twin has become popular more recently, the underlying idea of scenario simulation has existed in planning systems for many years. What has changed is the scale and speed with which modern planning platforms can evaluate these scenarios. Decision Intelligence Decision intelligence is a term that describes planning systems designed to support complex business decisions rather than simply generate reports. These systems combine data analytics, machine learning, and scenario modeling to help planners evaluate tradeoffs between service levels, cost, and risk. Rather than presenting large volumes of data, decision intelligence platforms highlight recommended actions, potential risks, and alternative scenarios that planners can explore. In many ways, this reflects the broader evolution of supply chain planning systems from reporting tools into decision support environments. Generative Planning Generative planning is a newer concept that applies ideas from generative AI to supply chain planning. In these environments, AI models may generate potential supply plans, evaluate possible network responses, or suggest planning adjustments based on observed conditions. The system may propose several potential approaches and allow planners to evaluate which option best fits business objectives. These capabilities can help planners explore more scenarios than would normally be possible using traditional planning methods. However, as with many AI driven capabilities, the value ultimately depends on how effectively the system integrates those suggestions into real planning workflows. Agentic AI Agentic AI is one of the newest terms appearing in supply chain technology discussions. The concept refers to software agents that continuously monitor supply chain data, detect emerging issues, and recommend potential responses. These agents behave somewhat like digital planners that observe demand signals, inventory levels, supplier performance, and operational disruptions. However, it is important to recognize that today's AI systems are not fully autonomous decision makers. Most current implementations operate with a human in the loop model. AI agents identify potential issues and recommend actions, while human planners evaluate those recommendations and make final decisions. In practice, Agentic AI often functions as an intelligent assistant that helps planners monitor complex supply chain environments more effectively. Why Understanding These Terms Matters Artificial intelligence is introducing meaningful advances into supply chain planning environments. However, the terminology surrounding these technologies can sometimes obscure what systems actually do. For supply chain leaders evaluating planning platforms, the most important questions are not about buzzwords. The most important questions are about outcomes. Does the system improve forecasting accuracy? Can planners evaluate scenarios more quickly? Does the platform help identify supply chain risks earlier? Does it improve service levels while reducing excess inventory? These are the measures that ultimately determine whether planning technology delivers value. Looking Ahead Artificial intelligence will continue to reshape supply chain planning, and new terminology will inevitably follow. For supply chain leaders, the goal is not to avoid these technologies but to understand how they influence planning capabilities and decision making. In the final article in this series, we will explore how artificial intelligence may transform the future of supply chain planning organizations and what the next generation of planning environments may look like. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "AI in Supply Chain Planning: Real Intelligence or Just Better Algorithms? - neos by Argon & Co" source_url: "https://neosbyargonandco.com/ai-in-supply-chain-planning-real-intelligence-or-just-better-algorithms" page_path: "/ai-in-supply-chain-planning-real-intelligence-or-just-better-algorithms" page_type: "generic" crawled_at: "2026-09-23T13:41:32Z" content_changed_at: "2026-09-23T13:41:32Z" content_unchanged_days: 0 observed_days: 0 --- AI in Supply Chain Planning: Real Intelligence or Just Better Algorithms? - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read AI in Supply Chain Planning: Real Intelligence or Just Better Algorithms? Diane Jordan June 18, 2025 Artificial intelligence has become one of the most widely used terms in supply chain technology marketing. Nearly every planning platform now claims to offer AI driven capabilities. Vendors frequently reference machine learning, autonomous planning, cognitive supply chains, decision intelligence, and now even Agentic AI. For many supply chain leaders, this creates a fundamental challenge. How do you distinguish between genuine artificial intelligence capabilities and traditional planning algorithms that have existed for years? Understanding the difference is important because the technology choices organizations make today will influence their planning capabilities for many years to come. The History of Algorithms in Supply Chain Planning Supply chain planning systems have relied on sophisticated mathematical models for decades. Optimization engines have long been used to determine production schedules, allocate inventory, and balance supply and demand across networks. Forecasting models have incorporated statistical techniques to predict demand patterns and adjust for seasonality or trend. These models are powerful and remain essential to modern planning systems. However, they are not the same as artificial intelligence. Traditional planning algorithms rely on predefined mathematical rules that are designed and configured by experts. Once implemented, these models generally behave in predictable ways unless parameters or logic are manually adjusted. Artificial intelligence introduces a different type of capability. What Makes Artificial Intelligence Different Artificial intelligence systems are designed to learn from data and adapt their behavior over time. Instead of relying entirely on predefined rules, AI models can identify patterns within large volumes of data and continuously refine their predictions as new information becomes available. In supply chain planning, this can take several forms. Machine learning models can improve forecasting accuracy by identifying demand signals that traditional statistical models may not detect. AI systems can analyze large numbers of scenarios to identify potential supply chain risks earlier. Advanced analytics can identify relationships between demand, supply constraints, and operational disruptions that are difficult to detect using traditional models. These capabilities allow planning systems to become more adaptive and responsive to changing conditions. However, the presence of algorithms alone does not necessarily mean that a planning system is using artificial intelligence. Why the Distinction Matters Many planning platforms combine traditional optimization techniques with newer analytical capabilities. In some cases, vendors describe these advanced algorithms as artificial intelligence even when the underlying models behave in ways similar to earlier planning technologies. For organizations evaluating planning platforms, the distinction matters because different technologies offer different levels of adaptability. A system based primarily on traditional optimization models may perform extremely well in stable environments but require manual adjustment when market conditions change. AI driven systems may be able to identify new patterns or signals more quickly and adapt forecasts or planning recommendations accordingly. Understanding how these technologies operate can help organizations make more informed decisions about which platforms best support their planning strategies. Three Questions Every Vendor Should Be Able to Answer As vendors increasingly promote artificial intelligence capabilities within their planning platforms, supply chain leaders should focus on asking clear and practical questions that reveal how the technology actually works. Three questions in particular can quickly clarify whether a platform truly incorporates artificial intelligence or primarily relies on traditional analytical techniques. 1. How does your system learn from new data over time? Artificial intelligence systems improve by learning from data. Ask vendors how their models adapt as new demand signals, operational data, and external information become available. Do models retrain automatically or require manual adjustment by system administrators? If the system relies primarily on predefined statistical models or rules that must be periodically reconfigured, it may be using advanced analytics rather than adaptive AI. 2. What decisions does the AI actually influence? Many planning platforms include machine learning components that generate insights but do not meaningfully influence planning decisions. Ask vendors where artificial intelligence actually impacts the planning process. Does it improve forecasting accuracy, identify supply chain risks earlier, or recommend actions that planners can evaluate? Understanding where AI is embedded in the planning workflow helps determine whether it meaningfully improves decision making. 3. How much investment is being made in AI research and development? Artificial intelligence capabilities are evolving quickly. Vendors that are serious about AI are investing heavily in research and development. Supply chain leaders should ask vendors how much of their annual revenue is invested in research and development and what portion of that investment is focused specifically on artificial intelligence capabilities. Organizations should also explore how frequently new capabilities are released and how actively the vendor continues to evolve its analytical models. In a rapidly changing technology landscape, the long term value of a planning platform is often determined not only by what the system can do today, but by how quickly the vendor continues to innovate. What Vendors Mean When They Talk About Agentic AI Another term that is beginning to appear frequently in supply chain technology discussions is Agentic AI. The idea behind Agentic AI is that software systems can operate as intelligent agents that monitor data, identify problems, evaluate possible responses, and recommend or initiate actions within a planning environment. In theory, these agents behave somewhat like digital planners. They continuously observe supply chain signals, analyze potential scenarios, and help guide planning decisions. However, it is important to recognize that today's AI systems are not fully autonomous decision makers. Even the most advanced AI driven planning platforms still rely on human oversight and governance. Most organizations are not comfortable allowing AI systems to make critical supply chain decisions without human review, particularly when those decisions influence customer commitments, production schedules, or inventory investments. As a result, when vendors talk about Agentic AI today, they are usually describing systems that perform three primary functions. First, the system continuously monitors data across the planning environment. Second, the system identifies potential issues or opportunities such as unexpected demand shifts, supply constraints, or inventory imbalances. Third, the system recommends potential responses or planning adjustments that human planners can review and evaluate. In most current implementations, these agents function more like advanced analytical assistants rather than fully autonomous decision makers. How to Validate Agentic AI Claims Because the term Agentic AI can mean different things depending on the vendor, supply chain leaders should ask several practical questions. What actions can the AI agent actually take? Some systems simply generate alerts or recommendations. Others may automatically initiate workflows or scenario analyses. Understanding whether the system only identifies issues or actively supports decision processes helps clarify the level of capability being offered. What level of human oversight is required? Most effective implementations operate with a human in the loop model, where AI agents surface insights and recommended actions while planners remain responsible for evaluating and approving decisions. How are the agents trained and improved over time? Agent based systems rely heavily on data and learning models. Ask vendors how these agents improve over time and how frequently models are updated as supply chain conditions change. Understanding how the agents evolve can reveal whether the system truly adapts or simply follows predefined rules. How AI Changes the Role of the Planner One of the most common concerns surrounding artificial intelligence in supply chain planning is what it means for the people responsible for planning decisions today. Will AI replace planners? In most cases, the answer is no. Artificial intelligence is far better at identifying patterns in large volumes of data and evaluating thousands of potential scenarios than humans. However, supply chain planning decisions rarely depend on data alone. Planners must interpret market signals, understand customer priorities, evaluate operational constraints, and balance tradeoffs between service, cost, and risk. In practice, artificial intelligence tends to change the role of planners rather than replace them. Traditional planning roles often involve significant manual work. Planners may spend large portions of their time adjusting forecasts, reviewing reports, consolidating spreadsheets, or reconciling planning data across multiple systems. AI driven planning systems can automate much of this work. Machine learning models may generate more accurate baseline forecasts. AI systems can detect unusual demand signals, identify potential supply risks, and generate recommended responses. This allows planners to spend less time managing data and more time evaluating decisions. Modern planning environments increasingly operate with a human in the loop model. Artificial intelligence generates insights, identifies patterns, and evaluates potential scenarios. Human planners remain responsible for interpreting those insights and making the final decisions that shape the supply chain. Rather than replacing planners, AI allows planning organizations to elevate their role within the business. The future of supply chain planning will not be defined by artificial intelligence replacing planners, but by planners who learn how to use AI to make better decisions. Looking Ahead Artificial intelligence will continue to reshape supply chain planning in the years ahead. However, the most successful organizations will be those that understand how to combine advanced analytics, optimization techniques, and human expertise to support better planning decisions. In the next article in this series, we will explore another challenge supply chain leaders face when evaluating planning platforms. As AI capabilities expand, so does the number of buzzwords used in supply chain technology marketing. Understanding what these terms actually mean can help organizations navigate the planning technology landscape with greater confidence. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "AI Is Changing Planning. Where Do Humans Fit Now? - neos by Argon & Co" source_url: "https://neosbyargonandco.com/ai-is-changing-planning-where-do-humans-fit-now" page_path: "/ai-is-changing-planning-where-do-humans-fit-now" page_type: "generic" crawled_at: "2026-09-23T13:41:35Z" content_changed_at: "2026-09-23T13:41:35Z" content_unchanged_days: 0 observed_days: 0 --- AI Is Changing Planning. Where Do Humans Fit Now? - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read AI Is Changing Planning. Where Do Humans Fit Now? Diane Jordan September 17, 2025 It is a question many supply chain professionals are asking quietly, even if few say it out loud. Will AI take my job? With the rise of agent driven automation, predictive analytics, and increasingly intelligent planning systems, the concern is understandable. Supply chain roles have always been data heavy and process driven. When technology begins to automate those tasks, it naturally raises uncertainty. But here is the truth. AI will not replace planners. Planners who know how to work with AI will replace those who do not. The future of supply chain work is not about elimination. It is about evolution. The Real Impact of AI on Supply Chain Roles AI is already changing how daily work gets done. Many planning environments now use automation to support tasks such as identifying demand anomalies, generating forecast recommendations, prioritizing suppliers, and adjusting inventory targets based on service goals and risk. These changes are real and accelerating. But tasks are not the same as roles. What is being automated is the repetitive and mechanical work that once consumed much of a planner's day. What remains is the work that requires judgment, context, and accountability. As automation expands, the planner's role shifts away from running numbers and compiling reports and toward interpreting insights, managing exceptions, and guiding decisions. In many organizations, this shift will actually increase the need for skilled supply chain professionals. The difference is that the value they provide will come less from execution and more from insight. How Supply Chain Roles Are Changing The job titles we see today may not exist in five years. That does not mean opportunities will disappear. It means they will look different. Future oriented supply chain teams are already beginning to introduce new types of roles, including: Scenario focused planners Professionals who evaluate options, model tradeoffs, and support decisions across inventory, sourcing, and fulfillment. Insight translators Individuals who can interpret AI generated outputs and clearly explain implications to executive leadership. Planning process architects Leaders who design how data, automation, and human review work together across functions in real time. AI enablement specialists Experts who ensure models are configured correctly, monitored for quality, and continuously improved as the business evolves. These roles sit at the intersection of business understanding and digital capability. They require supply chain knowledge first and technical fluency second. The Skills That Will Matter Most As AI becomes more embedded in planning, certain skills will grow in importance. Data literacy You do not need to be a data scientist, but you must understand how inputs influence outputs and where limitations exist. Critical thinking When technology presents multiple options, the ability to evaluate tradeoffs and explain the recommendation becomes essential. Communication As decisions accelerate, clarity matters more than ever. The ability to align teams quickly will outperform additional analysis. Adaptability Roles will continue to change. Professionals who remain curious and open to learning will stay relevant. These skills are not new. What is new is how central they will become. What Employees Should Be Asking Today Uncertainty grows when conversations do not happen. Rather than waiting for change to arrive, employees should begin engaging leadership now by asking questions such as: Are we investing in AI or automation and how will that change how planning work is done What training or upskilling opportunities will be available How can I participate in pilot programs or early initiatives What future roles are emerging and how can I prepare for them These discussions are not signs of insecurity. They are signs of ownership. The Bottom Line AI will absolutely change supply chain jobs. The greatest risk is not being replaced by technology. It is being unprepared for how work is changing. Professionals who remain passive may struggle as roles evolve around them. Those who lean in, seek understanding, and help shape new ways of working will find themselves more valuable than ever. Your role will change. That does not mean it disappears. It means a new chapter begins, one where your value is defined not by what you repeat, but by how you think, interpret, and lead. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Argon & Co Accelerates US Transformation Strategy with Neos Integration - neos by Argon & Co" source_url: "https://neosbyargonandco.com/argon-co-accelerates-us-transformation-strategy-with-neos-integration" page_path: "/argon-co-accelerates-us-transformation-strategy-with-neos-integration" page_type: "generic" crawled_at: "2026-09-23T13:41:39Z" content_changed_at: "2026-09-23T13:41:39Z" content_unchanged_days: 0 observed_days: 0 --- Argon & Co Accelerates US Transformation Strategy with Neos Integration - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Argon & Co Accelerates US Transformation Strategy with Neos Integration We are pleased to announce that Scott Sheldon, a leading supply chain consulting firm, has completed its full integration into neos by Argon & Co, unifying its team, legacy expertise, and technology capabilities under a single global brand. Julia Roberts September 16, 2026 We are pleased to announce that Scott Sheldon, a leading supply chain consulting firm, has completed its full integration into neos by Argon & Co, unifying its team, legacy expertise, and technology capabilities under a single global brand. Following its acquisition by Argon & Co to form the foundation of its US systems integration practice, Scott Sheldon is now officially dropping the legacy brand name and fully unifying all operations under neos by Argon & Co. "When Scott Sheldon joined Argon & Co, our goal was always to build something bigger and more impactful for our clients," said Scott Spyker, Partner at neos US . "Fully unifying under the neos by Argon & Co name is the natural next step in that journey. While our brand name is changing, our roll-up-your-sleeves culture and commitment to solving complex supply chain challenges remain as strong as ever. Bringing our deep operational domain knowledge fully into neos allows us to offer clients an even broader set of end-to-end capabilities." This total integration brings together Scott Sheldon's decades of hands-on execution expertise in Kinaxis and planning, including Warehouse Management Systems (WMS), Transportation Management Systems (TMS), and logistics, with neos' broad technology integration and supply chain planning capabilities. By sunsetting the legacy brand and operating under a single banner, neos by Argon & Co streamlines its service model in the US market, giving clients a dedicated partner capable of leading transformations from high-level supply chain strategy down to complex technical execution. "Scott Sheldon has been an integral part of our foundation, and completing this brand and operational integration marks an exciting new chapter for neos in the US," said Dan Luttner, Managing Partner at neos by Argon & Co, US. "By bringing the entire team and capability set under one banner at neos, we are eliminating operational silos and making it easier than ever for our clients to bridge the gap between supply chain strategy and seamless technology execution." The new integrated brand can be found at neosbyargonandco.com , where clients and partners can explore neos' full offering and software partner solutions. Welcome packages shared with the neos by Argon & Co team! Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Argon & Co strengthens its end-to-end supply chain capability in the US - neos by Argon & Co" source_url: "https://neosbyargonandco.com/argon-co-strengthens-its-end-to-end-supply-chain-capability-in-the-us" page_path: "/argon-co-strengthens-its-end-to-end-supply-chain-capability-in-the-us" page_type: "generic" crawled_at: "2026-09-23T13:41:42Z" content_changed_at: "2026-09-23T13:41:42Z" content_unchanged_days: 0 observed_days: 0 --- Argon & Co strengthens its end-to-end supply chain capability in the US - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Argon & Co strengthens its end-to-end supply chain capability in the US Expanding North American capabilities through Scott Sheldon. admin February 27, 2026 Argon & Co, the global management consultancy specializing in supply chain strategy and transformation, is pleased to announce that it has been joined by North American consulting firm Scott Sheldon LLC. This step expands Argon & Co's presence, capability and capacity to support North American clients on delivering large-scale supply chain transformation and lasting operational improvement. Scott Sheldon is a global boutique consultancy whose expert team works closely with clients in a variety of industries to optimize their supply chain operations. The company has over 20 years of experience across the US and Europe and a proven track record of delivering results in complex supply chain advisory, digital system implementation and operational readiness projects. The move brings together Argon & Co's strategic advisory depth with Scott Sheldon's proven technology deployment and enablement expertise. Clients now have a clear, end-to-end path from strategy definition through to implementation and sustained impact. Scott Sheldon will form a key part of Argon & Co's Systems Integration team, neos by Argon & Co. By implementing and managing market-leading software platforms for clients, this team will support their digital supply chain transformations. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "admin, Author at neos by Argon & Co" source_url: "https://neosbyargonandco.com/author/admin_yejgmtep" page_path: "/author/admin_yejgmtep" page_type: "generic" crawled_at: "2026-09-23T13:41:46Z" content_changed_at: "2026-09-23T13:41:46Z" content_unchanged_days: 0 observed_days: 0 --- admin, Author at neos by Argon & Co Skip to content Building Smarter Supply Chains Author: admin Neos by Argon & Co Launches Rocket Mobile to pioneer AI in SAP logistics operations Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vestibulum vitae libero vel turpis tincidunt dictum. Argon & Co strengthens its end-to-end supply chain capability in the US Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vestibulum vitae libero vel turpis tincidunt dictum. Neos Strengthens APAC Presence with Strategic Partner Appointment in Singapore Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vestibulum vitae libero vel turpis tincidunt dictum. Neos by Argon & Co expands SAP remit with Pan Pac Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vestibulum vitae libero vel turpis tincidunt dictum. Selecting the Right Technology: A Best Fit Methodology Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vestibulum vitae libero vel turpis tincidunt dictum. Preparing for the Unpredictable: Enhancing Supply Chain Resilience in Today's World Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vestibulum vitae libero vel turpis tincidunt dictum. Promat 2025: Unveiling the Future of Supply Chain Innovation Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vestibulum vitae libero vel turpis tincidunt dictum. Turning Tariff Uncertainty into Strategic Advantage: Insights from our recent webinar Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vestibulum vitae libero vel turpis tincidunt dictum. From Survival to Success: How FMCG Businesses Can Thrive in 2025 Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vestibulum vitae libero vel turpis tincidunt dictum. Maximizing Value from Your WMS: A Health Check Approach Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vestibulum vitae libero vel turpis tincidunt dictum. Next -> Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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FMCG Inventory Optimisation Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vestibulum vitae libero vel turpis tincidunt dictum. Transport Route Planning: Work Smarter, Not Harder Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vestibulum vitae libero vel turpis tincidunt dictum. Seamless Mine Site M&A Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vestibulum vitae libero vel turpis tincidunt dictum. <- previous Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Diane Jordan, Author at neos by Argon & Co" source_url: "https://neosbyargonandco.com/author/neos_admin" page_path: "/author/neos_admin" page_type: "generic" crawled_at: "2026-09-23T13:41:49Z" content_changed_at: "2026-09-23T13:41:49Z" content_unchanged_days: 0 observed_days: 0 --- Diane Jordan, Author at neos by Argon & Co Skip to content Building Smarter Supply Chains Author: Diane Jordan When Local Optimization Creates Network Drift Why Supply Chain Visibility Is No Longer Enough Start With One Network, Build for the Enterprise Decision Intelligence: Connecting Strategy to Supply Chain Action Why the Supply Chain Must Operate as a Network of Networks What Intelligent Network Operations Actually Means Designing the Sense, Decide, Act and Learn Loop How AI Agents Should Work Within Network Operations The Technical Foundation for AI Across Supply Chain Networks Why Product Complexity Quietly Breaks Pharma Planning Next -> Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Julia Roberts, Author at neos by Argon & Co" source_url: "https://neosbyargonandco.com/author/neos_admin4" page_path: "/author/neos_admin4" page_type: "generic" crawled_at: "2026-09-23T13:41:53Z" content_changed_at: "2026-09-23T13:41:53Z" content_unchanged_days: 0 observed_days: 0 --- Julia Roberts, Author at neos by Argon & Co Skip to content Building Smarter Supply Chains Author: Julia Roberts Argon & Co Accelerates US Transformation Strategy with Neos Integration Steven Finkelstein Joins Neos by Argon & Co Gartner(R) Market Guide for Supply Chain Planning Solutions System Integrators Let's build a smarter, more resilient supply chain together. 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Diane Jordan, Author at neos by Argon & Co - Page 2 of 9" source_url: "https://neosbyargonandco.com/author/neos_admin/page/2" page_path: "/author/neos_admin/page/2" page_type: "generic" crawled_at: "2026-09-23T13:53:10Z" content_changed_at: "2026-09-23T13:53:10Z" content_unchanged_days: 0 observed_days: 0 --- Diane Jordan, Author at neos by Argon & Co - Page 2 of 9 Skip to content Building Smarter Supply Chains Author: Diane Jordan Decisive Beats Right: Rethinking Med Device Planning Why Fast Beats Perfect in Modern Supply Chains Neos by Argon & Co Earns Anaplan Solution Advisory Badge as US Capabilities Continue to Grow Your Supply Chain Should Run Like a Pit Crew - Here's Why The Hidden Competition for Chips: Five Lessons Every MedTech Executive Should Know From Automation to Autonomy What's the Difference Between S&OP and IBP - and Why It Matters Now Is Your Supply Chain Ready for Agentic AI? The Case for Concurrent Planning in Modern Business Why Mid-Sized Companies Struggle to Get IBP Off the Ground <- previous Next -> Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Agentic AI in Supply Chain: Accelerate Results Without Sacrificing Control Six Things to Consider When Evaluating Supply Chain Planning Software Chip Demand Is Outpacing Med Device. Here's What's at Stake. Transform Your Organization's Supply Chain with Scott Sheldon's Team of Experts Kinaxis Planning One is Right Sized for Your Mid-Sized Company Understanding Probabilistic Multi-Echelon Inventory Optimization (MEIO) Overcoming Excel Constraints: Embrace S&OP Software Solutions Thriving in Real-Time: How Growing Companies Shine in Demand Planning <- previous Next -> Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. 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Endless Firefighting. How to Build a Business Case for Advanced Supply Chain Planning From Reaction to Resilience: It's Time for Proactive Supply Chain Risk Management Data Is Your Supply Chain's Fuel - and AI Doesn't Run on Fumes What Mid-Market Supply Chains Need in a Planning Tool How AI Is Changing the Daily Work of Supply Chain Roles-One Task at a Time 5 Signs Your ERP Isn't Enough for Supply Chain Planning Anymore Advanced Planning Tool, ERP, or Spreadsheet? <- previous Next -> Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Diane Jordan, Author at neos by Argon & Co - Page 5 of 9" source_url: "https://neosbyargonandco.com/author/neos_admin/page/5" page_path: "/author/neos_admin/page/5" page_type: "generic" crawled_at: "2026-09-23T13:58:20Z" content_changed_at: "2026-09-23T13:58:20Z" content_unchanged_days: 0 observed_days: 0 --- Diane Jordan, Author at neos by Argon & Co - Page 5 of 9 Skip to content Building Smarter Supply Chains Author: Diane Jordan From Reactive to Proactive Planning in Medical Device Supply Chains Why Planning Systems Break in Complex Supply Chains Inventory Strategy in Medical Devices: It's Not How Much. It's Where. Crawl Before You Run: A Mid-Market Roadmap to Supply Chain Planning Success From Data Overload to Data Insight: Prioritizing What Matters in Supply Chain AI Netsuite Is Your System of Record - Here's How to Make It a System of Action Excel Was Never Built for Planning. The Complexity of Medical Device Supply Chains Proves It. Avoiding the Point Solution Trap: The Hidden Costs of Fixing One Piece at a Time Using Microsoft Dynamics 365 Business Central? From Disruption to Evolution: How AI Is Redefining Roles in the Supply Chain <- previous Next -> Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Diane Jordan, Author at neos by Argon & Co - Page 6 of 9" source_url: "https://neosbyargonandco.com/author/neos_admin/page/6" page_path: "/author/neos_admin/page/6" page_type: "generic" crawled_at: "2026-09-23T13:58:23Z" content_changed_at: "2026-09-23T13:58:23Z" content_unchanged_days: 0 observed_days: 0 --- Diane Jordan, Author at neos by Argon & Co - Page 6 of 9 Skip to content Building Smarter Supply Chains Author: Diane Jordan Why Mid-Sized Mining Companies Are Leading the Way in Supply Chain Innovation How to Build a More Resilient Mining Supply Chain Budgeting in the Dark: How Legacy Planning Systems Leave Finance Guessing From Pit to Port: Closing the Gaps in Mine-to-Market Planning Financial Blind Spots in Supply Chain Trade-Offs Remote Sites, Real-Time Decisions: Why Visibility Is Your Competitive Edge 3 Hidden Costs in Mining Supply Chains - and How to Fix Them Why Forecast Accuracy Still Fails in Mining - and How Finance Feels the Pain From Excel to Insight: The Skills Supply Chain Teams Will Need in the Age of AI Top Questions to Ask Before Choosing a Planning Solution <- previous Next -> Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Diane Jordan, Author at neos by Argon & Co - Page 7 of 9" source_url: "https://neosbyargonandco.com/author/neos_admin/page/7" page_path: "/author/neos_admin/page/7" page_type: "generic" crawled_at: "2026-09-23T13:58:27Z" content_changed_at: "2026-09-23T13:58:27Z" content_unchanged_days: 0 observed_days: 0 --- Diane Jordan, Author at neos by Argon & Co - Page 7 of 9 Skip to content Building Smarter Supply Chains Author: Diane Jordan Why Mid-Sized Companies Delay Planning Investments-And What It Costs Them Planning Is Not Just for Planners Reskill, Don't Replace: How to Prepare Your Supply Chain Team for the AI Era The 5-Year Outlook: How AI Will Reshape Supply Chain Roles (and When) Why Forecast Accuracy Alone Isn't the Measure of Planning Maturity What Planning Maturity Looks Like Across Demand, Supply, and Finance Why Monthly Planning Cycles No Longer Work When Excel Stops Working and Why That Moment Matters The Difference Between Planning Data and Planning Decisions Why Your Planning Problems Are a Maturity Issue, Not a People Problem <- previous Next -> Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Diane Jordan, Author at neos by Argon & Co - Page 8 of 9" source_url: "https://neosbyargonandco.com/author/neos_admin/page/8" page_path: "/author/neos_admin/page/8" page_type: "generic" crawled_at: "2026-09-23T13:58:31Z" content_changed_at: "2026-09-23T13:58:31Z" content_unchanged_days: 0 observed_days: 0 --- Diane Jordan, Author at neos by Argon & Co - Page 8 of 9 Skip to content Building Smarter Supply Chains Author: Diane Jordan AI Is Changing Planning. Where Do Humans Fit Now? You Have SAP IBP. So Why Are You Still Planning in Excel? Technology's Role in IBP - And Why Excel Won't Get You There The Crawl-Walk-Run Path to IBP for Mid-Sized Companies The Hidden Cost of Staying in the Same Planning Stage Too Long Planning as a Service: The Emerging Model for AI Driven Planning The Case for Replacing Legacy Planning Platforms in the AI Era AI Add Ons: When Extending Your Planning Platform Makes Sense The AI Planning Crossroads: Replace, Extend, or Rethink Your Platform? What Is Planning as a Service and Why AI Makes It More Advantageous <- previous Next -> Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Diane Jordan, Author at neos by Argon & Co - Page 9 of 9" source_url: "https://neosbyargonandco.com/author/neos_admin/page/9" page_path: "/author/neos_admin/page/9" page_type: "generic" crawled_at: "2026-09-23T13:58:34Z" content_changed_at: "2026-09-23T13:58:34Z" content_unchanged_days: 0 observed_days: 0 --- Diane Jordan, Author at neos by Argon & Co - Page 9 of 9 Skip to content Building Smarter Supply Chains Author: Diane Jordan AI in Supply Chain Planning: Real Intelligence or Just Better Algorithms? AI Buzzwords in Supply Chain Planning: What They Really Mean The Future of Planning: From Systems to Autonomous Decision Networks <- previous Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Avoiding the Point Solution Trap: The Hidden Costs of Fixing One Piece at a Time - neos by Argon & Co" source_url: "https://neosbyargonandco.com/avoiding-the-point-solution-trap-the-hidden-costs-of-fixing-one-piece-at-a-time" page_path: "/avoiding-the-point-solution-trap-the-hidden-costs-of-fixing-one-piece-at-a-time" page_type: "generic" crawled_at: "2026-09-23T13:41:56Z" content_changed_at: "2026-09-23T13:41:56Z" content_unchanged_days: 0 observed_days: 0 --- Avoiding the Point Solution Trap: The Hidden Costs of Fixing One Piece at a Time - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Avoiding the Point Solution Trap: The Hidden Costs of Fixing One Piece at a Time Diane Jordan April 9, 2026 Mid-market companies are often caught in a difficult bind: they don't have the budget for massive ERP systems, but they've clearly outgrown spreadsheets and disconnected legacy tools. The temptation? Buy a point solution every time a new problem pops up. Need better forecasting? Buy a forecasting tool. Struggling with supplier performance? Add a supplier portal. Inventory out of control? Purchase a standalone optimization tool. Each purchase feels like progress. But step back and the pattern becomes clear: you're solving symptoms, not the system. Over time, these tactical fixes create an even bigger strategic problem-a disjointed, high-maintenance ecosystem that undermines the very agility and visibility you were trying to achieve. How Mid-Market Companies Fall Into the Trap The point solution trap is rarely intentional. It usually starts with a legitimate need: "We can't trust our forecast." "We have no visibility into supplier delays." "Inventory is way too high-and still we have stockouts." Vendors offering narrowly focused tools promise a fast return. Your team is stretched thin. There's no time to rethink your architecture, and a "quick win" sounds great. But these tools rarely integrate well. They rely on their own data structures. They optimize one part of the supply chain-often at the expense of another. And they require custom interfaces, manual workarounds, or late-night Excel gymnastics to stitch everything together. This isn't digital transformation. It's digital patchwork. The Hidden (But Massive) Costs of Fragmentation Point solutions carry a price far beyond licensing fees. Here's what mid-market supply chains lose when planning becomes fragmented: Lost Speed - Decision-making slows down because teams don't trust the numbers across tools. That "quick" fix? It costs you hours every week in manual cross-checks. Lost Agility - By the time you've reconciled demand with capacity and materials, the situation has changed. You're reacting late, again. Lost Alignment - Sales is chasing one version of the truth. Procurement is working off another. Operations is left holding the bag when the plans collide. The downstream effects are measurable. According to McKinsey, companies that fail to digitally integrate their planning functions face up to 45% of EBITDA at risk over a decade due to avoidable supply chain shocks. Worse still, IT teams become gatekeepers and firefighters, constantly asked to create custom integrations or fix fragile interfaces. Why This Approach Can't Scale Mid-market companies with ambitious growth goals hit a ceiling fast. Point solutions weren't designed to scale together-they were designed to shine on their own. The more your business grows, the more fragile your planning process becomes: Every new product or location adds planning complexity Every merger or acquisition introduces another tech stack Every market disruption exposes the cracks in your planning foundation Soon, leadership can't get a straight answer to simple questions: Can we meet demand next quarter? What's the inventory impact of this promotion? Where are our biggest risks right now? The Shift from Point Fixes to Platform Thinking Mid-market companies don't need more tools-they need the right structure . That means: A single data model that unites demand, supply, inventory, and financials Real-time visibility that eliminates latency and misalignment Scenario planning capabilities that allow fast, confident decisions A scalable architecture that grows with the business This isn't a call for bloated enterprise software. It's about right-sizing planning -adopting solutions that provide end-to-end capability without overengineering. It's about future-proofing your operations with a platform mindset, not a patchwork mentality. Planning as the Engine, Not the Afterthought In mid-market firms, planning is often seen as a back-office function-something to upgrade when there's time. But in today's volatile environment, planning is the engine of your competitive edge . The companies that are winning in this space: Integrate planning into the core of business strategy Use real-time insights to drive cross-functional collaboration Build planning systems that connect people, data, and decisions They don't "fix" their planning. They invest in it . What's Your Plan for Planning? It's easy to justify one more point solution. But over time, those short-term wins can lead to long-term complexity, silos, and cost. At Scott Sheldon, we work with mid-market companies to design and implement connected planning environments that scale without bloat. We help you see the big picture and build toward it-so your next solution doesn't fix a symptom, it strengthens your foundation. If you're spending more time fixing planning tools than planning your business, it's time to talk. Sources: McKinsey, Risk, Resilience, and Rebalancing in Global Supply Chains Gartner, 2023 Market Guide for Supply Chain Planning Solutions Supply Chain Quarterly, The Cost of Fragmented Planning, 2023 Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Beyond AI Pilots: Rethinking the Supply Chain Operating Model for an AI-Enabled World - neos by Argon & Co" source_url: "https://neosbyargonandco.com/beyond-ai-pilots-rethinking-the-supply-chain-operating-model-for-an-ai-enabled-world" page_path: "/beyond-ai-pilots-rethinking-the-supply-chain-operating-model-for-an-ai-enabled-world" page_type: "generic" crawled_at: "2026-09-23T13:42:00Z" content_changed_at: "2026-09-23T13:42:00Z" content_unchanged_days: 0 observed_days: 0 --- Beyond AI Pilots: Rethinking the Supply Chain Operating Model for an AI-Enabled World - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Beyond AI Pilots: Rethinking the Supply Chain Operating Model for an AI-Enabled World As AI capabilities accelerate, the organizations that benefit most will be those that rethink how their supply chains operate Diane Jordan July 23, 2026 Every meaningful technological shift follows two remarkably different timelines. The first is easy to recognize because it dominates headlines. New capabilities emerge, investment accelerates, software providers race to incorporate new functionality into their platforms, and organizations begin experimenting with what suddenly appears possible. Progress feels rapid, almost relentless. Each month introduces another announcement that suggests the future has arrived sooner than expected. The second timeline is far quieter. It unfolds inside organizations rather than technology companies. Processes evolve. Responsibilities shift. New habits gradually replace old ones. Leaders reconsider how decisions should be made, what information matters most and how work flows across functions. Unlike advances in technology, these changes rarely happen quickly. They emerge through experimentation, adjustment and experience, often over many years. History suggests that the second timeline is ultimately the one that matters most. The technologies that reshape industries rarely create lasting value simply because they exist. They become transformative only after organizations discover new ways to work because of them. That distinction has repeated itself often enough to become almost predictable. Enterprise Resource Planning (ERP) systems dramatically improved access to information, but organizations spent years learning how to integrate planning, finance and operations around that information. Transportation Management Systems (TMS) introduced increasingly sophisticated optimization capabilities long before logistics organizations trusted automated recommendations as part of everyday decision making. Warehouse Management Systems (WMS) expanded visibility across distribution networks, yet the greatest operational improvements often followed years later, after companies redesigned labor models, management practices and operational processes to reflect what the technology made possible. Technology changed first. Organizations changed later. Artificial intelligence (AI) appears to be following a remarkably similar path. Over the past two years, AI has become nearly impossible to avoid in conversations about supply chain management. Executive meetings routinely include discussions about generative AI. Industry conferences devote entire agendas to emerging use cases. Technology vendors increasingly present AI as a foundational capability rather than a future enhancement. Even organizations that have approached adoption cautiously have begun identifying opportunities to experiment with the technology, recognizing that ignoring it entirely is no longer a realistic option. For all of this attention, however, the reality inside most supply chain organizations remains surprisingly practical. Few executives are attempting to reinvent their operations around artificial intelligence. Instead, they are looking for opportunities to remove friction from existing work. Planning teams are using AI to accelerate scenario analysis and prepare routine summaries. Procurement professionals are experimenting with tools that consolidate supplier information, review contracts and monitor emerging risks. Customer service organizations are reducing administrative effort by generating draft responses and organizing information more efficiently. Transportation teams are exploring how AI can investigate disruptions, summarize operational events and support planners as they respond to changing conditions throughout the network. Viewed independently, none of these initiatives appear revolutionary. Each addresses a specific activity that has traditionally required significant manual effort. Yet collectively they reveal something more significant. Artificial intelligence is quietly becoming another participant in knowledge work. It is beginning to assist with gathering information, organizing data, drafting communications, identifying patterns and preparing analyses across nearly every function of the supply chain. That progression feels meaningful precisely because it is so ordinary. The current generation of AI is not transforming organizations through dramatic moments of automation. Instead, it is entering everyday work almost imperceptibly, reducing the time required to complete activities that have historically occupied a substantial portion of the workday. Each improvement may appear incremental in isolation, but together they begin to change how information moves through an organization and how quickly decisions can be supported. Yet despite these advances, remarkably little has changed about the way most supply chain organizations are structured. Planning departments continue to operate within familiar planning cycles. Procurement teams still manage supplier relationships through established governance processes. Transportation organizations continue to coordinate execution across carriers, distribution centers and customers much as they have for years. Organizational charts remain largely intact. Decision rights have not fundamentally shifted. Most companies continue to measure performance using the same operating rhythms that existed before AI became part of the conversation. This apparent contradiction is worth considering. On one hand, AI capabilities continue to improve at an extraordinary pace. On the other, the organizations adopting those capabilities appear to be changing much more slowly. It would be easy to interpret that gap as hesitation or resistance, but history suggests something different. Organizations are not simply collections of technology. They are collections of people, incentives, governance structures and accumulated experience. Altering how those elements interact has always proven more complex than introducing new software. Perhaps that is why discussions about artificial intelligence often feel simultaneously urgent and incomplete. Much of the conversation naturally focuses on the technology itself. Which models are improving most rapidly? Which vendors offer the strongest capabilities? Which functions should organizations prioritize first? These are important questions, particularly for leaders seeking practical ways to introduce AI into existing operations. They are also the kinds of questions that accompany almost every significant wave of technological innovation. Less attention, however, has been devoted to a different aspect of the transition-one that may ultimately prove more consequential than any individual use case. As AI becomes increasingly capable of supporting everyday work, how do organizations themselves begin to evolve? A recent framework published by OpenAI offers an interesting perspective on this broader challenge. Rather than evaluating occupations solely through the lens of technical capability, the framework also considers factors such as human necessity, demand elasticity and the realities of organizational adoption. The result is a more measured view of how work is likely to change over time, acknowledging that the existence of technological capability does not automatically translate into immediate organizational transformation. That observation extends well beyond artificial intelligence. Organizations have always adopted technology selectively. Some innovations are embraced immediately because they solve obvious problems without disrupting established ways of working. Others require companies to reconsider deeply embedded assumptions about roles, responsibilities and decision making before meaningful value can be realized. In those cases, progress depends less on the maturity of the technology than on the willingness of leaders to redesign the organization around new possibilities. Supply chains have experienced this pattern repeatedly over the past several decades. Visibility improved before collaboration matured. Optimization became possible before organizations consistently trusted optimization engines to influence operational decisions. Digital platforms connected information long before cross-functional decision making became commonplace. Each wave of technology created new capabilities, but the organizations that realized the greatest competitive advantage were rarely those that implemented software first. They were the ones that gradually learned how to operate differently because the technology existed. Artificial intelligence appears poised to test that same organizational capability once again. Its greatest contribution may not be found in any individual productivity improvement, impressive though many of those improvements are becoming. Instead, its longer-term significance may lie in the way it steadily reshapes expectations about how work should be organized, how decisions should be supported and how people contribute inside increasingly intelligent operating environments. That possibility is still emerging, and predicting exactly where it leads would be premature. But it does suggest that the most interesting part of the AI conversation may no longer be the technology itself. It may be the gradual evolution of the organizations learning to work alongside it. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Beyond Supply Chain Visibility: From Alerts to Action" source_url: "https://neosbyargonandco.com/beyond-supply-chain-visibility-alerts-to-action" page_path: "/beyond-supply-chain-visibility-alerts-to-action" page_type: "generic" crawled_at: "2026-09-23T13:42:04Z" content_changed_at: "2026-09-23T13:42:04Z" content_unchanged_days: 0 observed_days: 0 --- Beyond Supply Chain Visibility: From Alerts to Action Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Why Supply Chain Visibility Is No Longer Enough The next frontier is not seeing more events. It is understanding which events matter, which decisions they affect and how the network should respond. Diane Jordan September 10, 2026 The limits of a visibility-first model Supply chain visibility has improved markedly. Organizations can track orders, inventory, shipments, production status and supplier events with a level of detail that was once impractical. Control towers and event-management platforms have made exceptions easier to identify and distribute. Yet many operations teams remain overwhelmed. They see more, but they do not necessarily understand faster or respond more coherently. The difficulty is not a lack of signals. It is the distance between a signal and the decision it should influence. A late inbound shipment may affect a production schedule, a customer order, inventory allocation and transportation capacity. Most systems can report the delay. Far fewer can determine which consequences are material, reconcile the objectives of the affected functions and direct the issue to the appropriate decision path. Visibility therefore risks becoming an increasingly sophisticated description of the network. Dashboards multiply, alerts become more precise and users gain access to additional data, while the essential work of interpretation still depends on people assembling context across systems and organizational boundaries. The result is often alert fatigue, manual coordination and inconsistent responses to similar conditions. From events to operational meaning Intelligent Network Operations begins by treating an event as a change in decision context, not merely a status update. The system must understand the entities involved, their relationships and the commitments they support. It must know, for example, which materials are required by which production orders, which customer demand those orders serve and what alternatives are feasible within current capacity and policy constraints. This understanding requires more than a single analytical technique. Streaming and event technologies detect changes. A semantic layer connects common entities across ERP, APS, MES, WMS and TMS. Optimization and simulation evaluate alternatives. Artificial intelligence can interpret unstructured information, recognize patterns across signals and assemble relevant context. Decision logic then determines whether the condition requires monitoring, analysis, escalation or action. The technical objective is not to create one universal model of every supply chain detail. It is to provide sufficient shared context for consequential decisions. Specialized systems remain authoritative within their domains. The intelligence layer consults those systems and makes their signals usable across the network. This shift also changes how operational performance is measured. Traditional metrics emphasize whether a function completed its own work efficiently. A decision-oriented network also considers how quickly a material signal was understood, whether the right functions were engaged and whether the response improved the enterprise outcome. Those measures reveal coordination delays that ordinary service and cost dashboards may leave hidden. They also make the value of better interpretation visible to operational leaders. Create a decision-oriented response A decision-oriented approach changes the role of alerts. Instead of notifying a user that a threshold has been crossed, the system can identify the decisions placed at risk, estimate the time available to respond and present the evidence needed to act. A production constraint might trigger an evaluation of alternate plants, inventory positions and customer priorities before it becomes a service failure. Not every response should be automated. Some conditions can be handled through approved rules, such as rescheduling a low-risk task within a defined boundary. Others require human judgment because they involve customer commitments, financial tradeoffs or strategic risk. Intelligent Network Operations makes that boundary explicit and routes the decision accordingly. The business impact extends beyond faster reaction. When the enterprise can interpret events in shared context, it can reduce redundant analysis, coordinate action across functions and learn which responses produce the intended outcome. Visibility remains essential, but it becomes an input rather than the destination. The more valuable capability is a network that can continuously sense change, determine what the change means and organize an appropriate response. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Blogs - neos by Argon & Co" source_url: "https://neosbyargonandco.com/blog" page_path: "/blog" page_type: "generic" crawled_at: "2026-09-23T13:55:14Z" content_changed_at: "2026-09-23T13:55:14Z" content_unchanged_days: 0 observed_days: 0 --- Blogs - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co Blogs / Publications Insights from the people delivering supply chain change. Filter By: AI Inventory News Operations Partnership Supply Chain Technology Transportation US All ARTIFICIAL-INTELLIGENCE September 17, 2026 When Local Optimization Creates Network Drift Why individually sound decisions can gradually move the supply chain away from the outcomes the enterprise needs. ARGON & CO M&As September 16, 2026 Argon & Co Accelerates US Transformation Strategy with Neos Integration We are pleased to announce that Scott Sheldon, a leading supply chain consulting firm, has completed its full integration into neos by Argon & Co, unifying its team, legacy expertise, and technology capabilities under a single global brand. ARTIFICIAL-INTELLIGENCE September 10, 2026 Why Supply Chain Visibility Is No Longer Enough The next frontier is not seeing more events. It is understanding which events matter, which decisions they affect and how the network should respond. ARTIFICIAL-INTELLIGENCE September 8, 2026 Start With One Network, Build for the Enterprise A focused implementation can create early value while establishing the context, services and governance required for Intelligent Network Operations at scale. ARTIFICIAL-INTELLIGENCE September 8, 2026 Decision Intelligence: Connecting Strategy to Supply Chain Action How organizations can preserve strategic intent as decisions move from executive priorities into planning and execution. ARTIFICIAL-INTELLIGENCE September 8, 2026 Why the Supply Chain Must Operate as a Network of Networks How specialized operating networks can retain their depth while sharing the context required for better enterprise decisions. ARTIFICIAL-INTELLIGENCE September 8, 2026 What Intelligent Network Operations Actually Means How shared context, specialized systems and governed AI turn supply chain signals into coordinated decisions and action. ARTIFICIAL-INTELLIGENCE September 8, 2026 Designing the Sense, Decide, Act and Learn Loop Intelligent Network Operations depends on a closed loop that connects operational signals to decisions, actions and measurable outcomes. ARTIFICIAL-INTELLIGENCE September 8, 2026 How AI Agents Should Work Within Network Operations Agents create value when they are given a defined operational responsibility, explicit decision boundaries and access to shared enterprise context. ARTIFICIAL-INTELLIGENCE September 8, 2026 The Technical Foundation for AI Across Supply Chain Networks AI can connect decisions across the supply chain only when the enterprise provides governed meaning, reliable relationships and clear system boundaries. Pharmaceutical September 8, 2026 Why Product Complexity Quietly Breaks Pharma Planning The hardest planning problems are often created not by scale, but by the relationships hidden beneath every product. Medical Device September 3, 2026 Decisive Beats Right: Rethinking Med Device Planning VIEW MORE Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Blogs - neos by Argon & Co" source_url: "https://neosbyargonandco.com/blogs" page_path: "/blogs" page_type: "generic" crawled_at: "2026-09-23T13:42:07Z" content_changed_at: "2026-09-23T13:42:07Z" content_unchanged_days: 0 observed_days: 0 --- Blogs - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co Blogs / Publications Insights from the people delivering supply chain change. Filter By: AI Inventory News Operations Partnership Supply Chain Technology Transportation US All ARTIFICIAL-INTELLIGENCE September 17, 2026 When Local Optimization Creates Network Drift Why individually sound decisions can gradually move the supply chain away from the outcomes the enterprise needs. ARGON & CO M&As September 16, 2026 Argon & Co Accelerates US Transformation Strategy with Neos Integration We are pleased to announce that Scott Sheldon, a leading supply chain consulting firm, has completed its full integration into neos by Argon & Co, unifying its team, legacy expertise, and technology capabilities under a single global brand. ARTIFICIAL-INTELLIGENCE September 10, 2026 Why Supply Chain Visibility Is No Longer Enough The next frontier is not seeing more events. It is understanding which events matter, which decisions they affect and how the network should respond. ARTIFICIAL-INTELLIGENCE September 8, 2026 Start With One Network, Build for the Enterprise A focused implementation can create early value while establishing the context, services and governance required for Intelligent Network Operations at scale. ARTIFICIAL-INTELLIGENCE September 8, 2026 Decision Intelligence: Connecting Strategy to Supply Chain Action How organizations can preserve strategic intent as decisions move from executive priorities into planning and execution. ARTIFICIAL-INTELLIGENCE September 8, 2026 Why the Supply Chain Must Operate as a Network of Networks How specialized operating networks can retain their depth while sharing the context required for better enterprise decisions. ARTIFICIAL-INTELLIGENCE September 8, 2026 What Intelligent Network Operations Actually Means How shared context, specialized systems and governed AI turn supply chain signals into coordinated decisions and action. ARTIFICIAL-INTELLIGENCE September 8, 2026 Designing the Sense, Decide, Act and Learn Loop Intelligent Network Operations depends on a closed loop that connects operational signals to decisions, actions and measurable outcomes. ARTIFICIAL-INTELLIGENCE September 8, 2026 How AI Agents Should Work Within Network Operations Agents create value when they are given a defined operational responsibility, explicit decision boundaries and access to shared enterprise context. ARTIFICIAL-INTELLIGENCE September 8, 2026 The Technical Foundation for AI Across Supply Chain Networks AI can connect decisions across the supply chain only when the enterprise provides governed meaning, reliable relationships and clear system boundaries. Pharmaceutical September 8, 2026 Why Product Complexity Quietly Breaks Pharma Planning The hardest planning problems are often created not by scale, but by the relationships hidden beneath every product. Medical Device September 3, 2026 Decisive Beats Right: Rethinking Med Device Planning VIEW MORE Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Budgeting in the Dark: How Legacy Planning Systems Leave Finance Guessing" source_url: "https://neosbyargonandco.com/budgeting-in-the-dark-how-legacy-planning-systems-leave-finance-guessing" page_path: "/budgeting-in-the-dark-how-legacy-planning-systems-leave-finance-guessing" page_type: "generic" crawled_at: "2026-09-23T13:42:11Z" content_changed_at: "2026-09-23T13:42:11Z" content_unchanged_days: 0 observed_days: 0 --- Budgeting in the Dark: How Legacy Planning Systems Leave Finance Guessing Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Budgeting in the Dark: How Legacy Planning Systems Leave Finance Guessing Why finance needs real-time supply chain insight - and what happens when it's missing. Diane Jordan March 10, 2026 Mining CFOs and finance leaders are no strangers to uncertainty - volatile prices, long project timelines, and complex cost structures come with the territory. But when it's time to set the annual budget or forecast working capital, too many finance teams are still working blind . Despite decades of ERP investments and BI dashboards, the most critical inputs to budgeting - demand shifts, supply constraints, inventory positions, transport schedules - are often outdated, disconnected, or buried in spreadsheets on someone's desktop. Why Budgeting Still Breaks Down In most mining organizations, Finance must build models based on: Delayed or incomplete updates from remote operations Static planning assumptions disconnected from execution Manual inputs from siloed teams (procurement, production, logistics) The result? A budget that might be well-structured - but poorly grounded in operational reality . Impact: This disconnect leads to overestimated cash flow , underestimated cost exposure , and constant reforecasting to catch up with what's really happening. The Hidden Cost of Reactive Budgeting When finance plans in isolation from operations, it leads to: Inaccurate working capital forecasts Inventory spikes or shortfalls hit the balance sheet unexpectedly. Underestimated logistics and maintenance costs Unbudgeted expedite fees, contract premiums, or emergency purchases go unaccounted for. Poor capital allocation Funds get tied up in slow-moving stock or overbuilt capacity - while critical assets are underfunded. Stat: According to EY, 68% of mining finance leaders say their biggest budgeting challenge is aligning with real-time operational shifts. What Modern Finance Teams Are Doing Differently To move beyond "budgeting in the dark," finance teams are embedding themselves into the planning process - not just observing it from afar. Here's what that looks like: 1. Rolling Forecast Integration Annual budgets are anchored in real-time operational data, with rolling updates as conditions change - not static assumptions. 2. Live Inventory and Logistics Visibility Finance has access to real-time stock positions, transit data, and capacity constraints - so supply chain shifts are reflected in cash flow and P&L. 3. Collaboration-Driven Planning Instead of waiting for inputs, Finance collaborates with supply chain, procurement, and operations to build shared forecasts with agreed assumptions. Real-World Example: Connecting Budget to Reality One mining organization managing multi-site operations across North America replaced its annual budget process with a monthly rolling forecast that pulled live data from production and logistics systems. Within two quarters, they: Reduced forecast error in logistics costs by 18% Improved cash flow predictability by $12M Identified $4M in low-turn inventory they could repurpose or sell The change wasn't just about software - it was about integrating Finance into the heartbeat of the business. Conclusion: Budgeting Without Visibility Isn't Planning - It's Hoping You can't manage capital, margins, or risk when the numbers you're using are stale. As mining operations become more dynamic and supply chains more variable, finance must lead the charge toward connected, real-time planning. That means ditching the legacy mindset of annual cycles and siloed spreadsheets - and embracing a model where Finance is plugged in, proactive, and empowered to guide decisions. Because in mining, if your numbers aren't real-time - they're already wrong. Citations & Sources EY - Why Finance Needs Real-Time Supply Chain Insight in Mining Gartner - The Shift to Rolling Forecasts and Integrated Planning Deloitte - Finance Transformation in Asset-Heavy Industries Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Filter Tag 2 Archives - neos by Argon & Co" source_url: "https://neosbyargonandco.com/case-category/filter-tag-2" page_path: "/case-category/filter-tag-2" page_type: "generic" crawled_at: "2026-09-23T13:42:18Z" content_changed_at: "2026-09-23T13:42:18Z" content_unchanged_days: 0 observed_days: 0 --- Filter Tag 2 Archives - neos by Argon & Co Skip to content Building Smarter Supply Chains Category: Filter Tag 2 Global Design Optimization for Rubbermaid Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Filter Tag 3 Archives - neos by Argon & Co" source_url: "https://neosbyargonandco.com/case-category/filter-tag-3" page_path: "/case-category/filter-tag-3" page_type: "generic" crawled_at: "2026-09-23T13:42:22Z" content_changed_at: "2026-09-23T13:42:22Z" content_unchanged_days: 0 observed_days: 0 --- Filter Tag 3 Archives - neos by Argon & Co Skip to content Building Smarter Supply Chains Category: Filter Tag 3 Kinaxis Implementation for Apex Tools Group Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Filter By: Filter Tag Filter Tag 2 Filter Tag 3 All Case Study Kinaxis Implementation for Apex Tools Group Case Study Global Design Optimization for Rubbermaid Case Study Strategic Healthcare Distribution Network Solutions for Owens & Minor Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Global Design Optimization for Rubbermaid - neos by Argon & Co" source_url: "https://neosbyargonandco.com/cases/global-design-optimization-for-rubbermaid" page_path: "/cases/global-design-optimization-for-rubbermaid" page_type: "generic" crawled_at: "2026-09-23T13:42:29Z" content_changed_at: "2026-09-23T13:42:29Z" content_unchanged_days: 0 observed_days: 0 --- Global Design Optimization for Rubbermaid - neos by Argon & Co Skip to content Building Smarter Supply Chains 0 Minute read Global Design Optimization for Rubbermaid Rubbermaid is an American manufacturer and distributor of home and food storage products. Rubbermaid is an American manufacturer and distributor of home and food storage products. While the company is best known for producing food storage containers, it also produces trash cans, sheds, step stools, closets and shelving, laundry baskets and other household items. Rubbermaid maintains a large network of distributors, dealers and resellers across the US and Canada. Section title Client Logo of Client Location Serviced Location (s) Served Employees 00,000+ Employees Services Provided Service name Service name Service name Service name Service name Service name Service name Key Result Statistic / Data Metric 00.00 Faucibus orci luctus et ultrices posuere cubilia curae; Morbi lacinia molestie dui, praesent blandit dolor sed non quam in vel mi sit amet augue congue. Key Result Statistic / Data Metric 00.00 Faucibus orci luctus et ultrices posuere cubilia curae; Morbi lacinia molestie dui, praesent blandit dolor sed non quam in vel mi sit amet augue congue. Key Result Statistic / Data Metric 00.00 Faucibus orci luctus et ultrices posuere cubilia curae; Morbi lacinia molestie dui, praesent blandit dolor sed non quam in vel mi sit amet augue congue. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Kinaxis Implementation for Apex Tools Group - neos by Argon & Co" source_url: "https://neosbyargonandco.com/cases/kinaxis-implementation-for-apex-tools-group" page_path: "/cases/kinaxis-implementation-for-apex-tools-group" page_type: "generic" crawled_at: "2026-09-23T13:42:33Z" content_changed_at: "2026-09-23T13:42:33Z" content_unchanged_days: 0 observed_days: 0 --- Kinaxis Implementation for Apex Tools Group - neos by Argon & Co Skip to content Building Smarter Supply Chains 0 Minute read Kinaxis Implementation for Apex Tools Group Apex Tool Group is a global manufacturer and distributor of tools, representing six major brands worldwide. Apex Tool Group is a global manufacturer and distributor of tools, representing six major brands worldwide. Facing challenges with outdated planning software that supported demand planning but lacked integrated supply planning, Apex relied heavily on manual processes and Excel to manage their supply chain. Section title Client Logo of Client Location Serviced Location (s) Served Employees 00,000+ Employees Services Provided Service name Service name Service name Service name Service name Service name Service name Key Result Statistic / Data Metric 00.00 Faucibus orci luctus et ultrices posuere cubilia curae; Morbi lacinia molestie dui, praesent blandit dolor sed non quam in vel mi sit amet augue congue. Key Result Statistic / Data Metric 00.00 Faucibus orci luctus et ultrices posuere cubilia curae; Morbi lacinia molestie dui, praesent blandit dolor sed non quam in vel mi sit amet augue congue. Key Result Statistic / Data Metric 00.00 Faucibus orci luctus et ultrices posuere cubilia curae; Morbi lacinia molestie dui, praesent blandit dolor sed non quam in vel mi sit amet augue congue. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Strategic Healthcare Distribution Network Solutions for Owens & Minor - neos by Argon & Co" source_url: "https://neosbyargonandco.com/cases/strategic-healthcare-distribution-network-solutions-for-owens-minor" page_path: "/cases/strategic-healthcare-distribution-network-solutions-for-owens-minor" page_type: "generic" crawled_at: "2026-09-23T13:42:36Z" content_changed_at: "2026-09-23T13:42:36Z" content_unchanged_days: 0 observed_days: 0 --- Strategic Healthcare Distribution Network Solutions for Owens & Minor - neos by Argon & Co Skip to content Building Smarter Supply Chains 0 Minute read Strategic Healthcare Distribution Network Solutions for Owens & Minor Owens & Minor provides global healthcare solutions. Owens & Minor provides global healthcare solutions. The company designs, manufactures and sources clinically superior products that empower customers to advance healthcare. Owens & Minor is responsible for ensuring that facilities and providers have what they need when they need it, making the success of their supply chain critical to patient care. Section title Client Logo of Client Location Serviced Location (s) Served Employees 00,000+ Employees Services Provided Service name Service name Service name Service name Service name Service name Service name Key Result Statistic / Data Metric 00.00 Faucibus orci luctus et ultrices posuere cubilia curae; Morbi lacinia molestie dui, praesent blandit dolor sed non quam in vel mi sit amet augue congue. Key Result Statistic / Data Metric 00.00 Faucibus orci luctus et ultrices posuere cubilia curae; Morbi lacinia molestie dui, praesent blandit dolor sed non quam in vel mi sit amet augue congue. 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Supply Chain Archives - neos by Argon & Co" source_url: "https://neosbyargonandco.com/category/supply-chain" page_path: "/category/supply-chain" page_type: "generic" crawled_at: "2026-09-23T13:43:00Z" content_changed_at: "2026-09-23T13:43:00Z" content_unchanged_days: 0 observed_days: 0 --- Supply Chain Archives - neos by Argon & Co Skip to content Building Smarter Supply Chains Category: Supply Chain Why Product Complexity Quietly Breaks Pharma Planning Decisive Beats Right: Rethinking Med Device Planning Your Supply Chain Should Run Like a Pit Crew - Here's Why The Hidden Competition for Chips: Five Lessons Every MedTech Executive Should Know What's the Difference Between S&OP and IBP - and Why It Matters Now Why Mid-Sized Companies Struggle to Get IBP Off the Ground Do You Really Need IBP-Or Just Better S&OP? Chip Demand Is Outpacing Med Device. Here's What's at Stake. Multiple ERPs. One Supply Chain. Endless Firefighting. How to Build a Business Case for Advanced Supply Chain Planning Next -> Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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It's Where. Excel Was Never Built for Planning. The Complexity of Medical Device Supply Chains Proves It. Why Mid-Sized Companies Delay Planning Investments-And What It Costs Them Planning Is Not Just for Planners Why Forecast Accuracy Alone Isn't the Measure of Planning Maturity What Planning Maturity Looks Like Across Demand, Supply, and Finance <- previous Next -> Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Where Do Humans Fit Now? The Crawl-Walk-Run Path to IBP for Mid-Sized Companies The Hidden Cost of Staying in the Same Planning Stage Too Long Planning as a Service: The Emerging Model for AI Driven Planning What Is Planning as a Service and Why AI Makes It More Advantageous AI in Supply Chain Planning: Real Intelligence or Just Better Algorithms? AI Buzzwords in Supply Chain Planning: What They Really Mean <- previous Next -> Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. 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Vestibulum vitae libero vel turpis tincidunt dictum. Promat 2025: Unveiling the Future of Supply Chain Innovation Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vestibulum vitae libero vel turpis tincidunt dictum. Turning Tariff Uncertainty into Strategic Advantage: Insights from our recent webinar Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vestibulum vitae libero vel turpis tincidunt dictum. The Future of Supply Chain Planning Series: Part 2 Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vestibulum vitae libero vel turpis tincidunt dictum. <- previous Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. 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Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Technology Archives - Page 2 of 4 - neos by Argon & Co" source_url: "https://neosbyargonandco.com/category/technology/page/2" page_path: "/category/technology/page/2" page_type: "generic" crawled_at: "2026-09-23T13:53:34Z" content_changed_at: "2026-09-23T13:53:34Z" content_unchanged_days: 0 observed_days: 0 --- Technology Archives - Page 2 of 4 - neos by Argon & Co Skip to content Building Smarter Supply Chains Category: Technology 5 Signs Your ERP Isn't Enough for Supply Chain Planning Anymore Advanced Planning Tool, ERP, or Spreadsheet? Crawl Before You Run: A Mid-Market Roadmap to Supply Chain Planning Success From Data Overload to Data Insight: Prioritizing What Matters in Supply Chain AI Netsuite Is Your System of Record - Here's How to Make It a System of Action Avoiding the Point Solution Trap: The Hidden Costs of Fixing One Piece at a Time Using Microsoft Dynamics 365 Business Central? From Disruption to Evolution: How AI Is Redefining Roles in the Supply Chain Why Mid-Sized Mining Companies Are Leading the Way in Supply Chain Innovation How to Build a More Resilient Mining Supply Chain <- previous Next -> Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. 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Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Technology Archives - Page 4 of 4 - neos by Argon & Co" source_url: "https://neosbyargonandco.com/category/technology/page/4" page_path: "/category/technology/page/4" page_type: "generic" crawled_at: "2026-09-23T13:58:16Z" content_changed_at: "2026-09-23T13:58:16Z" content_unchanged_days: 0 observed_days: 0 --- Technology Archives - Page 4 of 4 - neos by Argon & Co Skip to content Building Smarter Supply Chains Category: Technology When Excel Stops Working and Why That Moment Matters You Have SAP IBP. So Why Are You Still Planning in Excel? Technology's Role in IBP - And Why Excel Won't Get You There Selecting the Right Technology: A Best Fit Methodology Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vestibulum vitae libero vel turpis tincidunt dictum. The Case for Replacing Legacy Planning Platforms in the AI Era AI Add Ons: When Extending Your Planning Platform Makes Sense The AI Planning Crossroads: Replace, Extend, or Rethink Your Platform? <- previous Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "US Archives - neos by Argon & Co" source_url: "https://neosbyargonandco.com/category/us" page_path: "/category/us" page_type: "generic" crawled_at: "2026-09-23T13:43:11Z" content_changed_at: "2026-09-23T13:43:11Z" content_unchanged_days: 0 observed_days: 0 --- US Archives - neos by Argon & Co Skip to content Building Smarter Supply Chains Category: US Argon & Co Accelerates US Transformation Strategy with Neos Integration Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Chip Demand Is Outpacing Med Device. Here's What's at Stake. - neos by Argon & Co" source_url: "https://neosbyargonandco.com/chip-demand-is-outpacing-med-device-heres-whats-at-stake" page_path: "/chip-demand-is-outpacing-med-device-heres-whats-at-stake" page_type: "generic" crawled_at: "2026-09-23T13:43:15Z" content_changed_at: "2026-09-23T13:43:15Z" content_unchanged_days: 0 observed_days: 0 --- Chip Demand Is Outpacing Med Device. Here's What's at Stake. - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Chip Demand Is Outpacing Med Device. Here's What's at Stake. Diane Jordan August 3, 2026 For years, medical device supply chains operated with a level of stability that many other industries envied. Demand patterns were relatively steady, supplier relationships were long standing, and while planning was never simple, it was at least predictable. Organizations built processes around that predictability, relying on the idea that strong forecasts, disciplined planning, and trusted supplier partnerships would ensure supply continuity. That foundation is now shifting in a meaningful way. What many are experiencing today is not simply another period of disruption or a temporary imbalance between supply and demand. It is a deeper structural change in how supply is prioritized and allocated across industries, and in that change, medical device companies are no longer operating within the same competitive boundaries they once were. The most important realization is this: your competition for supply is no longer limited to your industry. In fact, in many cases, it has very little to do with it. A Different Kind of Competition As demand for semiconductors and other constrained components has accelerated, industries such as automotive, consumer electronics, and large scale computing infrastructure have fundamentally changed the dynamics of supply. These organizations are not just buying more; they are buying differently. They are committing to larger volumes, making decisions faster, and locking in supply further in advance, often shaping supplier capacity through the scale and certainty of their demand. From a supplier's perspective, this creates a clear hierarchy. When demand exceeds available supply, priority naturally shifts toward customers who reduce uncertainty and maximize utilization. Larger commitments, faster decisions, and longer-term agreements provide exactly that. The outcome is not driven by industry importance or historical relationships, but by the economic and operational signals that customers send. Medical device companies, by contrast, often operate within constraints that limit their ability to respond in the same way. Regulatory requirements extend timelines, product validation processes reduce flexibility, and internal decision-making can require broader alignment due to the risk associated with change. None of these are flaws; they are necessary aspects of operating in a highly regulated environment. However, when placed alongside industries that can move faster and commit earlier, they create a relative disadvantage in securing constrained supply. The Erosion of Historical Advantages For a long time, medical device organizations benefited from a set of structural advantages that reinforced supply stability. Predictable demand made planning more reliable. Deep supplier relationships created a sense of continuity. Quality and compliance requirements added a layer of stickiness that made those relationships difficult to displace. Those advantages have not disappeared, but they are being diluted. In a constrained supply environment, suppliers are optimizing for throughput, predictability, and scale. While long term relationships still matter, they are increasingly balanced against the opportunity to secure larger and more immediate commitments from other industries. The decision is less about loyalty and more about certainty. At the same time, the internal structures that support quality and compliance can slow responsiveness in very real ways. When a component becomes constrained, the path to substitution is rarely straightforward. A change may trigger a 510(k) supplement, require new biocompatibility testing, or introduce additional EMC validation work. Even when a technically viable alternative exists, the regulatory and validation effort can extend timelines significantly. Commercial structures add another layer. Many medical device companies operate within GPO agreements that lock in pricing and volumes, limiting flexibility to shift sourcing strategies or pass through increased costs. These constraints are manageable in stable conditions, but in a contested supply environment, they reduce the ability to respond quickly when supply dynamics change. Individually, each of these factors is necessary and justified. Together, they create friction at the exact moment when speed and flexibility matter most. On the contrary, they are coming faster and with more magnitude leaving no place for decision latency in our supply chain. How This Shows Up in Practice The effects of this shift are already visible, although they are often interpreted as isolated challenges rather than part of a broader pattern. Product launches are delayed when key components are not available at the required time. In response, teams explore substitutions, only to find that regulatory pathways introduce additional work and delay. What appears to be a sourcing issue quickly becomes a cross-functional effort involving regulatory, quality, and engineering. Inventory strategies come under pressure as well. Organizations attempt to buffer against uncertainty, but still find themselves exposed when supply tightens unexpectedly. Expediting increases, costs rise, and planning teams spend more time reacting to changes than shaping outcomes. At the same time, market opportunities narrow. When competitors secure supply earlier, they move forward with launches and customer commitments while others wait. In a regulated environment where timing is already complex, these delays can have outsized impact. These outcomes are often addressed individually, focusing on supplier performance, forecast accuracy, or specific disruptions. But taken together, they point to a broader issue. Planning processes are still operating under the assumption that supply will be allocated in a relatively stable way, when in reality, supply is being actively contested across industries. Why This Is Not Going Away It is tempting to view current conditions as temporary, assuming that as capacity expands and disruptions ease, the pressure will diminish. However, the demand drivers behind this shift suggest otherwise. Investment in advanced computing and AI infrastructure continues to accelerate, creating sustained demand for high performance components. Automotive continues to increase electronic content per vehicle, and consumer electronics remains a high-volume, highly competitive market. These are not short term trends. They represent a structural rebalancing of demand across industries that rely on the same underlying components. As a result, competition for supply is becoming a persistent condition rather than an occasional disruption. For medical device companies, this changes the planning horizon. The question is no longer how to navigate the current disruption, but how to operate in a market where cross-industry competition for supply is a constant. "Disruptions are happening more frequently and with greater magnitude. Disruptions are the norm. Supply chain success will depend on the ability of the organizations to asses, decide and pivot quickly. This means, we do not have the luxury of being 100% sure on our data or decision, we need to evolve to being comfortable with making decisions with 75%-80% certainty and relying on the flexibility of technology to reassess and redirect as needed." Christy Christian, Kinaxis Sr. Industry Principal Rethinking the Planning Model In this environment, the limitations of traditional planning approaches become more apparent. Many organizations continue to operate with processes designed around stable supply assumptions, where forecast accuracy is the primary lever and decisions can move through structured cycles. Those approaches still matter, but they are no longer sufficient on their own. In a contested supply environment, the ability to evaluate tradeoffs quickly and act with confidence becomes a defining capability. Planning must become more dynamic, with scenario analysis at the center rather than the exception. Organizations need to understand not just what they plan to do, but how they will respond when supply does not align to plan. Equally important is alignment across functions. Decisions about supply allocation, product prioritization, and customer commitments cannot be made in isolation. They require coordination across planning, procurement, regulatory, and commercial teams, with a shared understanding of priorities and constraints. Without that alignment, even well-informed decisions take too long. And in a market where timing determines access, delay carries a real cost. What Action Looks Like Adapting to this shift starts with a change in mindset. Supply can no longer be treated as something that will be allocated based on historical patterns. It must be treated as something that is actively competed for. That means building scenarios that reflect constrained supply conditions and defining responses in advance. It means creating the ability to evaluate options quickly, so that when supply becomes available, decisions can be made without delay. It also means expanding visibility beyond internal demand to better understand the external forces shaping availability. This is not about abandoning discipline. It is about evolving planning to match the environment it operates in. The Bottom Line The landscape for supply has changed, and with it, the rules that determine who gains access and who does not. Medical device companies are now competing in a broader and more dynamic environment, where traditional advantages are no longer enough to ensure priority. Those that recognize this shift and adapt their planning and decision-making approaches will be better positioned to secure supply, protect key initiatives, and respond to change with confidence. Those that continue to operate under previous assumptions will find themselves reacting more often than leading, navigating disruptions rather than shaping outcomes. In a market defined by contested supply, that gap will continue to widen. What to Do Next This is the environment medical device supply chains are now operating in. The question is whether your planning process is built to respond to it. Not just in theory, but in practice. How quickly can you evaluate tradeoffs, align stakeholders, and commit when supply becomes available. PlanningOne is designed to help organizations move faster in exactly this type of environment, bringing together demand, supply, and scenario planning to support real-time decision-making without a complex transformation. Learn More: https://scott-sheldon.com/lp-medical-devices/ Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Crawl Before You Run: A Mid-Market Roadmap to Supply Chain Planning Success - neos by Argon & Co" source_url: "https://neosbyargonandco.com/crawl-before-you-run-a-mid-market-roadmap-to-supply-chain-planning-success" page_path: "/crawl-before-you-run-a-mid-market-roadmap-to-supply-chain-planning-success" page_type: "generic" crawled_at: "2026-09-23T13:43:29Z" content_changed_at: "2026-09-23T13:43:29Z" content_unchanged_days: 0 observed_days: 0 --- Crawl Before You Run: A Mid-Market Roadmap to Supply Chain Planning Success - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Crawl Before You Run: A Mid-Market Roadmap to Supply Chain Planning Success How to Start Small, Deliver Value Fast, and Scale with Confidence Diane Jordan April 20, 2026 If you're in a mid-sized company with supply chain challenges, you might already know you need better planning tools. But you're not alone if you're also thinking: "We don't have the resources to take on a huge project right now." "We can't afford to make a mistake with something this critical." "We're not sure where to even start." The truth is, you don't need to launch a full-blown transformation to make a big impact. Modern supply chain planning tools-like Kinaxis Planning One -are built to scale with you. And the most successful companies don't go live all at once-they take a crawl-walk-run approach . Crawl: Start Where the Pain Is Loudest The crawl phase is about solving one high-impact problem -quickly and effectively. It's your opportunity to get early wins, build internal confidence, and test-drive the capabilities of a modern planning platform. Good crawl-phase focus areas: Inventory visibility and right-sizing Demand collaboration with Sales Constraint-based supply planning Scenario planning for supply disruptions You don't need to rewire your entire operation. You just need to pick the leakiest bucket and fix it first. "Crawl" doesn't mean slow-it means deliberate . Most clients see ROI within weeks of going live on a focused use case. Walk: Expand Capabilities and Collaboration Once you've built trust and shown value, the next phase is about expanding scope and bringing more stakeholders into the process. This phase often includes: Formalizing S&OP or IBP cycles Connecting financial planning and operational planning Introducing supply/demand balancing and prioritization logic Adding new business units, regions, or product lines You're not just layering on technology-you're building a more responsive, agile planning culture. Companies that reach this stage often reduce stockouts by 15-25% and cut inventory carrying costs by 10% (Gartner, 2023). Run: Integrate, Optimize, and Orchestrate The "run" phase is when supply chain planning becomes a true business enabler. You're not just reacting to changes-you're anticipating and shaping them. Capabilities at this stage include: Full demand-supply-finance alignment AI-augmented forecast improvements Network-wide inventory optimization (e.g., MEIO) Real-time response to disruptions across the value chain You're now leveraging the platform's full power to drive strategic outcomes like working capital efficiency, customer service leadership, and resilience against volatility. Why This Approach Works for Mid-Sized Companies Minimized risk: You're not betting the business on a year-long rollout. Early wins: Demonstrate value to execs, stakeholders, and frontline teams fast. Tighter focus: Solve real business problems-not tech wish lists. Stronger adoption: Teams are brought along in manageable stages, not overwhelmed. Scalable ROI: You expand based on business needs, not software constraints. Mid-sized companies using phased planning transformations see 30-50% faster time-to-value than those pursuing all-in-one deployments (McKinsey, 2022). What's Your Crawl? If your current planning process is causing: Too much firefighting Inventory guesswork Delayed decisions Siloed planning across departments Then your first step might be clearer than you think. You don't have to jump to the end of the journey. You just have to take the first step-with the right partner, the right focus, and the right-sized tool. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Data Is Your Supply Chain's Fuel - and AI Doesn't Run on Fumes - neos by Argon & Co" source_url: "https://neosbyargonandco.com/data-is-your-supply-chains-fuel-and-ai-doesnt-run-on-fumes" page_path: "/data-is-your-supply-chains-fuel-and-ai-doesnt-run-on-fumes" page_type: "generic" crawled_at: "2026-09-23T13:43:32Z" content_changed_at: "2026-09-23T13:43:32Z" content_unchanged_days: 0 observed_days: 0 --- Data Is Your Supply Chain's Fuel - and AI Doesn't Run on Fumes - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Data Is Your Supply Chain's Fuel - and AI Doesn't Run on Fumes Diane Jordan May 7, 2026 We've all heard it: AI is changing supply chain planning. But here's the reality no one likes to talk about- AI doesn't work if your data doesn't. In today's rush to adopt AI-powered tools, many supply chain leaders are skipping over the hard part: building a strong, clean, and connected data foundation. Without that, all the dashboards, algorithms, and "intelligent recommendations" in the world are just...well, noise. Because at the end of the day, AI doesn't run on hope. It runs on high-quality, real-time, trusted data. Your Supply Chain Runs on Data-Just Like a Truck Runs on Fuel Think of your supply chain like a fleet of trucks. The tools and platforms you invest in are the engines. Your team is the driver. But without the right fuel-without reliable data flowing through your planning processes-everything stalls. AI is particularly sensitive to this. It assumes: Your demand signals are clean and timely Your BOMs, routings, and inventory records are accurate Your lead times, constraints, and supply inputs reflect reality But for most organizations, the truth is messier: data lives in silos, gets updated manually, and doesn't reflect what's actually happening across the network. AI Needs Context-Not Just Data Volume You don't just need more data-you need the right data, in the right format , with business context applied. That means: Aligning your data structures across systems (ERP, MES, planning tools) Defining common planning hierarchies and time horizons Building governance to maintain quality over time-not just during implementation If your AI system is learning from poor or incomplete inputs, its recommendations won't be helpful-they'll be harmful. Planning Before Prediction: The Foundation Comes First Before you can use AI to optimize decisions, you need to stabilize and standardize how decisions are made today. That starts with: Clean master data and aligned planning parameters Process visibility across functions A culture of data ownership (not just "IT's problem") Only then can AI become a true accelerator-surfacing trade-offs, testing scenarios, and guiding planners toward better, faster decisions. The Bottom Line: Fix the Fuel Before You Upgrade the Engine AI is not a silver bullet. It's a high-performance engine-and it demands high-octane fuel. If your organization is exploring AI for planning, start by asking: "Is our data fit for purpose?" If the answer is no, it's not a blocker-it's a roadmap. Because AI success isn't just about ambition. It's about readiness. And that starts with data. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Decision Intelligence: From Supply Chain Strategy to Action" source_url: "https://neosbyargonandco.com/decision-intelligence-supply-chain-strategy-action" page_path: "/decision-intelligence-supply-chain-strategy-action" page_type: "generic" crawled_at: "2026-09-23T13:43:36Z" content_changed_at: "2026-09-23T13:43:36Z" content_unchanged_days: 0 observed_days: 0 --- Decision Intelligence: From Supply Chain Strategy to Action Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Decision Intelligence: Connecting Strategy to Supply Chain Action How organizations can preserve strategic intent as decisions move from executive priorities into planning and execution. Diane Jordan September 8, 2026 Most companies can describe their strategic priorities clearly. They want to grow in selected markets, improve service, release cash, increase resilience and manage cost. The difficulty appears when those priorities reach the thousands of decisions made across the supply chain. A strategy to protect growth may become a customer service target. A working capital objective may become an inventory reduction requirement. A margin goal may become a purchasing or transportation cost threshold. Each translation makes the strategy more actionable, but it also removes some of its context. By the time the priority reaches a planner, buyer, production scheduler, warehouse manager or transportation team, it may appear as a single functional measure. The person making the decision can improve that measure without knowing whether the choice still supports the strategy from which it originated. Decision Intelligence narrows this distance between strategy and action. It gives the organization a way to evaluate decisions in the context of their wider consequences, competing objectives and changing conditions. Decisions are where strategy becomes real Strategy does not produce results directly. Results emerge from the decisions made in its name. A company may identify a market as a growth priority, but that ambition becomes operational only when the supply chain decides where to position inventory, which customers receive constrained supply, how much capacity to reserve and what level of cost or risk is acceptable. A resilience strategy may require alternate suppliers, additional inventory or flexible capacity. A cash objective may point toward lower stock and longer payment terms. A service objective may require the opposite. These priorities can coexist in a strategy document because they are all desirable. They become difficult when a specific decision requires the organization to choose among them. Consider a constrained material used by several products and markets. Planning may favor the allocation that protects the greatest number of orders. Commercial leaders may prioritize a strategic customer or growth market. Manufacturing may prefer the option that minimizes disruption to the production schedule. Finance may focus on margin and working capital. There is no objective answer until the organization determines which outcomes matter most under the circumstances. Decision Intelligence makes those choices more explicit. It brings strategic objectives, operational evidence, analytical methods and decision rights together at the point where action is required. Move beyond better analytics Decision Intelligence is sometimes treated as another term for analytics or artificial intelligence. It is broader than either. Analytics can describe conditions and identify patterns. Forecasting can estimate what may happen. Optimization can calculate feasible choices and tradeoffs. Simulation can test how a network may behave under different assumptions. AI can interpret unstructured information, assemble context and explain alternatives. These capabilities improve the information available to decision makers, but they do not determine what the organization is trying to achieve. Decision Intelligence begins with the decision itself: What choice must be made? Which objectives should govern it? What constraints and dependencies matter? What evidence and analytical methods are appropriate? Who has authority to decide? What actions are permitted? How will the outcome be evaluated? The value does not come from applying one analytical method to every question. It comes from coordinating the appropriate methods and evidence around a consequential decision. A capacity decision may require optimization to evaluate feasible production alternatives. A supplier risk may require AI to interpret messages and external information. A network investment may require simulation and financial analysis. A customer allocation may require both policy and human judgment. Decision Intelligence organizes these contributions without confusing a calculated result with a complete business decision. Preserve the context behind strategic priorities Strategic objectives are often translated into targets and policies because operating teams need clear direction. The problem arises when the measure becomes detached from the purpose it was intended to serve. A plant utilization target may support cost competitiveness under stable demand. The same target can become destructive if the business needs flexibility for a product launch or a rapidly growing market. An inventory reduction target may release cash, but applying it uniformly could weaken service for products with long replenishment times or critical customer commitments. The measure has not necessarily become wrong. Its meaning has changed because the operating context has changed. Decision Intelligence keeps the purpose of the measure attached to the decisions it influences. The system should understand not only the target but also the assumptions, priorities and boundaries behind it. This does not require executives to make every operating decision. It requires leadership to establish governing logic that can travel with those decisions. For example, leaders may define when protecting a strategic customer justifies additional cost, when resilience should take priority over efficiency or when an apparent local inefficiency preserves an option the enterprise considers valuable. That logic can guide decisions closer to execution while identifying the tradeoffs that still require leadership judgment. Expand the organization's capacity to understand consequences Traditional management structures were designed around limits in human attention and cognition. Functions divided complex work into manageable domains. Hierarchies determined which decisions moved upward. KPIs compressed complicated operating conditions into a small number of signals. Planning cycles periodically brought information together so leaders could reconcile conflicts. These mechanisms made large enterprises manageable. They also created latency. Information loses context as it is summarized and escalated. Teams spend time gathering facts, reconciling definitions and determining who owns the problem. Slowly accumulating consequences may remain below escalation thresholds until they affect service or financial performance. AI begins to change this constraint. It can examine more signals, relationships and prior decisions than people can follow unaided. It can combine structured transactions with messages, documents and other unstructured evidence. It can maintain context as conditions change and recognize when the assumptions behind a decision may no longer hold. This expanded capacity is important, but greater local intelligence does not automatically create a more intelligent enterprise. A manufacturing agent may become better at maximizing utilization. A procurement agent may become better at identifying unit savings. A transportation agent may become better at consolidating freight. If each pursues its functional objective without considering wider consequences, AI may accelerate Network Drift. AI applied to individual functions increases local intelligence. AI applied to the relationships among decisions can increase organizational intelligence. Combine AI, mathematical methods and human judgment Decision Intelligence does not assign every choice to AI. Different parts of a decision require different capabilities. Systems of record provide authoritative information about transactions, commitments and current state. Planning, optimization and simulation determine feasibility and quantify tradeoffs. AI can interpret information, identify relevant relationships, assemble evidence and explain why a recommendation changes as conditions change. Human leaders remain responsible for defining objectives, determining acceptable risk and making choices that involve commercial, workforce or strategic judgment. This separation is important. AI should not invent capacity, cost or feasible production alternatives when established systems and analytical models can calculate them. A mathematical model should not be expected to determine the strategic importance of a customer unless leadership has made that priority explicit. The most reliable decision process allows each participant to contribute what it does best. The resulting recommendation should distinguish authoritative data from calculated output, assumptions and explanatory narrative. That transparency allows a person or downstream system to evaluate the recommendation rather than simply trust it. Align decision rights with consequences Organizations commonly assign decision authority according to functional ownership. This works when most consequences remain within the same boundary. As supply chains become more interdependent, the reach of a decision may extend well beyond the function making it. A planner may be authorized to reallocate inventory, but the decision could affect strategic customers, transportation capacity and future service in another region. A production scheduler may change a campaign sequence while creating consequences for working capital and market supply. Decision Intelligence should route authority according to the reach, risk and reversibility of the decision. A low-cost, reversible adjustment within an approved boundary may be automated. A decision affecting a major customer commitment may require commercial approval. A capacity or network change with long-term consequences may require executive governance. The objective is not to move every cross-functional decision upward. That would recreate the delay the intelligence layer is intended to reduce. Instead, leadership should define which decisions can remain distributed, which require additional participation and what conditions trigger escalation. The appropriate owner should receive the relevant context, alternatives and tradeoffs without having to reconstruct the issue from several systems and meetings. Learn when strategy and operations no longer fit Decision Intelligence does more than translate strategy into execution. It also allows execution to inform strategy. An organization may repeatedly override the same planning recommendation because an important constraint is missing from the model. A service policy may produce costs that were not anticipated when the strategy was set. A growth priority may expose limitations in manufacturing or distribution that require investment. These outcomes provide evidence about the strategy's assumptions. When decisions and actions are recorded with their objectives, evidence and expected consequences, the organization can compare what it intended with what occurred. Accepted, modified and rejected recommendations can all contribute to learning. This feedback helps leaders determine whether an individual decision was poor, an operating policy needs adjustment or the strategy itself no longer reflects the conditions facing the network. Strategy then becomes more than a set of priorities translated downward. It becomes a governing logic that guides action and learns from what action reveals. Put Decision Intelligence inside Intelligent Network Operations Decision Intelligence and Intelligent Network Operations describe different but related capabilities. Decision Intelligence provides the reasoning required to understand consequences, evaluate alternatives and make tradeoffs. Intelligent Network Operations provides the operating capability to sense change, assemble the appropriate context, route the decision, execute the approved response and learn from the outcome. Together, they help move the organization toward an Orchestrated Supply Network. In an Orchestrated Supply Network, functions retain their specialized knowledge and authority, but their decisions are informed by their expected effects on the broader network. The enterprise does not attempt to centralize every choice. It creates the context and governance needed for distributed decisions to remain coherent with strategy and with one another. Decision Intelligence is what allows the organization to consider those wider consequences before they become results. Make tradeoffs deliberate Supply chain leaders will continue to face competing objectives. Growth, service, margin, cash, resilience and flexibility cannot all be maximized simultaneously. The question is whether the tradeoffs among them are made deliberately or emerge accidentally through the accumulation of functional decisions. Decision Intelligence gives the organization a stronger basis for making those tradeoffs. It preserves strategic context, brings wider consequences into view and directs the decision to the level where the necessary authority and judgment reside. AI makes this capability increasingly practical, but technology alone does not create it. Leaders must still articulate priorities, define boundaries and decide which consequences matter. The goal is not to automate strategy. It is to ensure that the decisions shaping the supply chain continue to express it. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? Hide Toolbar Duration Only for this session 24 hours A Week Not Now Hide Toolbar Select your accessibility profile Vision Impaired Mode Enhances website's visuals Seizure Safe Profile Clear flashes & reduces colour ADHD Friendly Mode Focused browsing, distraction-free Blindness Mode Reduces distractions, improves focus Epilepsy Safe Mode Dims colours and stops blinking Content Modules Font Size + Default - Readable Font Line Height + Default - Cursor Letter Spacing Align Text Font Weight Colour Modules Light Contrast High Contrast Monochrome Orientation Modules Reading Line Reading Mask Hide Images Highlight Content Stop Animations Highlight Links Skip To Content Choose... Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Decisive Beats Right: Rethinking Med Device Planning - neos by Argon & Co" source_url: "https://neosbyargonandco.com/decisive-beats-right-rethinking-med-device-planning" page_path: "/decisive-beats-right-rethinking-med-device-planning" page_type: "generic" crawled_at: "2026-09-23T13:43:40Z" content_changed_at: "2026-09-23T13:43:40Z" content_unchanged_days: 0 observed_days: 0 --- Decisive Beats Right: Rethinking Med Device Planning - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Decisive Beats Right: Rethinking Med Device Planning Diane Jordan September 3, 2026 For years, supply chain planning has rewarded precision. The goal was clear: build the most accurate forecast, validate assumptions, and align across the organization before committing to action. Being right was the objective. In medical device organizations, this mindset runs even deeper. The business is built on safety, traceability, and compliance. Decisions are expected to be well supported, well documented, and thoroughly validated. That discipline is not optional. It is foundational. But not every decision carries the same level of risk. That is where the tension begins. Today's supply chain environment is not rewarding the most precise plans. It is rewarding the fastest, most effective responses. In many cases, the companies that win are not the ones that are most accurate. They are the ones that act first. This is a critical component of supply chain success in a turbulent, unpredictable state. For medical device leaders, the challenge is not simply to move faster. It is to understand where speed creates advantage, where rigor must remain, and how to operate differently without compromising what matters most. The Hidden Tax in Med Device Planning There is a cost embedded in many planning organizations that is rarely measured directly. It shows up in delays, missed opportunities, and lost supply, but it is not typically tracked. This cost is decision latency. Decision latency is the time between recognizing a need and acting on it. It is the gap between insight and execution, and in many organizations, that gap is growing. Organizations have more data available today than ever before and yet decision making remains slow. In medical device environments, latency is often amplified by design. Planning teams operate within governance structures that prioritize accuracy and alignment. A potential supply issue is identified, validated, and escalated. Input is gathered from procurement, operations, and quality. If a change is required, it may trigger regulatory considerations such as 510(k) supplements, additional validation, or biocompatibility and EMC review. Each step is justified. Each step adds time. Meanwhile, the market continues to move. Suppliers allocate constrained components. Other industries commit earlier and in larger volumes. By the time a decision is finalized, the available supply may already be gone. The issue is not that these processes exist. The issue is that the same level of rigor is often applied to decisions that do not carry the same level of consequence. Not all decisions require the same level of certainty, but many are treated as if they do. Why Traditional Planning Models Fall Short Most planning processes were built for a different environment. They were designed around structured cycles, periodic reviews, and a bias toward completeness. Quarterly S&OP cycles are a clear example. They create alignment, but they also introduce delay. Decisions are often held until the next cycle, even when conditions are changing daily. At the same time, organizations tend to favor additional data over timely action. The instinct is to wait for more information, broader alignment, or greater confidence. This approach optimizes being right. It does not optimize for being timely. In stable environments, this tradeoff was acceptable. In today's environment, it is not. Supply constraints, cross industry competition for components, and increased demand volatility have changed the equation. The ability to respond quickly is now a defining factor in performance. Decision latency is no longer just an internal inefficiency. It is a competitive disadvantage. The Cost of Being Right, Too Late One of the reasons decision latency persists is that its impact is difficult to isolate. It does not show up as a single metric or a clear failure point. Instead, it appears in downstream effects. A delayed supplier commitment results in lost allocation. A slow response to a disruption leads to missed production windows. A late decision on a product launch compresses timelines and increases risk across validation and regulatory processes. Over time, these delays shape how suppliers perceive the organization. Companies that move slowly are seen as less predictable partners. They may be deprioritized in favor of customers who commit earlier and more consistently. In medical device environments, the consequences can be even more complex. Delays can trigger additional validation requirements, create pressure on regulatory timelines, and introduce rework that could have been avoided with earlier action. These outcomes are rarely attributed back to decision latency directly, but they are often rooted in it. "With the continuing disruption and uncertainty, Kinaxis has seen elevated usage of scenario planning, a functionality embedded in our Maestro platform. Scenario modeling provides supply chains with options and corresponding financial impact to support decision making. The ability to quickly run scenarios, moves supply chains from reactive adjustments to proactive, insight-driven responses. Leveraging technology to quickly assess disruptions supports faster decision making, reducing or ideally eliminating decision latency which is key in today's turbulent environment." Christy Christian, Kinaxis, Sr. Industry Principal Speed Without Compromising Safety For many medical device organizations, the challenge is not recognizing the need for faster decisions. It is understanding how to move faster without introducing unacceptable risk. The answer is not to abandon the discipline that defines the industry. It is to apply it more precisely. Not all decisions carry the same level of consequence. Regulatory changes, product design decisions, and validation activities must remain deliberate and thorough. They are designed that way for a reason. Planning decisions are different. Many of them are directional, reversible, and made under uncertainty. Treating them with the same level of rigor as regulated decisions introduces delay without reducing meaningful risk. Organizations that are improving decision speed are starting by redefining decision types. They are separating what must be fully validated from what can be adjusted over time. Supplier commitments, allocation decisions, and scenario selection are being managed through faster pathways, while strict governance remains in place where it truly matters. They are also changing how decisions are made. Instead of waiting for sequential alignment across functions, teams are working from a shared view of the problem. Planning, operations, and procurement are evaluating the same scenarios at the same time, reducing the need for multiple handoffs. This shift does not eliminate collaboration. It makes it more immediate. Finally, leading organizations are beginning to measure what has historically been invisible. Decision latency is being tracked alongside forecast accuracy, making it clear where delays are occurring and how they impact performance. The goal is not to move faster at the expense of quality. It is to move faster where speed creates advantage, while preserving rigor where it protects the business. Technology as an Enabler of Speed Process and mindset shifts are critical, but they are difficult to sustain without the right technology. Many organizations still operate with fragmented systems and delayed data flows. Information is gathered, consolidated, and shared in batches. By the time it is reviewed, it is already outdated. This naturally slows decision making and reinforces the need for additional validation. Modern planning approaches change this dynamic. Real time visibility across the supply network allows teams to respond to changes as they happen. Concurrent planning enables demand, supply, and inventory decisions to be evaluated together, rather than in sequence. Scenario simulation allows teams to test options quickly and understand tradeoffs without waiting for extended analysis cycles. The result is not perfect certainty. It is faster, more informed action. When teams can evaluate scenarios in minutes instead of weeks, the conversation shifts. Instead of asking whether the data is complete, the focus moves to choosing the best path forward given current conditions. Rethinking What Good Looks Like To improve decision speed, organizations need to rethink how they define success in planning. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Do You Really Need IBP-Or Just Better S&OP? - neos by Argon & Co" source_url: "https://neosbyargonandco.com/do-you-really-need-ibp-or-just-better-sop" page_path: "/do-you-really-need-ibp-or-just-better-sop" page_type: "generic" crawled_at: "2026-09-23T13:43:43Z" content_changed_at: "2026-09-23T13:43:43Z" content_unchanged_days: 0 observed_days: 0 --- Do You Really Need IBP-Or Just Better S&OP? - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Do You Really Need IBP-Or Just Better S&OP? Diane Jordan August 5, 2026 The buzz around Integrated Business Planning (IBP) is real. Vendors promise visibility, agility, and alignment. Analysts highlight IBP as the next evolution in planning maturity. And for many mid-sized businesses, it's tempting to jump in-especially when supply chain volatility is high and executive expectations are even higher. But before you take the leap, it's worth asking a grounded, strategic question: Do you really need IBP... or do you just need better S&OP? The truth is, not every company is ready for full IBP -and not every company needs it right now. In fact, improving your S&OP process may deliver 80% of the value you're looking for. Let's break down how to know where you are, what your business actually needs, and how to make smart decisions about your planning evolution. IBP vs. S&OP: It's Not Either/Or. It's a Maturity Curve. S&OP and IBP aren't competing models-they're stages in the same journey. You can't jump to IBP without mastering the fundamentals of S&OP: A reliable demand forecast A constrained supply plan A structured monthly cadence Cross-functional collaboration Decision-making discipline IBP builds on this with added layers: strategic integration, financial reconciliation, and extended planning horizons. "Many companies are still in early or mid-stage S&OP maturity. For them, IBP should be an aspiration, not a starting point." - Gartner, "How to Evolve Your S&OP Process Toward IBP," 2023 Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "AdvaMed MedTech 2026 - neos by Argon & Co" source_url: "https://neosbyargonandco.com/events/advamed-medtech-2026" page_path: "/events/advamed-medtech-2026" page_type: "generic" crawled_at: "2026-09-23T13:43:47Z" content_changed_at: "2026-09-23T13:43:47Z" content_unchanged_days: 0 observed_days: 0 --- AdvaMed MedTech 2026 - neos by Argon & Co Skip to content Building Smarter Supply Chains AdvaMed MedTech 2026 EVENT DETAILS Region/ City: Boston, MA Date: Sunday, October 18 - Wednesday, October 21, 2026 EST Event Location: Boston Convention & Exhibition Center in the Seaport District Event Type: OVERVIEW The MedTech Conference brings top industry executives and thousands of global innovators together in Boston. Medical devices, diagnostics, imaging and digital technologies are making a significant impact on the lives of people around the globe. These advances are being made by scientists, entrepreneurs, academics, investors, and an entire community of medtech leaders and innovators. NEOS INVOLVEMENT Exhibiting with Kinaxis More information and registration details can be found here. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Gartner Supply Chain Planning Summit - neos by Argon & Co" source_url: "https://neosbyargonandco.com/events/gartner-supply-chain-planning-summit" page_path: "/events/gartner-supply-chain-planning-summit" page_type: "generic" crawled_at: "2026-09-23T13:43:51Z" content_changed_at: "2026-09-23T13:43:51Z" content_unchanged_days: 0 observed_days: 0 --- Gartner Supply Chain Planning Summit - neos by Argon & Co Skip to content Building Smarter Supply Chains Gartner Supply Chain Planning Summit EVENT DETAILS Region/ City: Denver, CO Date: Monday, November 2-Tuesday, November 3, 2026 Event Location: Gaylord Rockies Resort & Convention Center Event Type: OVERVIEW Join fellow supply chain planning leaders to discover actionable strategies, harness new technologies and turn uncertainty into opportunity - empowering you to drive innovation, resilience and business impact. NEOS INVOLVEMENT Exhibit/Sponsor with Argon & Co More information and registration details can be found here. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Kinaxis Kinexions EMEA 2026 - neos by Argon & Co" source_url: "https://neosbyargonandco.com/events/kinaxis-kinexions-emea-2026" page_path: "/events/kinaxis-kinexions-emea-2026" page_type: "generic" crawled_at: "2026-09-23T13:43:54Z" content_changed_at: "2026-09-23T13:43:54Z" content_unchanged_days: 0 observed_days: 0 --- Kinaxis Kinexions EMEA 2026 - neos by Argon & Co Skip to content Building Smarter Supply Chains Kinaxis Kinexions EMEA 2026 EVENT DETAILS Region/ City: Grand Hyatt Barcelona, Barcelona, Spain Date: Monday, October 26 - Wednesday 28, 2026 Event Location: Grand Hyatt Barcelona Event Type: Vendor Conference OVERVIEW Reimagine decision-making in the agentic era, from insight to impact. Step into an experience designed to challenge assumptions and accelerate innovation. Gain insight from dynamic voices across industries, reinvigorate your work with transformative learning sessions, and build relationships that extend far beyond our conference. This is where supply chain's future isn't just discussed. photo of Barcelona, Spain NEOS INVOLVEMENT Exhibit/Sponsor with Kinaxis More information and registration details can be found here. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "New Zealand SAP User Group Auckland SAP Summit - neos by Argon & Co" source_url: "https://neosbyargonandco.com/events/new-zealand-sap-user-group-auckland-sap-summit" page_path: "/events/new-zealand-sap-user-group-auckland-sap-summit" page_type: "generic" crawled_at: "2026-09-23T13:43:58Z" content_changed_at: "2026-09-23T13:43:58Z" content_unchanged_days: 0 observed_days: 0 --- New Zealand SAP User Group Auckland SAP Summit - neos by Argon & Co Skip to content Building Smarter Supply Chains New Zealand SAP User Group Auckland SAP Summit EVENT DETAILS Region/ City: APEC/ New Zealand / Auckland Date: Friday 18th September, 7:30AM - 8:30PM (NZT) Event Location: Viaduct Event Centre, 171 Halsey Street, Auckland Event Type: Vendor Event (SAP) OVERVIEW NZSUG Auckland SAP Summit 2026 is New Zealand's premier SAP community event, bringing together SAP customers, partners, and industry leaders for a day of insights, customer success stories, innovation, and networking. The summit provides attendees with the opportunity to explore the latest SAP technologies, hear from industry experts, connect with peers across the SAP ecosystem, and build valuable relationships through dedicated networking sessions. New Zealand SAP User Group Auckland SAP Summit Flyer NEOS INVOLVEMENT The neos team will be present at the NZSUG Auckland SAP Summit 2026 as a Silver Sponsor, connecting with SAP customers, partners, and industry leaders while showcasing our expertise and capabilities. More information and registration details can be found here. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Excel Was Never Built for Planning. The Complexity of Medical Device Supply Chains Proves It. - neos by Argon & Co" source_url: "https://neosbyargonandco.com/excel-was-never-built-for-planning-the-complexity-of-medical-device-supply-chains-proves-it" page_path: "/excel-was-never-built-for-planning-the-complexity-of-medical-device-supply-chains-proves-it" page_type: "generic" crawled_at: "2026-09-23T13:44:02Z" content_changed_at: "2026-09-23T13:44:02Z" content_unchanged_days: 0 observed_days: 0 --- Excel Was Never Built for Planning. The Complexity of Medical Device Supply Chains Proves It. - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Excel Was Never Built for Planning. The Complexity of Medical Device Supply Chains Proves It. Diane Jordan April 12, 2026 For decades, Excel has been the default tool for planning. It is flexible, familiar, and deeply embedded in how organizations operate. For many teams, it has been "good enough", a reliable way to bridge gaps between systems, model scenarios, and manage day-to-day planning activities. But "good enough" is no longer good enough. In most industries, supply chain disruptions are measured in cost and service levels. In medical devices, they are measured in patient outcomes. A delayed shipment is not just a missed delivery, it can mean postponed procedures, compromised care, or limited access to critical therapies. That reality changes the standard. And it exposes the limitations of tools that were never designed for this level of responsibility. A Different Kind of Complexity Medical device supply chains operate under a unique and intensifying set of pressures. Regulatory requirements demand strict traceability across every stage of the product lifecycle, from raw materials through finished goods. Product portfolios continue to expand, often with frequent engineering changes, multiple configurations, and tightly managed lifecycle transitions. At the same time, demand is not purely statistical. It is shaped by procedure volumes, regional dynamics, and adoption rates. These factors introduce variability that traditional forecasting methods struggle to capture. Complex supply chains also extend far beyond internal operations. Contract manufacturers, sterilization providers, logistics partners, and field service networks all play critical roles in delivering finished products to patients. Coordination across this ecosystem is essential, yet often fragmented. Layer on top the complexity of managing capital equipment, consumables, spare parts, and service commitments, each with fundamentally different planning requirements, and it becomes clear that this is not a traditional planning problem. It is a coordination problem at scale. The Limits of Spreadsheet-Based Planning Excel was never designed to operate as a system of coordination. It is a powerful tool for analysis, but it functions in isolation. As complexity increases, so does the number of spreadsheets, assumptions, and manual interventions required to keep plans aligned. Over time, this creates fragmentation. Different teams operate from different data sets. Planning cycles slow as effort shifts from decision-making to reconciliation. Scenario analysis becomes cumbersome, limiting the ability to respond quickly to change. Most critically, interdependencies are lost. A shift in demand impacts production, which affects supplier requirements, which influences inventory positioning and service levels. In a spreadsheet-driven environment, these relationships are disconnected, making it difficult to understand the full impact of a decision before it is made. What once provided flexibility ultimately introduces risk. Why ERP Alone Isn't the Answer Many organizations attempt to address these challenges by consolidating planning within their ERP systems. While this can improve data consistency, it does not fundamentally solve the problem. ERP platforms are built for execution and transaction management. They are not designed for rapid, iterative decision-making or scenario evaluation. They struggle to support the dynamic, cross-functional coordination required in today's environment. As a result, organizations often find themselves operating between two constraints: spreadsheets that are flexible but disconnected, and systems that are integrated but rigid. Neither enables the level of responsiveness now required. The Shift: From Planning to Adaptability Leading medical device organizations are moving beyond traditional planning models toward something more advanced: adaptive, connected supply chains. This shift is about more than visibility. It is about enabling concurrent, real-time decision-making across demand, supply, and inventory. It is about ensuring that changes in one area are immediately reflected across the entire network, allowing teams to evaluate trade-offs and respond with confidence. In this model, inventory is no longer treated as a static buffer to be minimized. It becomes a strategic lever-positioned deliberately across the network to balance service levels, working capital, and risk. External partners are no longer loosely connected through periodic updates. They are integrated into the planning process, enabling coordination across contract manufacturers, suppliers, and service networks in near real time. This is the foundation of an adaptive supply chain which can sense disruption, evaluate options, and act quickly while maintaining compliance and control. From Reaction to Anticipation The impact of this shift is profound. Organizations gain the ability to anticipate shortages before they occur, rather than reacting to them after the fact. Product transitions can be managed more effectively, reducing the risk of obsolescence or service disruption. Inventory can be positioned more intelligently, improving service levels without unnecessary excess. At the same time, teams spend less time managing data and more time making decisions. Alignment across functions improves, enabling faster responses to changing market conditions and operational challenges. In an industry where reliability and responsiveness are directly tied to patient care, this level of control is not optional, it is essential. A Necessary Evolution Excel will continue to play a role in the enterprise. It remains a valuable tool for analysis and flexibility at the edges. But it should no longer serve as the foundation of supply chain planning. As medical device supply chains continue to grow in complexity, the cost of disconnected planning increases. What was once an operational workaround becomes a strategic constraint. The organizations that move beyond spreadsheets are not simply improving efficiency. They are building supply chains that are more resilient, more responsive, and better aligned to the realities of their industry. Final Thought The question is no longer whether Excel can support planning. It is whether your supply chain can afford to depend on it. Read additional articles in this Series Article 1: Medical Device Planning Was Never Built for Excel Article 2: Inventory Strategy in Medical Devices: It's Not How Much. It's Where. Article 3: Why Planning Systems Break in Complex Supply Chains Article 4: From Reactive to Proactive Planning in a Medical Device Supply Chain Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Financial Blind Spots in Supply Chain Trade-Offs - neos by Argon & Co" source_url: "https://neosbyargonandco.com/financial-blind-spots-in-supply-chain-trade-offs" page_path: "/financial-blind-spots-in-supply-chain-trade-offs" page_type: "generic" crawled_at: "2026-09-23T13:44:05Z" content_changed_at: "2026-09-23T13:44:05Z" content_unchanged_days: 0 observed_days: 0 --- Financial Blind Spots in Supply Chain Trade-Offs - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Financial Blind Spots in Supply Chain Trade-Offs Why finance needs a front-row seat in operational decision-making - and how integrated planning makes it possible. Diane Jordan March 7, 2026 In mining, supply chain teams make high-impact trade-offs every day: Expedite the shipment, or delay delivery? Run the mill on lower-grade ore, or hold for better feedstock? Overproduce now, or risk a shortfall next quarter? Each of these decisions carries financial implications - but too often, Finance only learns about them after the fact. This lag isn't just inconvenient. It introduces blind spots into forecasting, budgeting, and risk planning , leaving finance teams reactive in moments when foresight is most critical. The Root of the Disconnect Most mining organizations still operate with functional silos - operations, logistics, procurement, and finance all using different tools, data, and planning timelines. That disconnect leads to: Unseen cost exposure - Expedited freight, detention, overtime, and working capital drain show up later as "variances" Misaligned financial forecasts - Budgets assume steady-state flows that don't reflect real execution Delayed corrective action - Finance sees the result of a poor trade-off but wasn't in the loop when it happened Stat: According to APQC, 48% of CFOs cite "limited operational alignment" as a key barrier to improving forecast accuracy and budget agility. Why This Matters Now Mining is more complex and volatile than ever: Global demand shifts can change monthly ESG regulations add traceability and compliance requirements Input costs (fuel, labor, energy) fluctuate faster than static budgets can adjust If Finance isn't closely tied to planning and operations, the business ends up planning with stale data and reacting with incomplete information. That's no way to stay competitive. What Finance Needs to See - and Influence To remove these blind spots, Finance must be proactively integrated into planning and trade-off conversations - not just looped in when results are finalized. Here's what leading mining companies are doing: 1. Cross-Functional Planning Models Bring operations, logistics, and finance into one system with shared assumptions, timelines, and real-time data visibility. 2. Scenario Modeling with Financial Overlays Instead of evaluating trade-offs in isolation, teams model the cost, service, and margin implications together - enabling better, faster decisions. 3. Embedded Finance Roles in Planning Cycles Finance team members actively participate in monthly and weekly planning reviews - acting as partners, not auditors. Example: A regional mining company implemented an integrated planning process where Finance reviewed production and logistics decisions weekly. Within three months, they cut expedited freight spend by 28% and improved EBITDA forecast accuracy by 7%. The Payoff: Better Margins, Greater Agility, Fewer Surprises When Finance is integrated into supply chain planning: Budget assumptions become more realistic Trade-offs become more strategic Variances are reduced - and more often prevented entirely More importantly, Finance gains the ability to shape the business , not just account for it. Insight: Gartner reports that organizations with integrated financial and operational planning processes are 2.2x more likely to achieve margin targets in volatile markets. Conclusion: Remove the Blind Spots, Unlock the Potential Supply chains don't operate in isolation - and neither should your financial planning. By embedding Finance into operational planning cycles and giving them the tools to see and evaluate trade-offs in real time, mining companies unlock smarter decision-making and tighter performance management. Because in a market where every decision carries cost, risk, and opportunity - you can't afford to fly blind. Citations & Sources APQC - CFO Challenges: Forecasting and Operational Planning Alignment Gartner - How to Integrate Financial and Operational Planning for Greater Agility Deloitte - The Future of Finance in Capital-Intensive Industries Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "FMCG Inventory Optimisation - neos by Argon & Co" source_url: "https://neosbyargonandco.com/fmcg-inventory-optimisation" page_path: "/fmcg-inventory-optimisation" page_type: "generic" crawled_at: "2026-09-23T13:44:09Z" content_changed_at: "2026-09-23T13:44:09Z" content_unchanged_days: 0 observed_days: 0 --- FMCG Inventory Optimisation - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read FMCG Inventory Optimisation Strategies for Improving Performance and Long-Term Success admin October 29, 2024 A recent survey by Argon & Co for the Australian Food & Grocery Council highlighted inventory optimization as a priority for FMCG businesses. Optimising inventory within the FMCG supply chain is a complex and critical task, with end-to-end inventory often extending to six months or more. This represents a significant amount of working capital tied up on the balance sheet, which incurs ongoing costs, especially with interest rates at record highs, rising material and logistics expenses, and the risk of obsolescence as customer demands shift rapidly and product lifecycles shorten. To navigate these challenges, manufacturers can explore a range of strategies to optimise their inventory while remaining flexible. These strategies span product range, network, manufacturing, and technology. However, it's crucial to take a holistic approach, considering overall business trade-offs rather than focusing solely on optimising one area. Getting the Basics Right A fundamental starting point for inventory optimisation is ensuring that your system accurately reflects your physical inventory-its quantity, location, and for perishable items, best-before dates. This can be achieved by implementing robust procedures for goods receipting, put-away, and picking, all supported by barcode scanning and inventory management systems. Regular cycle counting and data reconciliation, particularly with third-party contract manufacturers and logistics providers, are key to maintaining accurate inventory records. Product Range and Demand Forecasting High inventory levels are often driven by SKU proliferation, and treating all SKUs with equal importance. Optimising your product range by segmenting products based on revenue, margin, volume, or other relevant factors is a critical step. This segmentation allows for targeted inventory strategies - such as higher target service levels for top-performing or strategically important products, and making smaller items to order only. Safety stock levels should be tailored to the importance and variability of each SKU. High demand variability often necessitates higher inventory levels to maintain the same service levels. While reducing demand variability is challenging, it can be managed by increasing the volume sold and ranging of products and reducing the tail of products with intermittent demand. Enhancing demand forecasts is crucial and can be achieved by investing in strong demand planning capabilities-including skilled people, robust processes, and advanced planning systems. Leveraging external inputs such as retailer data, accurately capturing promotional plans, accounting for seasonal trends, and carefully planning for new product launches and end-of-life transitions can significantly improve forecast accuracy. Network Optimisation The location of your inventory within the network plays a critical role in optimisation. Centralising inventory in one location and distributing it as late as possible can reduce the overall inventory required, as demand from different customers can be pooled. However, this must be balanced against the lead times to move inventory.. A well-optimised network strategy considers both inventory pooling benefits and meeting customer demand in a timely manner. Manufacturing and Procurement Optimisation High inventory levels are often driven by manufacturing teams aiming to increase batch sizes to reduce changeovers and improve throughput without considering downstream impacts. This issue can be mitigated by using modelled scenarios to balance changeover costs against inventory carrying costs. Focused improvement projects aimed at reducing changeover times-such as implementing Single-Minute Exchange of Dies (SMED), providing specialised training, and standardising processes-can support reducing batch sizes. From a procurement perspective, adopting a total cost of ownership (TCO) view is vital. While suppliers may offer price breaks for ordering larger quantities, this can lead to higher carrying costs and potential obsolescence. Vendor-Managed Inventory (VMI) agreements, where suppliers hold inventory on your behalf, can be beneficial but require careful management - particularly with binding forecasts. Reducing lead times is another crucial strategy for lowering overall inventory levels. The longer your lead time, the more inventory you need to hold to mitigate risk. Shortening lead times through improved supplier relationships and streamlined manufacturing logistics can result in significant inventory reductions. Supporting Technology and Planning Processes Technology and processes plays a vital role in inventory optimisation. Enterprise Resource Planning (ERP) systems help track and manage inventory, while advanced planning systems (APS) drive better demand forecasting and supply planning. These systems, along with analytics tools, can support scenario planning and provide valuable insights for decision-making. Regular Sales and Operations Planning (S&OP) processes are essential to align operational plans with service, cost, and cash objectives. Conclusion In conclusion, FMCG companies must regularly assess and optimize their inventory across several levers: product range, network, manufacturing, procurement, and technology. By integrating these strategies into a cohesive plan and supporting them with robust S&OP processes, businesses can ensure their inventory is working efficiently to meet customer needs and drive overall performance. Now is the time to review your inventory management practices to ensure they are aligned with your strategic goals and market demands. To explore how these optimisation strategies can transform your business, get in touch with our team today and see how we can help you align your inventory management with your broader business objectives. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? Hide Toolbar Duration Only for this session 24 hours A Week Not Now Hide Toolbar Select your accessibility profile Vision Impaired Mode Enhances website's visuals Seizure Safe Profile Clear flashes & reduces colour ADHD Friendly Mode Focused browsing, distraction-free Blindness Mode Reduces distractions, improves focus Epilepsy Safe Mode Dims colours and stops blinking Content Modules Font Size + Default - Readable Font Line Height + Default - Cursor Letter Spacing Align Text Font Weight Colour Modules Light Contrast High Contrast Monochrome Orientation Modules Reading Line Reading Mask Hide Images Highlight Content Stop Animations Highlight Links Skip To Content Choose... Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "From Automation to Autonomy - neos by Argon & Co" source_url: "https://neosbyargonandco.com/from-automation-to-autonomy" page_path: "/from-automation-to-autonomy" page_type: "generic" crawled_at: "2026-09-23T13:44:13Z" content_changed_at: "2026-09-23T13:44:13Z" content_unchanged_days: 0 observed_days: 0 --- From Automation to Autonomy - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read From Automation to Autonomy How Agentic AI Is Evolving in Supply Chain Planning Diane Jordan August 14, 2026 For years, supply chain technology has been evolving steadily. What began as task-based automation - eliminating manual steps and speeding up repetitive processes - grew into orchestration , where technology started coordinating workflows and helping planners connect the dots across functions. Now, a new chapter is emerging: Agentic AI . Unlike past generations of AI, Agentic AI introduces capabilities that can act more independently, recommending - and in some cases taking - actions based on complex, real-time data. But where does Agentic AI truly fit within supply chain planning today? Here's how to think about it. From Automation -> Orchestration -> Agentic AI Automation : -> Eliminates repetitive tasks -> Speeds up manual work (e.g., data entry, report generation) Orchestration : -> Connects processes across supply, demand, production, and distribution -> Supports planners with recommendations and workflow coordination Agentic AI : -> Interprets data, generates scenarios, and recommends actions in near real-time -> Supports exception management, risk mitigation, and decision acceleration -> Acts semi-independently, within guardrails defined by humans Agentic AI doesn't replace automation or orchestration - it builds on them , bringing a higher level of intelligence and proactivity to supply chain decision making. Where Agentic AI Can Deliver Value Today While full autonomy is still a future goal, Agentic AI is already delivering value in key planning areas: Scenario Generation -> Quickly simulates multiple scenarios based on supply/demand shifts Exception Management -> Flags issues and suggests resolutions before planners even realize there's a problem Decision Recommendations -> Offers guided options based on objectives (e.g., lowest cost, fastest delivery) Risk and Opportunity Identification -> Surfaces patterns and trends that humans may overlook In each of these cases, the human remains in the loop - validating, adjusting, and providing oversight as AI augments their role. Finding the Right Balance: Autonomy with Oversight Agentic AI has the power to accelerate decision making, reduce manual effort, and improve responsiveness - but trust takes time. That's why leading organizations are introducing Agentic AI in controlled, crawl-walk-run stages , with clear guardrails and human approval processes. AI's role today is not to replace planners, but to act as an intelligent partner - turning mountains of data into meaningful insights, and helping people make better, faster decisions with confidence. The Bottom Line: Understand the Role, Seize the Opportunity Agentic AI fits into supply chain planning as the next evolution of intelligence and enablement. Not as a replacement for humans - but as a force multiplier for their knowledge, experience, and judgment. Companies that embrace Agentic AI thoughtfully - building readiness first, then layering in autonomy with oversight - will be positioned to react faster, plan smarter, and ultimately outmaneuver their competition. Agentic AI is here. The question is: how will you use it to reshape the way you plan? Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "From Data Overload to Data Insight: Prioritizing What Matters in Supply Chain AI - neos by Argon & Co" source_url: "https://neosbyargonandco.com/from-data-overload-to-data-insight-prioritizing-what-matters-in-supply-chain-ai" page_path: "/from-data-overload-to-data-insight-prioritizing-what-matters-in-supply-chain-ai" page_type: "generic" crawled_at: "2026-09-23T13:44:16Z" content_changed_at: "2026-09-23T13:44:16Z" content_unchanged_days: 0 observed_days: 0 --- From Data Overload to Data Insight: Prioritizing What Matters in Supply Chain AI - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read From Data Overload to Data Insight: Prioritizing What Matters in Supply Chain AI Diane Jordan April 16, 2026 In today's AI-driven supply chains, it's easy to fall into the trap of thinking "more data equals better results." With the explosion of data sources-from IoT sensors and ERP systems to supplier portals and customer feedback-there is no shortage of information to feed AI algorithms. But in supply chain planning, drowning in data without a clear strategy can do more harm than good. AI thrives on quality and relevance , not just quantity. Overwhelming your AI models with every available data point-regardless of its accuracy, timeliness, or context-creates noise that clouds insights, wastes processing power, and leads to unreliable recommendations. Why More Data Isn't Always Better for AI in Supply Chains Supply chains inherently produce complex, multi-layered data. Consider all the variables involved: Customer demand fluctuations across regions and channels Inventory levels across multiple warehouses and stages Supplier reliability and lead time variability Production capacity and constraints Transportation schedules and disruptions External factors like weather, geopolitical events, or market trends Feeding AI systems all these data streams indiscriminately might seem thorough. However, not all data points have equal predictive value or relevance to your planning objectives. Furthermore, inconsistent or low-quality data can confuse algorithms, skew forecasts, and produce conflicting or misleading insights. For example, if your demand data is riddled with manual adjustments or delayed updates, an AI model trained on that data will struggle to accurately predict future orders. Similarly, if supplier lead times aren't updated to reflect recent delays, AI-generated replenishment plans will be off target. How to Identify and Prioritize the Data That Matters 1. Clarify Your Business Objectives Start with the end in mind. Are you focused on improving forecast accuracy, optimizing inventory turns, reducing stockouts, or improving on-time delivery? Different goals require different data inputs. For example, optimizing inventory requires clean master data (items, lot sizes, reorder points) and accurate supplier lead times. Improving forecast accuracy leans heavily on reliable demand signals and seasonality data. 2. Map Critical Data Elements to Use Cases Break down your key supply chain processes and identify which data points directly influence decisions. Master data such as Bill of Materials (BOM), routings, and product hierarchies form the backbone of planning. Demand signals from point-of-sale or order management systems influence forecasting. Supplier performance metrics affect procurement decisions. Focusing your AI efforts on high-impact data reduces complexity and improves model performance. 3. Establish Data Quality Standards Regularly assess your data sources for completeness, accuracy, consistency, and timeliness. Implement data cleansing routines to address duplicates, missing values, or outdated records. For example, standardizing item codes and descriptions prevents confusion across systems and facilitates reliable aggregation. 4. Apply Business Context to Raw Data Raw data without context can mislead. A sudden spike in sales may be a true market trend or a one-time promotion. AI systems perform better when enriched with business rules and metadata that help interpret anomalies or seasonality effects. For instance, tagging demand data with promotion periods or marketing campaigns enables AI to differentiate between baseline demand and promotional uplift. 5. Integrate and Streamline Data Flows Connect disparate systems (ERP, MES, warehouse management, supplier portals) to ensure data flows are automated, synchronized, and structured for analysis. This reduces latency and manual intervention, giving AI models the freshest possible data. Consider implementing a master data management (MDM) system or data lake architecture to centralize and govern data effectively. 6. Foster Cross-Functional Collaboration Data ownership should not rest solely with IT. Supply chain planners, procurement, sales, and finance teams must collaborate to define, validate, and maintain the data sets that feed AI. This shared accountability promotes data stewardship and continuous improvement. The Benefits of Prioritizing the Right Data When your AI models work with well-curated, high-quality data aligned to your business goals, the results are powerful: More accurate forecasts that reduce safety stock and avoid stockouts Optimized inventory positioning across multi-echelon networks Improved scenario planning that weighs trade-offs effectively Faster, more confident decision-making driven by actionable insights AI becomes a true partner-not just an automated black box-helping planners navigate complexity and uncertainty. Final Thought: Quality Over Quantity is the Key to Supply Chain AI Success The promise of AI in supply chain planning is huge. But without prioritizing meaningful data, AI's potential goes unrealized or worse, causes confusion and costly errors. Before you invest in new AI tools, take a step back and ask: Which data really moves the needle on my planning goals? How can I ensure that data is accurate, timely, and consistent? What processes and governance do I need to sustain data quality over time? Answering these questions is the foundation for turning data overload into data insight-and fueling AI success that lasts. If you'd like help evaluating your data readiness or prioritizing key data elements for AI, let's talk. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "From Disruption to Evolution: How AI Is Redefining Roles in the Supply Chain - neos by Argon & Co" source_url: "https://neosbyargonandco.com/from-disruption-to-evolution-how-ai-is-redefining-roles-in-the-supply-chain" page_path: "/from-disruption-to-evolution-how-ai-is-redefining-roles-in-the-supply-chain" page_type: "generic" crawled_at: "2026-09-23T13:44:19Z" content_changed_at: "2026-09-23T13:44:19Z" content_unchanged_days: 0 observed_days: 0 --- From Disruption to Evolution: How AI Is Redefining Roles in the Supply Chain - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read From Disruption to Evolution: How AI Is Redefining Roles in the Supply Chain Diane Jordan April 2, 2026 The AI transformation is no longer hypothetical-it's happening across supply chains. And while most conversations focus on technology and systems, there's a more urgent conversation to be had: What happens to the people? As AI begins to take on more routine tasks-automating forecasts, simulating scenarios, and identifying anomalies-the roles of supply chain professionals are shifting. But this isn't about replacement. It's about reimagining what supply chain work looks like, and how we prepare people for what's next. Why It Matters Now AI adoption is ramping up. In planning, logistics, and procurement, machine learning and automation are eliminating lag time and enabling faster decisions. But this progress comes with big questions: How do employees transition when AI starts doing part of their job? What happens to tribal knowledge? Are we helping teams evolve-or leaving them behind? These questions aren't theoretical. In many organizations, planners are already using AI-augmented tools. They're still needed-but their role is changing. Less manual reconciliation, more scenario evaluation. Less firefighting, more strategic alignment. What's Changing in the Role Yesterday's Planner Tomorrow's Planner Data wrangler (Excel-heavy) Decision-maker (AI-assisted) Firefighter Risk navigator Siloed team member Cross-functional collaborator Backward-looking Scenario-oriented Task executor Value driver This doesn't happen all at once. Most transformations start with hybrid roles-where AI handles the heavy lifting, and people are responsible for judgment, trade-offs, and cross-functional coordination. It's Not About Replacement-It's About Evolution AI is taking over tasks, not talent. The organizations that succeed won't be the ones that reduce headcount-they'll be the ones that reinvest in their people. That includes: Training teams to interpret AI insights and challenge the output Expanding roles to include financial or ESG context Encouraging a more strategic, systems-level mindset Done right, AI doesn't make people less relevant-it makes them more valuable . Who Thrives in an AI-Augmented Supply Chain? Not everyone will thrive equally in this transition. Here's the difference: Those Who Struggle: Rely solely on legacy tools or tribal knowledge Resist learning new systems or approaches Expect status quo instead of preparing for change See AI as a threat rather than a tool Those Who Succeed: Proactively upskill and learn adjacent domains Use AI insights to ask smarter questions Embrace cross-functional problem solving Stay curious, open, and adaptive What You Can Ask of Your Employer Today If you want to stay ahead of the curve: Ask for training opportunities in AI tools, data literacy, and scenario planning Seek cross-training with finance, operations, or customer service teams Get involved in tech pilots, data cleanup, or planning workshops Request visibility into the company's transformation roadmap The supply chain workforce of the future won't be defined by who can do tasks the fastest-it'll be defined by who can make the smartest decisions, with the best tools, at the right time. And that transformation? It starts now. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "From Excel to Insight: The Skills Supply Chain Teams Will Need in the Age of AI" source_url: "https://neosbyargonandco.com/from-excel-to-insight-the-skills-supply-chain-teams-will-need-in-the-age-of-ai" page_path: "/from-excel-to-insight-the-skills-supply-chain-teams-will-need-in-the-age-of-ai" page_type: "generic" crawled_at: "2026-09-23T13:44:23Z" content_changed_at: "2026-09-23T13:44:23Z" content_unchanged_days: 0 observed_days: 0 --- From Excel to Insight: The Skills Supply Chain Teams Will Need in the Age of AI Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read From Excel to Insight: The Skills Supply Chain Teams Will Need in the Age of AI Diane Jordan November 22, 2025 As AI becomes a daily part of supply chain operations, the most valuable supply chain employees won't be the ones who can manage spreadsheets the fastest. They'll be the ones who can interpret, communicate, and lead with insight. This shift isn't about replacing one tool with another-it's about changing how work gets done and what skills are truly valued. What's Changing? Before: Mastery of Excel Deep knowledge of ERP workflows Task execution accuracy Data gathering from multiple systems Now and next: Comfort working with AI-generated outputs Ability to interpret variance and risk Cross-functional communication and decision alignment Strategic thinking with a commercial lens 5 Skills on the Rise Here are the capabilities supply chain professionals will need to thrive as AI becomes more integrated into planning and execution: 1. Decision Contextualization AI can flag a demand spike-but it can't always explain the "why." The ability to interpret patterns in a business context (new product, promotion, channel shift, geopolitical event) becomes essential. 2. Cross-Functional Fluency As silos break down, planners and analysts need to speak the language of finance, sales, and operations. Alignment isn't a one-time event-it's a continuous process. Being the connector is now a differentiator. 3. Data Storytelling Simply showing a dashboard isn't enough. Leaders want to know: What changed? Why? And what's the recommendation? The ability to present insights clearly and persuasively will matter more than raw data manipulation. 4. Agility and Continuous Learning AI tools evolve fast. So do expectations. The best planners aren't static-they learn new platforms quickly, adapt their workflows, and continuously explore better ways to add value. 5. Scenario Thinking As planning becomes more dynamic, supply chain professionals must move from single-plan thinking to scenario-based planning: modeling options, understanding trade-offs, and preparing for "what if" before it happens. What About Technical Skills? Yes, technical skills still matter. But they're shifting. In place of spreadsheet mastery, employees will benefit from: Comfort with planning platforms (APS, IBP, TMS, etc.) Understanding how AI models work-without needing to code Ability to guide data improvements (knowing what data matters, and why) Familiarity with APIs, integrations, and connected data environments The Takeaway AI isn't just reshaping supply chain systems-it's reshaping the supply chain workforce. The employees who thrive in this new environment won't be the ones who know everything -they'll be the ones who know how to ask the right questions, communicate clearly, and help their organizations move forward faster. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "From Pit to Port: Closing the Gaps in Mine-to-Market Planning - neos by Argon & Co" source_url: "https://neosbyargonandco.com/from-pit-to-port-closing-the-gaps-in-mine-to-market-planning" page_path: "/from-pit-to-port-closing-the-gaps-in-mine-to-market-planning" page_type: "generic" crawled_at: "2026-09-23T13:44:26Z" content_changed_at: "2026-09-23T13:44:26Z" content_unchanged_days: 0 observed_days: 0 --- From Pit to Port: Closing the Gaps in Mine-to-Market Planning - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read From Pit to Port: Closing the Gaps in Mine-to-Market Planning Diane Jordan March 9, 2026 The mining and metals industry, moving product from pit to port isn't just a logistics task - it's a strategic opportunity. When the pieces of your operation are aligned, the result is speed, efficiency, and margin protection. When they aren't, the costs quietly accumulate in delays, idle inventory, and reactive decisions. While most mining operations focus heavily on extraction efficiency, the real friction often occurs after the material is out of the ground. Disconnected planning across processing, inventory, logistics, and export functions can erode performance and profitability over time. At Scott Sheldon, we work with mining companies to integrate these processes and create true end-to-end visibility and control. Here's how. The Reality of Fragmented Planning Mining supply chains are uniquely complex. You're managing everything from excavation and processing to multi-modal transport - often across remote locations. And yet, these parts of the chain are often optimized in isolation. We frequently encounter challenges like: Production plans that don't match logistics availability Excess inventory build up at transfer points or terminals Limited visibility between upstream and downstream functions Difficulty adjusting quickly to weather, labor, or market volatility The issue isn't a lack of capability - it's a lack of connection. What a Connected "Pit to Port" Supply Chain Looks Like High-performing mining companies are transforming their supply chains by aligning operations across functions, supported by tools and processes that promote visibility and responsiveness. Here's what that transformation typically involves: 1. Integrated Supply and Logistics Planning Linking production schedules with transportation capacity and customer delivery windows to ensure material flows efficiently through the value chain. 2. Scenario Planning for Disruption Modeling multiple "what if" cases helps teams respond proactively to external shocks - from commodity swings to infrastructure outages. 3. Inventory Visibility Across All Sites Maintaining real-time insight into stock levels across mines, terminals, blending yards, and ports supports smarter fulfillment and reduces working capital. 4. Collaborative Partner Planning Transport providers, terminals, and port operators are integrated into planning workflows, reducing miscommunication and improving service reliability. A Real-World Example Scott Sheldon recently partnered with a large U.S.-based producer of construction aggregates and heavy building materials to address these very challenges. This organization operates dozens of sites across multiple regions, each with their own production schedules and planning tools - but without a unified framework to connect them. Through our work, we implemented an integrated planning model that linked demand forecasting, inventory management, and regional supply planning. The outcomes included: Greater accuracy in forecasts and site-level planning Reduced inventory holding costs through better alignment Improved collaboration between operations, logistics, and commercial teams This engagement not only streamlined operations - it laid the foundation for advanced planning capabilities and long-term supply chain agility. Conclusion Mining supply chains don't break down in a single place - they fall short in the spaces between disconnected systems and teams. Success in today's market requires more than operational excellence at individual sites. It demands an integrated approach that connects production, logistics, inventory, and distribution into one cohesive strategy. By closing the gaps from pit to port, mining companies gain more than efficiency - they build the agility and insight needed to compete in an increasingly dynamic and resource-constrained world. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "From Reaction to Resilience: It's Time for Proactive Supply Chain Risk Management - neos by Argon & Co" source_url: "https://neosbyargonandco.com/from-reaction-to-resilience-its-time-for-proactive-supply-chain-risk-management" page_path: "/from-reaction-to-resilience-its-time-for-proactive-supply-chain-risk-management" page_type: "generic" crawled_at: "2026-09-23T13:44:30Z" content_changed_at: "2026-09-23T13:44:30Z" content_unchanged_days: 0 observed_days: 0 --- From Reaction to Resilience: It's Time for Proactive Supply Chain Risk Management - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read From Reaction to Resilience: It's Time for Proactive Supply Chain Risk Management Diane Jordan May 8, 2026 For too long, supply chain risk management has meant reacting to disruption after it happens. A supplier misses a shipment? Scramble. A port shuts down? Re-route and expedite. A forecast swings wildly? Re-plan-again. But in today's environment of constant volatility, this approach isn't just exhausting-it's unsustainable. It's time to shift from reaction to resilience . That means embracing risk management as a core planning discipline , not just a crisis response function. The Problem: Disruption Isn't an Exception-It's the Default Whether it's geopolitical tension, extreme weather, cyber threats, or supplier instability, supply chains are under constant pressure. And while we can't predict every disruption, we can build systems, processes, and mindsets that are designed to absorb and adapt. Unfortunately, many organizations still rely on spreadsheets, static contingency plans, and siloed decision-making. These tools might help in yesterday's world-but they aren't built for today's pace of change. What Resilience Really Looks Like Resilience isn't about having a backup plan-it's about having the capability to respond intelligently in real time. That requires: Scenario Planning: Being able to ask "What if?" and get answers quickly Cross-Functional Visibility: Aligning operations, finance, procurement, and commercial teams Network Awareness: Understanding upstream and downstream risk across your supply base and logistics channels Decision Agility: Knowing your options-and the trade-offs-before disruption hits The most resilient supply chains don't wait to be disrupted. They simulate, sense, and act- before the damage is done. The Shift: From Crisis Mode to Continuous Readiness Here's the mindset shift: Old approach: "Let's build a plan and hope it holds." New approach: "Let's continuously test our assumptions and prepare for multiple futures." This shift doesn't require perfect data or futuristic AI. It starts with: A culture that values risk identification and cross-functional transparency Tools that enable scenario modeling and decision support Leaders who see planning as a competitive differentiator-not just a monthly ritual Building Blocks for Proactive Risk Management If you're looking to evolve your approach, focus on these areas: Create a risk register tied to key nodes in your supply chain Incorporate risk-based inputs into your S&OP/IBP process Use scenario planning tools to evaluate the impact of disruptions Align risk responses with business priorities (service levels, cash, margin) Make it a loop , not a one-time exercise-review and refresh regularly Final Thought: Resilience Isn't Passive-It's Planned The next disruption isn't a matter of if , but when . The companies that thrive will be those that stop treating risk management like insurance and start embedding it into how they plan, act, and grow. Reactive supply chains recover. Resilient supply chains adapt. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "From Reactive to Proactive Planning in Medical Device Supply Chains - neos by Argon & Co" source_url: "https://neosbyargonandco.com/from-reactive-to-proactive-planning-in-medical-device-supply-chains" page_path: "/from-reactive-to-proactive-planning-in-medical-device-supply-chains" page_type: "generic" crawled_at: "2026-09-23T13:44:33Z" content_changed_at: "2026-09-23T13:44:33Z" content_unchanged_days: 0 observed_days: 0 --- From Reactive to Proactive Planning in Medical Device Supply Chains - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read From Reactive to Proactive Planning in Medical Device Supply Chains Diane Jordan May 2, 2026 Most medical device supply chains were not designed to be reactive. They became reactive over time. It rarely happens all at once. There is no single moment where an organization decides to abandon planning and operate in a constant state of response. Instead, it is a gradual shift. A series of small adjustments made in good faith, each one solving an immediate problem, but collectively pulling the organization further away from how planning was intended to work. A delay in supply leads to an expedite. A shift in demand triggers a last minute transfer. A shortage at a key location requires manual intervention. Each decision is rational. Each action is necessary. But over time, the pattern becomes clear. Planning is no longer shaping the business. The business is constantly reacting to itself. How Reactivity Becomes the Operating Model The move toward reactive planning is not driven by poor execution. It is driven by increasing complexity. Demand in medical device supply chains does not behave in a smooth, predictable way. It moves with procedures, patient volumes, and local dynamics that are difficult to anticipate with precision. At the same time, supply is subject to variability, whether from manufacturing constraints, supplier disruptions, or logistics challenges. Layer on top of that the constant evolution of the product portfolio. New products are introduced. Existing ones are updated or phased out. Adoption varies by region, by facility, and often by individual physician preference. In this environment, the distance between what is planned and what actually happens begins to grow. At first, that gap is manageable. Teams adjust. They make corrections. They step in to keep things on track. But as complexity increases, those adjustments become more frequent. What was once the exception becomes the norm. Over time, the organization adapts not by improving the plan, but by becoming better at responding when the plan inevitably falls short. Reactivity becomes embedded in how the business operates. The Subtle Cost of Always Responding On the surface, reactive planning can appear effective. Issues are resolved. Customers are supported. The system continues to function. But beneath that surface, the cost accumulates. Decisions are made under pressure, often without full visibility into their broader impact. Inventory is moved to solve immediate problems, sometimes creating new ones elsewhere. Expedited shipments become routine rather than the exception. Inventory levels rise, not as a strategic choice, but as a safeguard against uncertainty. Perhaps most importantly, confidence in the plan begins to erode. When teams expect the plan to change, they stop relying on it. They turn to their own data, their own judgment, and their own processes. The organization fragments, not because people are working against each other, but because they are working without a shared, trusted foundation. In a medical device context, the implications extend beyond cost and efficiency. Product availability directly affects procedures, schedules, and ultimately patient care. The margin for error is smaller, and the consequences are more visible. Why Proactive Planning Is So Difficult to Achieve If the limitations of reactive planning are well understood, the question becomes obvious. Why is it so difficult to move beyond it? The answer lies in how planning is structured. Proactive planning is often misunderstood as simply better forecasting. But even the most accurate forecast cannot eliminate variability. Demand will still shift. Supply will still change. The unexpected will still occur. What proactive planning actually requires is the ability to understand and respond to that variability before it turns into disruption. That means having visibility not just into what is happening, but into how changes in one part of the supply chain will impact others. It means being able to evaluate tradeoffs between service, cost, and risk before decisions are made, rather than after consequences appear. Most organizations have elements of this capability. But they are often disconnected. Demand planning operates in one space. Supply planning in another. Inventory decisions are made separately. By the time information moves across these boundaries, the opportunity to act proactively has already passed. A Different Way to Think About Planning The organizations that are making progress are not eliminating complexity. They are changing how they engage with it. They are moving away from the idea that planning is about creating a static, correct view of the future. Instead, they are treating planning as an ongoing process of evaluating options, understanding implications, and making informed decisions as conditions evolve. The focus shifts. From asking, "What is the plan?" To asking, "What is the best decision, given what we know right now?" That shift does not remove uncertainty. But it changes how uncertainty is managed. Instead of reacting to issues after they occur, organizations begin to anticipate where they are most likely to arise. Instead of relying on buffers and workarounds, they make intentional choices about how to position inventory, allocate supply, and prioritize demand. Planning becomes less about prediction and more about preparation. What Proactive Planning Feels Like in Practice When planning becomes more proactive, the difference is not always dramatic at first. There is no single moment where everything changes. Instead, the organization begins to feel more controlled. Decisions are made with greater awareness of their impact. Teams spend less time reconciling conflicting priorities and more time aligning around shared objectives. The need for constant intervention begins to decline. Issues still occur. That is unavoidable in any complex supply chain. But they are less disruptive, because they are better understood. The organization is no longer chasing problems as they emerge. It is prepared to respond to them. Closing Thought Reactive planning is not a failure. It is a natural response to complexity. But it is not where organizations want to remain. The companies that move forward are the ones that recognize that planning must evolve alongside the supply chain itself. They invest not just in better plans, but in better ways of making decisions. Because in medical device supply chains, success is not defined by how quickly you can react. It is defined by how well you are prepared. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "From Survival to Success: How FMCG Businesses Can Thrive in 2025 - neos by Argon & Co" source_url: "https://neosbyargonandco.com/from-survival-to-success" page_path: "/from-survival-to-success" page_type: "generic" crawled_at: "2026-09-23T13:44:37Z" content_changed_at: "2026-09-23T13:44:37Z" content_unchanged_days: 0 observed_days: 0 --- From Survival to Success: How FMCG Businesses Can Thrive in 2025 - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read From Survival to Success: How FMCG Businesses Can Thrive in 2025 Turning survival mode into sustainable growth through smarter operations, continuous improvement, and practical AI adoption. admin February 4, 2025 As we look forward to 2025 the outlook for business are improving. Many businesses in 2024 were focused on the "survive till 2025" mindset, controlling costs and avoiding discretionary spend. Very few though forgot about the consumer/customer and the need to continue to serve, surprise and delight with excellent product, service and pricing. Most FMCG businesses will be looking to return to better margin positions in 2025 and indications are favourable that this is achievable. The inflation beast has been tamed, so interest rates have fallen and are predicted to drop further (albeit not by a huge amount) through 2025. Business sentiment is on the rebound. Consumer confidence is at its highest level for two years, which in turn improves business confidence. Whilst the signs are positive, navigating from the survival mindset to a thrive mindset doesn't happen without intent. So, what are some helpful tips to consider as FMCG businesses transition into what should be a period of growth, and importantly how to create value and embed sustainable profitability. Here are some areas to consider and explore: Align operations to execute your business strategy Plan to drive profitable growth Unlock, deliver and celebrate quick wins Create and embed a continuous improvement culture AI: Proof of Value Align operations to execute your business strategy Operations is where the rubber hits the road for your business strategy. Are your operational teams involved in the key decisions as you launch new products, drive innovation, review range, pricing and promotional plans? If not, they should be. They operationalise strategy, plans and tactics into reality. Get them onboard early and you will realise value faster and more effectively. Plan to drive profitable growth Continue your focus on productivity. 2024 taught most to drive efficiency through their existing business operating model as very few invested in capital options due to the cost of borrowing. With more capital projects likely in 2025 remember and retain the behaviours that got you through 2024. Growth should be profitable, but if not done correctly it can cost you as bottlenecks, capacity constraints, people/process/system capability gets challenged. Plan it out, assess your readiness to change, model outcomes, test and learn and integrate your teams to ensure success is embedded and sustained. Unlock, deliver and celebrate quick wins With large scale transformations and major capital projects (infrastructure, digital, automation) likely back on the cards for 2025 don't forget to capture value on the way through. There is no better way to drive and sustain a transformation than getting runs on the board early, celebrating the success and showing yourselves, your teams and your customers that you are driving change in the right way. Create and embed a continuous improvement culture Adopt lean techniques and tools, adapt them to your business, your team and ways of working. They are proven globally over many decades and stand true today as fundamental to value creation and growth mindsets. Build and nurture this capability in your leaders and teams - and most importantly don't stop....it is called continuous for a reason. AI: Proof of Value Is it possible to write an article on trends and predictions for 2025 without referencing AI? Probably not. It is here, it is real, and it can and should be super valuable. It can also be daunting to know where to start and some have spent lots of money or time for little benefit. Our recent survey of the Food & Grocery sector told us that 74% of businesses have or are planning to invest in Generative AI over the next 3 years. AI adoption is no longer polarised by age group - we are all giving it a go. Get clear on your use cases for AI, where and how it can add value, reduce repetitive tasks, provide deeper more holistic insight. Start small, build it, proof the value, then keep going. As businesses shift from survival mode to sustainable growth, now is the time to take action. Which of these focus areas will drive the most value for your business in 2025? The team at neos by Argon & Co is here to help-let's start the conversation. Contact us today Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Gartner(R) Market Guide for Supply Chain Planning Solutions System Integrators - neos by Argon & Co" source_url: "https://neosbyargonandco.com/gartner-market-guide-for-supply-chain-planning-solutions-system-integrators" page_path: "/gartner-market-guide-for-supply-chain-planning-solutions-system-integrators" page_type: "generic" crawled_at: "2026-09-23T13:44:40Z" content_changed_at: "2026-09-23T13:44:40Z" content_unchanged_days: 0 observed_days: 0 --- Gartner(R) Market Guide for Supply Chain Planning Solutions System Integrators - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Gartner(R) Market Guide for Supply Chain Planning Solutions System Integrators Julia Roberts July 15, 2026 We are pleased to share that we are listed in the new Gartner(R) Market Guide for Supply Chain Planning Solutions System Integrators. Gartner, Inc. Market Guide for Supply Chain Planning Solutions System Integrators. Julia von Massow, Brenda Westbrook. 8 July 2026. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Home - neos by Argon & Co" source_url: "https://neosbyargonandco.com/" page_path: "/" page_type: "home" crawled_at: "2026-09-23T13:41:05Z" content_changed_at: "2026-09-23T13:41:05Z" content_unchanged_days: 0 observed_days: 0 --- Home - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co Building Smarter Supply Chains with Technology From strategy to execution OUR partners We support end-to-end supply chain capabilities through partnerships with industry-leading technology providers including SAP, Kinaxis, Anaplan, and Relex. View More Who We Are We are a supply chain consulting firm built by practitioners who understand both operational reality and enterprise systems. We partner with you to integrate end-to-end supply chain technology that fits real-world operations, drives adoption, and delivers measurable results. OUR services Practical, end-to-end supply chain services that connect strategy, technology, and real-world operations We work alongside you to design, implement, integrate, and optimize supply chain solutions that improve visibility, decision-making, and day-to-day performance. Planning Turning planning from routine tasks into integrated, strategic decisions Procurement From transactional buying to resilient, value-creating partnerships Manufacturing Building reliable, responsive manufacturing operations Logistics Delivering reliable fulfillment while optimizing cost-to-serve Bringing the right technologies to connect your supply chain, tailored for your industry Bringing the right technologies to connect your supply chain, tailored for your industry. Bringing the right technologies to connect your supply chain, tailored for your industry. industries We speak your language because we understand your industry. Life Sciences High-Tech Consumer Goods Mining & Resources Retail Industrial Manufacturing VIEW ALL case studies Real Results 01 Kinaxis Implementation for Apex Tools Group LEARN MORE 01 Global Design Optimization for Rubbermaid LEARN MORE 01 Strategic Healthcare Distribution Network Solutions for Owens & Minor LEARN MORE 01 Optimizing Supply Chain Performance See how NEOS helps X organization improve supply chain planning, integrate technology platforms, and streamline operations to deliver measurable improvements in efficiency, service levels, and financial performance across... LEARN MORE frequently asked questions What makes neos different from other supply chain consulting firms? We bring together deep supply chain expertise with practical technology delivery. Our team is built by practitioners who understand real operations, and we focus on making the right systems actually work in your business across planning, procurement, manufacturing, and logistics, so you achieve measurable results rather than just a completed implementation. Do you provide hosting and ongoing platform and application support? Yes. We offer a comprehensive suite of managed services, ranging from extended application support and cloud infrastructure support to fully outsourced supply chain planning as a service. What is Planning as a Service? Planning As a Service is a partnership model in which neos becomes part of your planning team. We provide external perspective and hands-on expertise to strengthen your demand and supply planning - while also stewarding your planning platform - so your planning capability continues to mature and deliver measurable business value over time. How do neos and Argon & Co work together? As part of Argon & Co, neos translates supply chain strategy into real-world results. Argon & Co leads on advisory and transformation, and neos delivers the technology and execution that make it work in your business. What's the advantage of working with a firm focused only on supply chain? Supply chain sits at the heart of business performance, shaping service to customers, cost, and resilience, and getting it right or wrong can make or break results. Because it's all we do, we bring deeper domain insight and practical expertise than generalist firms, and we understand how supply chain choices impact finance, operations, and the customer experience across your business. Do you support global supply chain programs? Yes. We work with clients around the world and deliver programs across multiple regions, combining local expertise with a consistent global approach so you get both global scale and practical, in-market execution. How do you choose the right technology for our business? We start with your business goals, operating model, and industry realities rather than the software. From there, we assess options with you and recommend platforms that fit your needs, maturity, and how you actually operate. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "How AI Is Changing the Daily Work of Supply Chain Roles-One Task at a Time" source_url: "https://neosbyargonandco.com/how-ai-is-changing-the-daily-work-of-supply-chain-roles-one-task-at-a-time" page_path: "/how-ai-is-changing-the-daily-work-of-supply-chain-roles-one-task-at-a-time" page_type: "generic" crawled_at: "2026-09-23T13:44:44Z" content_changed_at: "2026-09-23T13:44:44Z" content_unchanged_days: 0 observed_days: 0 --- How AI Is Changing the Daily Work of Supply Chain Roles-One Task at a Time Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read How AI Is Changing the Daily Work of Supply Chain Roles-One Task at a Time Diane Jordan May 5, 2026 When people hear that AI is coming to the supply chain, the reaction is often binary: "It's going to replace jobs" or "It's just a tool-we'll still do everything." The truth? It's something in between. AI is already reshaping how work gets done- not by replacing entire roles overnight , but by gradually transforming individual tasks. Forecasting, exception handling, data validation, and even KPI reporting are increasingly automated or AI-augmented. The result? The core tasks of many supply chain roles are shifting-and that means the skills and focus of those roles are shifting too. Let's Look at a Real Example: The Demand Planner Here's what the role might have looked like in 2020 vs. what it's trending toward in 2025 and beyond: Daily Tasks in 2020 Daily Tasks in 2025+ Manually collecting forecast inputs Reviewing AI-generated baseline forecast Rebuilding plans in Excel after new sales data Collaborating in a live, connected planning system Reconciling forecast vs. actual manually Investigating forecast variance flagged by AI Running ad hoc scenarios Comparing auto-suggested scenarios side-by-side Updating reports manually Approving and annotating real-time dashboards These changes aren't hypothetical-they're already happening in companies that have adopted modern planning platforms or are piloting AI enhancements. So, What's Being Automated? Across roles in planning, procurement, logistics, and inventory management, certain types of tasks are consistently being picked up by AI or automated workflows: Data Aggregation : Pulling data from multiple sources is now done by systems, not humans Variance Detection : AI flags anomalies in demand, supply, or inventory without waiting for monthly reports Scenario Simulation : No more modeling in spreadsheets-"what-if" analysis is now a point-and-click exercise Exception Alerts : Systems surface the biggest risks so planners can act sooner Forecast Baselines : AI creates the first draft; humans adjust based on market context This doesn't remove the planner-it elevates the planner. So, What Stays Human? The tasks that remain human-led tend to fall into these categories: Interpretation : Explaining why a forecast or scenario is trending a certain way Judgment : Choosing between options based on risk, relationships, or context Collaboration : Working across teams to align supply, finance, sales, and service Strategy : Connecting the dots between operations and long-term business goals Change Leadership : Helping the organization adapt to new planning models A New Daily Rhythm The shift toward AI-augmented roles doesn't just change what tasks are done-it changes how people spend their day . Expect fewer hours in Excel, more time interpreting insights. Fewer manual updates, more cross-functional problem solving. Less chasing data, more driving value. That's a win-but only if companies prepare people for it. The Takeaway AI won't eliminate jobs tomorrow-but it is already changing how those jobs are done today . Leaders who recognize this shift and guide their teams through it will have a major advantage. And employees who embrace it-those who lean into the higher-value work, ask better questions, and collaborate more broadly-will become the most critical assets in a modern supply chain. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "How to Build a Business Case for Advanced Supply Chain Planning - neos by Argon & Co" source_url: "https://neosbyargonandco.com/how-to-build-a-business-case-for-advanced-supply-chain-planning" page_path: "/how-to-build-a-business-case-for-advanced-supply-chain-planning" page_type: "generic" crawled_at: "2026-09-23T13:44:47Z" content_changed_at: "2026-09-23T13:44:47Z" content_unchanged_days: 0 observed_days: 0 --- How to Build a Business Case for Advanced Supply Chain Planning - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read How to Build a Business Case for Advanced Supply Chain Planning A Mid-Market Guide to Securing Buy-In, Budget, and Results Diane Jordan May 26, 2026 You know your supply chain planning process is under strain. The spreadsheets aren't cutting it. Your ERP is too rigid. And your team is spending more time reacting than planning. But before you can implement a modern planning solution, you need something else first: executive buy-in . Here's how to build a strong, defensible business case that gets leadership aligned and ready to invest. Step 1: Link Planning Challenges to Strategic Goals Don't start with software features-start with business impact . Tie your planning pain points to what your executive team cares about: Missed service levels -> Lost revenue Excess inventory -> Working capital strain Manual firefighting -> Reduced productivity Poor forecasting -> Higher supply chain costs "Companies that digitize planning processes see a 20% reduction in inventory and **up to 15% improvement in service levels." - Gartner, Supply Chain Planning Guide 2023 Step 2: Quantify the Cost of Doing Nothing A powerful business case doesn't just show the ROI of change-it shows the cost of inaction . Consider the hidden costs: Labor hours wasted reconciling data across spreadsheets Expedited freight from last-minute adjustments Lost margin from excess or obsolete stock Fire-drill planning and executive escalations According to McKinsey, 45% of a company's EBITDA could be at risk over a decade due to supply chain shocks (McKinsey, 2020). Even conservative estimates of these losses often justify the investment in modern planning tools. Step 3: Identify a High-Impact Starting Point Don't try to solve everything at once. Focus on a single area with high visibility and high pain, such as: Inventory optimization Demand forecasting Supply and capacity planning This targeted approach aligns with a crawl-walk-run strategy , which is ideal for mid-market businesses. Start small, show results quickly, and expand once you've proven value. Step 4: Show How the Solution Fits Into Your Existing Tech Stack Mid-market executives often worry about cost, complexity, and disruption. Show that you're not suggesting a rip-and-replace-you're proposing a modular enhancement to your current ERP. Highlight: Integration capability with ERP and CRM Speed to deploy and learn Scalable architecture (start small, grow as needed) Best-of-Breed tools are built specifically to overlay existing systems and deliver value within months, not years . Step 5: Estimate ROI (Even If It's Directional) Use conservative, defensible estimates to project the return on investment. Consider: Labor savings from automation Reduced working capital tied up in inventory Margin protection from better service levels Lower cost-to-serve with better forecasting Even a 5% inventory reduction across a $50M supply chain is worth $2.5M in tied-up capital-and that's just one lever. According to Bain & Co., top-performing companies gain 2-3x ROI from investments in supply chain digitization (Bain, 2022). Step 6: Align the Team Around the Investment Executive teams aren't just looking for numbers-they're looking for alignment. Build the business case in collaboration with stakeholders in: Finance (for ROI) Operations (for process improvement) IT (for integration and scalability) Commercial teams (for forecast accuracy and responsiveness) Present the solution as an enabler of enterprise goals , not just a supply chain fix. Final Takeaway Your team knows the planning process needs to evolve. Building the right business case is how you turn that knowledge into action, budget, and results . Start small, tie it to business value, and show how the investment pays off-fast. Coming Soon: Planning Readiness Checklist to Support Your Case Want help structuring your internal pitch? Schedule a 30-minute strategy call Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "How to Build a More Resilient Mining Supply Chain - neos by Argon & Co" source_url: "https://neosbyargonandco.com/how-to-build-a-more-resilient-mining-supply-chain" page_path: "/how-to-build-a-more-resilient-mining-supply-chain" page_type: "generic" crawled_at: "2026-09-23T13:44:51Z" content_changed_at: "2026-09-23T13:44:51Z" content_unchanged_days: 0 observed_days: 0 --- How to Build a More Resilient Mining Supply Chain - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read How to Build a More Resilient Mining Supply Chain Turning volatility into a competitive advantage through smarter planning and stronger execution. Diane Jordan March 10, 2026 From geopolitical shocks to climate disruption, from supplier instability to labor shortages - supply chains in the mining and metals industry are being tested like never before. For companies that extract, process, and move critical materials across global networks, the stakes have never been higher. The difference between those who survive and those who thrive in this environment isn't who can avoid disruption - it's who can respond to it faster, smarter, and more cost-effectively . That's the definition of supply chain resilience. And in mining, building that resilience starts with rethinking how you plan, operate, and adapt across every link of the chain. Why Resilience Matters More in Mining Mining supply chains are long, capital-intensive, and geographically dispersed - making them uniquely vulnerable to risk. A single breakdown at a remote site or a delayed vessel at port can cascade into weeks of disruption. Add to that: Highly volatile demand driven by global commodity cycles Complex multi-modal transport (rail, truck, barge, ocean) Limited supplier options and long lead times for critical parts and inputs Environmental and ESG constraints that limit operational flexibility Industry Insight: McKinsey estimates that companies can lose up to 45% of one year's EBITDA over a decade due to supply chain shocks alone. Resilience isn't about avoiding disruption - it's about being prepared, being visible, and being agile . The Four Pillars of Supply Chain Resilience in Mining 1. End-to-End Visibility You can't manage what you can't see. True resilience starts with the ability to monitor production, inventory, and logistics in real time - especially across remote and distributed operations. Benefits: Faster response to weather, equipment, or labor disruptions Improved coordination between sites, HQ, and third-party partners Proactive alerts that enable timely resource reallocation Tip: Control tower dashboards with live data feeds and exception-based alerts allow mining planners to make decisions in minutes-not days. 2. Integrated Scenario Planning In a volatile market, static plans are obsolete the moment they're created. Resilient mining operations rely on dynamic models that simulate multiple disruption scenarios. Benefits: Stress-test supply plans against demand or supply-side shocks Quantify trade-offs between cost, service, and risk Make decisions based on data-driven projections Tip: Use planning platforms that model "what-if" scenarios for rail delays, port congestion, weather events, or supplier shortfalls-and recommend real-time responses. 3. Strategic Buffering and Material Flow in a Remote Environment In mining, inventory isn't limited to finished goods. It includes: Run-of-mine stockpiles Intermediate products (e.g., concentrates, refined metals) MRO parts essential for keeping high-value equipment running Bulk inputs like fuel, explosives, and process chemicals Remote operations face long lead times and limited redundancy. Overstocking can strain capacity and working capital. Understocking results in production downtime or high-cost emergency shipments. Benefits: Prevents downtime from material or part shortages Reduces costly emergency logistics events Supports consistent flow of materials from pit to port Tip: Use inventory segmentation and dynamic buffering to distinguish critical-path stock from low-risk items - optimizing for cost and reliability. Industry Insight: Mining Journal Intelligence reports that 60% of unplanned production delays stem from inadequate inventory planning for spares or consumables. Example: A global copper miner centralized spare parts planning using consumption and lead-time analytics. Results: 22% fewer emergency shipments and 15% higher asset uptime. 4 . Cross-Functional Coordination Resilience breaks down in silos. When planning, logistics, procurement, and operations operate with different data or priorities, delays, finger-pointing, and missed opportunities follow. Benefits: Faster, aligned response to disruptions Greater trust across departments and partners Shared KPIs that drive collaborative performance Tip: Equip cross-functional teams with planning tools that deliver a shared source of truth, role-specific dashboards, and integrated workflows. The Resilience Payoff Companies that invest in these capabilities don't just protect against disruption - they outperform during it. According to EY: Resilient supply chains restore full operations 2 faster They maintain higher customer service levels through volatility They often gain market share when competitors struggle to respond Strategic Insight: Resilience isn't just a defensive capability - it's a growth enabler. The ability to adapt faster than others is a durable, long-term advantage. Conclusion: Build for the Inevitable Disruption in mining isn't a matter of if - it's when, how severe, and whether you're ready. A resilient supply chain doesn't eliminate uncertainty. It absorbs it. Adapts to it. And emerges stronger on the other side. Companies that prepare in advance - by investing in visibility, scenario planning, inventory strategy, and cross-functional coordination - don't just reduce risk. They lead. Citations & Sources McKinsey & Company - Risk, Resilience, and Rebalancing in Global Supply Chains EY - Supply Chain in Mining and Metals: Creating Resilience Deloitte - Tracking the Trends 2023: Supply Chain Readiness in Mining Mining Journal Intelligence - Global Operational Risk Benchmarking Report Gartner - Future of Supply Chain Planning: Disruption-Ready Operations Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Industries - neos by Argon & Co" source_url: "https://neosbyargonandco.com/industries" page_path: "/industries" page_type: "generic" crawled_at: "2026-09-23T13:44:54Z" content_changed_at: "2026-09-23T13:44:54Z" content_unchanged_days: 0 observed_days: 0 --- Industries - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co Industries Supply chain solutions built for real world complexity. Life Sciences Highly regulated environments, strict service requirements, and complex product portfolios make supply chain performance critical across life sciences. Greater visibility across inventory, production, and distribution, combined with aligned planning and execution, enables faster response to demand while maintaining compliance, control, and consistent service levels in high-stakes environments. LEARN MORE High-Tech Short product lifecycles, component constraints, and demand volatility create constant pressure across high-tech supply chains. Improved visibility from suppliers through production and fulfillment, along with aligned materials, inventory, and delivery decisions, supports more resilient operations, reduces risk, and enables more successful product launches in fast-moving markets. LEARN MORE Consumer Goods Frequent product changes, promotions, shifting demand patterns, and rising transportation costs make supply chains in consumer goods increasingly complex. Better use of demand signals and retailer data improves forecasting, inventory positioning, and transportation decisions, helping control costs while maintaining service levels and responsiveness across distribution and retail channels. LEARN MORE Mining & Resources Volatility in markets, transportation constraints, and operational complexity challenge mining and metals supply chains from extraction through delivery. Greater visibility and coordination across production, transportation, and logistics improve decision making, reduce delays, and support more efficient performance from mine to market. LEARN MORE Retail Changing consumer expectations, seasonal demand swings, and fulfillment pressures require retailers to operate with speed and precision across the supply chain. Stronger coordination across inventory, distribution, and store operations ensures the right products are in the right place at the right time, improving responsiveness, reducing stockouts, and supporting better customer outcomes. LEARN MORE Industrial Manufacturing Material shortages, supplier variability, and cost pressures create ongoing disruption across industrial manufacturing supply chains. Improved coordination across suppliers, production, and distribution, combined with stronger planning and visibility, enables more resilient operations that reduce risk, control costs, and maintain consistent performance in dynamic environments. LEARN MORE Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Consumer Goods - neos by Argon & Co" source_url: "https://neosbyargonandco.com/industries/consumer-goods" page_path: "/industries/consumer-goods" page_type: "generic" crawled_at: "2026-09-23T13:44:58Z" content_changed_at: "2026-09-23T13:44:58Z" content_unchanged_days: 0 observed_days: 0 --- Consumer Goods - neos by Argon & Co Skip to content Building Smarter Supply Chains Consumer Goods Consumer Goods Frequent product changes, promotions, shifting demand patterns, and rising transportation costs make supply chains in consumer goods increasingly complex. Better use of demand signals and retailer data improves forecasting, inventory positioning, and transportation decisions, helping control costs while maintaining service levels and responsiveness across distribution and retail channels. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "High-Tech - neos by Argon & Co" source_url: "https://neosbyargonandco.com/industries/high-tech" page_path: "/industries/high-tech" page_type: "generic" crawled_at: "2026-09-23T13:45:02Z" content_changed_at: "2026-09-23T13:45:02Z" content_unchanged_days: 0 observed_days: 0 --- High-Tech - neos by Argon & Co Skip to content Building Smarter Supply Chains High-Tech High-Tech Short product lifecycles, component constraints, and demand volatility create constant pressure across high-tech supply chains. Improved visibility from suppliers through production and fulfillment, along with aligned materials, inventory, and delivery decisions, supports more resilient operations, reduces risk, and enables more successful product launches in fast-moving markets. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Industrial Manufacturing - neos by Argon & Co" source_url: "https://neosbyargonandco.com/industries/industrial-manufacturing" page_path: "/industries/industrial-manufacturing" page_type: "generic" crawled_at: "2026-09-23T13:45:06Z" content_changed_at: "2026-09-23T13:45:06Z" content_unchanged_days: 0 observed_days: 0 --- Industrial Manufacturing - neos by Argon & Co Skip to content Building Smarter Supply Chains Industrial Manufacturing Industrial Manufacturing Material shortages, supplier variability, and cost pressures create ongoing disruption across industrial manufacturing supply chains. Improved coordination across suppliers, production, and distribution, combined with stronger planning and visibility, enables more resilient operations that reduce risk, control costs, and maintain consistent performance in dynamic environments. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Life Sciences - neos by Argon & Co" source_url: "https://neosbyargonandco.com/industries/life-sciences" page_path: "/industries/life-sciences" page_type: "generic" crawled_at: "2026-09-23T13:45:11Z" content_changed_at: "2026-09-23T13:45:11Z" content_unchanged_days: 0 observed_days: 0 --- Life Sciences - neos by Argon & Co Skip to content Building Smarter Supply Chains Life Sciences Life Sciences Highly regulated environments, strict service requirements, and complex product portfolios make supply chain performance critical across life sciences. Greater visibility across inventory, production, and distribution, combined with aligned planning and execution, enables faster response to demand while maintaining compliance, control, and consistent service levels in high-stakes environments. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Mining & Resources - neos by Argon & Co" source_url: "https://neosbyargonandco.com/industries/mining-resources" page_path: "/industries/mining-resources" page_type: "generic" crawled_at: "2026-09-23T13:45:15Z" content_changed_at: "2026-09-23T13:45:15Z" content_unchanged_days: 0 observed_days: 0 --- Mining & Resources - neos by Argon & Co Skip to content Building Smarter Supply Chains Mining & Resources Mining & Resources Volatility in markets, transportation constraints, and operational complexity challenge mining and metals supply chains from extraction through delivery. Greater visibility and coordination across production, transportation, and logistics improve decision making, reduce delays, and support more efficient performance from mine to market. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Retail - neos by Argon & Co" source_url: "https://neosbyargonandco.com/industries/retail" page_path: "/industries/retail" page_type: "generic" crawled_at: "2026-09-23T13:45:18Z" content_changed_at: "2026-09-23T13:45:18Z" content_unchanged_days: 0 observed_days: 0 --- Retail - neos by Argon & Co Skip to content Building Smarter Supply Chains Retail Retail Changing consumer expectations, seasonal demand swings, and fulfillment pressures require retailers to operate with speed and precision across the supply chain. Stronger coordination across inventory, distribution, and store operations ensures the right products are in the right place at the right time, improving responsiveness, reducing stockouts, and supporting better customer outcomes. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Inventory Strategy in Medical Devices: It's Not How Much. It's Where. - neos by Argon & Co" source_url: "https://neosbyargonandco.com/inventory-strategy-in-medical-devices-its-not-how-much-its-where" page_path: "/inventory-strategy-in-medical-devices-its-not-how-much-its-where" page_type: "generic" crawled_at: "2026-09-23T13:45:23Z" content_changed_at: "2026-09-23T13:45:23Z" content_unchanged_days: 0 observed_days: 0 --- Inventory Strategy in Medical Devices: It's Not How Much. It's Where. - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Inventory Strategy in Medical Devices: It's Not How Much. It's Where. Diane Jordan April 25, 2026 Most medical device companies are not short on inventory. They are short on the right inventory, in the right place, at the right time . Inventory sits in one part of the network while demand materializes somewhere else. Critical products are unavailable where procedures are happening, while excess builds up in manufacturing sites or distribution centers. From a distance, the numbers may look right. In practice, the network is out of balance. The issue is not how much inventory exists. It is how that inventory is positioned. Why Placement Is So Difficult to Get Right Medical device supply chains are inherently complex, but not just because of scale. The challenge comes from how demand actually behaves. Unlike many industries, demand is closely tied to procedures, patient volumes, and physician preference. It shifts by region, by facility, and often with very little notice. At the same time, product portfolios are constantly evolving, with new introductions, updates, and phase outs happening in parallel. Now layer in how inventory is distributed. Products are not held in a single location. They are spread across manufacturing sites, distribution centers, field locations, and often inside hospitals themselves through consignment models. On paper, inventory exists. In reality, it is not always where it needs to be. That gap between availability and accessibility is where the problem lives. The Hidden Cost of Misalignment When inventory is in the wrong place, the organization compensates. Teams expedite shipments to meet urgent needs. Inventory is transferred between locations. Planners and operations teams step in to manually resolve shortages. Over time, these actions become normalized. They are seen as part of the job rather than symptoms of a deeper issue. At the same time, inventory levels quietly increase. More stock is added as a buffer against uncertainty, but without addressing the root cause. The result is a network that carries more inventory than necessary, yet still struggles to meet demand reliably. In a medical device environment, the stakes are higher. Product availability is not just a service metric. It directly impacts procedures, outcomes, and patient care. Why Traditional Planning Approaches Fall Short Many planning processes were built for more stable environments. They rely on aggregated forecasts, static targets, and periodic updates. That approach assumes demand patterns are relatively predictable and that inventory can be managed in broad strokes. That assumption does not hold in medical device supply chains. Demand shifts quickly and often at a local level. The tradeoffs between service and inventory are not static, and decisions made in one part of the network ripple across others. By the time traditional planning cycles catch up, the situation has already changed. This is why so many organizations find themselves reacting. The plan may have been right at one point in time, but it no longer reflects reality. A Different Way to Think About Inventory The companies making progress are not simply trying to improve forecasts or increase inventory. They are changing the question. Instead of asking, "Do we have enough inventory?" They are asking, "Is our inventory positioned where it needs to be?" That shift changes everything. Inventory becomes something that is actively positioned across the network, not just accumulated. Decisions are made with location in mind, balancing service requirements, cost, and risk. As demand shifts, inventory is adjusted accordingly, rather than waiting for issues to surface. This is not about perfection. It is about improving alignment between where demand occurs and where supply is available. What Changes When Placement Improves When inventory is positioned more effectively, the impact is noticeable across the organization. The need for expedites and last minute transfers begins to decline. Inventory levels stabilize because they are no longer being used as a blanket buffer. Planning and operations teams spend less time reacting and more time making informed decisions. Most importantly, product availability improves where it matters most. Not just somewhere in the network, but at the point of care. From Reaction to Intention For many medical device companies, the challenge is not recognizing these issues. They experience them every day. The challenge is breaking the cycle. When teams are constantly responding to shortages and shifting inventory, there is little room to step back and rethink how the system should work. But the organizations that do make that shift move from reactive firefighting to intentional planning. They begin to anticipate where inventory needs to be before demand occurs, rather than chasing it after the fact. Closing Thought Inventory strategy in medical devices is not about how much you carry. It is about where it sits. And for organizations willing to rethink how inventory is planned and positioned across their network, that shift can unlock meaningful improvements in service, cost, and overall performance. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Is Your Supply Chain Ready for Agentic AI? - neos by Argon & Co" source_url: "https://neosbyargonandco.com/is-your-supply-chain-ready-for-agentic-ai" page_path: "/is-your-supply-chain-ready-for-agentic-ai" page_type: "generic" crawled_at: "2026-09-23T13:45:26Z" content_changed_at: "2026-09-23T13:45:26Z" content_unchanged_days: 0 observed_days: 0 --- Is Your Supply Chain Ready for Agentic AI? - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Is Your Supply Chain Ready for Agentic AI? How to Build a Strong Foundation for Success Diane Jordan August 10, 2026 AI in supply chain planning is moving fast. While automation and orchestration have already started transforming how companies operate, Agentic AI represents a new frontier - one where AI can act more independently, helping planners navigate complexity and make better decisions, faster. But with great promise comes great responsibility. Before Agentic AI can deliver value, your organization must be ready. At Scott Sheldon, we believe readiness isn't just about technology. It's about people, processes, and governance working together to support AI-driven decision making . Here's how to assess if your organization is ready for Agentic AI. 1. Data Integrity Must Be Solid Agentic AI depends on high-quality data to produce meaningful and trustworthy outcomes. If your supply chain data is incomplete, inconsistent, or poorly maintained, AI won't magically fix it - it will amplify the chaos. Checklist: Is your planning data accurate, complete, and up to date? Do you have data stewardship processes in place? Are key data elements standardized and governed? 2. Clear and Aligned Processes Are Non-Negotiable AI thrives on structure. If your supply chain planning processes are ad hoc or vary by planner or region, Agentic AI will struggle to deliver consistent and explainable recommendations. Checklist: Are planning workflows clearly defined and documented? Is there cross-functional alignment on decision points? Have exceptions and escalation paths been standardized? 3. Technology and Integration Should Enable, Not Hinder Agentic AI works best in environments where planning platforms, data sources, and analytics tools are connected and accessible. Checklist: Is your planning technology modern and AI-enabled? Can data flow seamlessly between systems? Are you able to test and deploy AI features without heavy IT lift? 4. People Must Understand Their Role in the AI-Enhanced Future Agentic AI is not about replacing planners - it's about enhancing their decision-making capabilities. Change management and user adoption are critical. Checklist: Have planners been educated on what AI will (and won't) do? Is there buy-in from leadership and planning teams? Do you have training and support plans to build confidence and trust? 5. Governance and Change Management Must Be in Place As AI becomes more agentic, proper governance ensures decisions align with business goals and risk tolerance. Checklist: Are AI-supported decisions reviewed and approved during early phases? Do you have guidelines on when human oversight is required? Is there a plan to monitor AI outputs and refine models over time? The Bottom Line: Don't Skip Readiness Agentic AI offers incredible potential - but only when built on a strong foundation. Preparing your organization today will not only ensure you unlock AI's benefits faster, but also help avoid common pitfalls that come from poor data, unclear processes, or misaligned expectations. Agentic AI is not something you buy and turn on. It's something you build toward. Is your organization ready? Scott Sheldon can help assess, guide, and prepare your supply chain for this next step in AI-enabled planning. Contact us to start your AI readiness journey. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Kinaxis Planning One is Right Sized for Your Mid-Sized Company - neos by Argon & Co" source_url: "https://neosbyargonandco.com/kinaxis-planning-one-is-right-sized-for-your-mid-sized-company" page_path: "/kinaxis-planning-one-is-right-sized-for-your-mid-sized-company" page_type: "generic" crawled_at: "2026-09-23T13:45:34Z" content_changed_at: "2026-09-23T13:45:34Z" content_unchanged_days: 0 observed_days: 0 --- Kinaxis Planning One is Right Sized for Your Mid-Sized Company - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Kinaxis Planning One is Right Sized for Your Mid-Sized Company Understanding the Needs of Mid-Sized Companies Diane Jordan July 31, 2026 Mid-sized companies have unique supply chain planning needs that differ significantly from those of larger corporations. Operating with limited resources and budgets, these companies require solutions tailored specifically to their distinct requirements. One of the primary challenges mid-sized companies face is balancing inventory levels with customer demand. They must ensure they have sufficient inventory to meet customer orders while minimizing excess inventory and the associated costs. This delicate balance is crucial for maintaining profitability and customer satisfaction. Another critical consideration is the ability to respond swiftly to changes in customer demand and market conditions. Mid-sized companies often operate in dynamic industries where demand can fluctuate rapidly. They need a supply chain planning solution that enables them to adapt and respond in real-time, ensuring they can meet customer expectations and capitalize on emerging opportunities. Additionally, the supply chain planning process for mid-sized companies involves multiple stakeholders, including suppliers, distributors, and customers. Effective collaboration and communication among these parties are essential for aligning goals and streamlining operations. A robust supply chain planning solution must facilitate this coordination, ensuring all stakeholders are on the same page. Understanding these specific needs, Kinaxis Planning One has been designed to address the unique challenges faced by mid-sized companies. It provides an efficient, right-sized supply chain planning solution that helps these companies balance inventory levels, respond to market changes swiftly, and enhance collaboration among all stakeholders. By leveraging Kinaxis Planning One, mid-sized companies can optimize their supply chain operations and achieve sustainable growth. Key Features of Kinaxis Planning One Kinaxis Planning One offers a range of key features that are tailored to the needs of mid-sized companies. These features include: Demand planning: Kinaxis Planning One allows companies to forecast customer demand accurately and create demand plans that drive the supply chain planning process. Inventory optimization: The solution helps mid-sized companies optimize their inventory levels by considering factors such as lead times, demand variability, and service level targets. Production planning: Kinaxis Planning One enables companies to create production plans that balance customer demand with production capacity and constraints, ensuring efficient and effective production scheduling. Supply planning: The solution helps companies optimize their supply plans by considering factors such as supplier lead times, capacity constraints, and supplier performance. Collaboration and communication: Kinaxis Planning One provides a platform for collaboration and communication among stakeholders, allowing for real-time sharing of information and alignment of plans. These key features of Kinaxis Planning One enable mid-sized companies to improve their supply chain planning processes, reduce costs, and enhance customer service. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Kinaxis Planning One - neos by Argon & Co" source_url: "https://neosbyargonandco.com/kinaxis-planning-one" page_path: "/kinaxis-planning-one" page_type: "generic" crawled_at: "2026-09-23T13:45:30Z" content_changed_at: "2026-09-23T13:45:30Z" content_unchanged_days: 0 observed_days: 0 --- Kinaxis Planning One - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co Kinaxis Planning One Supply Chain Planning for mid-sized & emerging enterprises. Meet Kinaxis The Power of Kinaxis, right-sized for your business. Agility is critical to survive in today's ever-evolving global market. You need 24/7 visibility into what your supply chain is doing across demand, supply, inventory and operations, empowering you to quickly respond to disruptions and opportunities with confidence. Meet Maestro(TM) by Kinaxis Maestro (TM) by Kinaxis is the game-changer to fully orchestrate your supply chain. Expedite your Maestro implementation with Planning One, Kinaxis' low-cost, low-risk way to get started. The neos team are experts on this AI-infused platform - we'll guide your team through the change management process to achieve operational efficiencies, better collaborate in real-time, and improve inventory management, address cost pressures and more. Supply chain orchestration empowers today's supply chain leaders to synchronize data, people, and processes all in one place, harmonizing the supply chain so you're prepared to handle any disruption, change or opportunity. Value Managing supply chain complexity through spreadsheets and aged technology is inefficient and overwhelming. Kinaxis modernizes processes so your demand, supply, inventory and operations will always be connected and synced in real-time, so you can achieve true supply chain concurrency. Solve Real Problems, Today Excessive Inventory Avoid tying up capital in too much inventory, impacting cash flow. Optimize inventory levels, reducing waste and ensuring efficient storage and resource management. Operational Inefficiencies Adopt smarter forecasting and production planning with AI-enhanced tools to accurately manage inventory, supply, and demand in one place. Collaborate faster across departments to take aligned action. Pressure to Balance Cost Reduction and Growth With Kinaxis, examine root cause analyses, use KPI-driven dashboards, balance P&L and more while generating roadmaps to support business expansion, ensuring sustainable growth. Negative Customer Impacts Don't lose a customer to a competitor or degrade a relationship. Improve on-time, in-full (OTIF) delivery. Avoid expedited freight, stockouts, late deliveries and more with improved forecast accuracy. Lack of Agility and Future-Readiness Boost resiliency to quickly adapt to changes and make more accurate decisions, faster. Ensure your supply chain is always aligned with business goals and best positioned to handle growth or disruptions. Features With Kinaxis and neos, you'll unlock the power of supply chain orchestration for a more efficient, agile supply chain. We will guide you through an actionable change management process tailored to your business. As the only partner specialized in the full suite of Kinaxis tools and its Solution Extensions, we empower your team to get the most from Maestro's supply chain orchestration capabilities. Kinaxis Planning One Brochure Demand Planning Market volatility and data quality are likely two of your biggest hurdles in demand planning, making it difficult to create realistic, adaptable forecasts. Maestro(TM) helps you stop guessing and start planning with confidence. Supply Planning Do you experience material and capacity constraints that don't align with your demand plans? Gaps in supply and demand stem from a lack of visibility. Maestro(TM) provides the agility to execute your plans all the way down to the shop floor. Inventory Management Data inaccuracy, frequent stockouts and high costs are all symptoms of poor inventory management. Struggling to balance trade-offs between on-time delivery, revenue risk and inventory? We can help you develop targeted inventory improvement solutions with Maestro(TM). Operational Planning Keeping your business profitable in today's volatile environment is a challenge. You want to set financial targets, measure performance, identify gaps and minimize risk but don't know where to start. Align strategic, tactical and operational plans with Maestro(TM). Control Tower Struggling to see the full picture of your siloed supply chain? Reacting too late to critical issues? Maestro(TM) allows you to take control over what's happening across your supply chain with a real-time view of your entire ecosystem. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Kinaxis - neos by Argon & Co" source_url: "https://neosbyargonandco.com/kinaxis-tech-partners" page_path: "/kinaxis-tech-partners" page_type: "generic" crawled_at: "2026-09-23T13:56:06Z" content_changed_at: "2026-09-23T13:56:06Z" content_unchanged_days: 0 observed_days: 0 --- Kinaxis - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co Kinaxis Supply Chain Planning for mid-sized & emerging enterprises. Meet Kinaxis The Power of Kinaxis, right-sized for your business. Supply chains do not change one function at a time. A shift in demand can affect supply, capacity, inventory, customer commitments and financial performance simultaneously. Traditional planning processes often evaluate these effects sequentially, creating delays when the business needs answers quickly. Kinaxis Maestro(R) brings demand, supply, inventory and operational planning together through concurrency, allowing teams to understand the implications of change, evaluate alternatives and make decisions while there is still time to influence the outcome. Neos combines deep supply chain expertise with proven Kinaxis implementation, integration and application development capabilities. Together, neos and Kinaxis enable organizations to use Maestro not simply as a planning system, but as a foundation for faster decision making, more responsive planning and broader supply chain orchestration. neos + Kinaxis Make the most of your investment in supply chain orchestration. Authorized Value-Added Kinaxis Reseller Platinum Certified Implementation Partner 2023 Kinaxis Partner of the Year World-Class Customer Experience Center Premier Training Partner Specialized Industry Expertise Value Proposition From sequential planning to concurrent decision making. Kinaxis Maestro synchronizes planning across functions and time horizons, allowing teams to evaluate change without waiting for one planning process to finish before another begins. neos translates that capability into practical value by designing the processes, models and decision structures required to improve planning performance, accelerate response and support better business outcomes. Learn more about Kinaxis Planning One Identify supply and demand misalignment sooner Continuously evaluate changes in demand, supply, inventory and capacity within a synchronized planning environment. Teams can recognize emerging gaps earlier and address them before they affect production, customer service or financial performance. Understand the broader impact of a proposed change See how a planning decision in one area affects the rest of the supply chain. Kinaxis Maestro allows teams to assess the implications for materials, capacity, inventory, customer commitments and other operational priorities before implementing a change. Evaluate multiple scenarios quickly Model alternative responses while conditions are still developing. Planners can compare feasible scenarios using current supply chain data, understand the consequences of each option and determine which response best supports the organization's priorities. Balance service, cost, capacity and inventory tradeoffs Evaluate competing objectives within the same planning environment instead of optimizing one function at the expense of another. Teams can make tradeoffs more explicitly and select plans that better support overall business performance. Align operational and financial plans Translate changes in demand, supply and capacity into their financial implications. This gives supply chain and business leaders a shared view of the assumptions, constraints and expected outcomes behind the plan. Respond to disruption with greater speed and confidence When conditions change, quickly identify what is affected, evaluate available options and coordinate the appropriate response. Concurrent planning reduces delays created by sequential analysis and gives decision makers greater confidence in the actions they take. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "How Local Optimization Creates Supply Chain Network Drift" source_url: "https://neosbyargonandco.com/local-optimization-supply-chain-network-drift" page_path: "/local-optimization-supply-chain-network-drift" page_type: "generic" crawled_at: "2026-09-23T13:45:37Z" content_changed_at: "2026-09-23T13:45:37Z" content_unchanged_days: 0 observed_days: 0 --- How Local Optimization Creates Supply Chain Network Drift Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read When Local Optimization Creates Network Drift Why individually sound decisions can gradually move the supply chain away from the outcomes the enterprise needs. Diane Jordan September 17, 2026 A pharmaceutical manufacturer is facing rising costs and declining service. Each function responds in a way that makes sense. Procurement negotiates larger commitments to reduce material prices. Manufacturing lengthens production campaigns to improve asset utilization and reduce changeovers. Planning increases safety stock to protect service. Warehousing raises storage density to delay a capital investment. Transportation consolidates shipments to lower freight costs. Over time, nearly every functional scorecard improves. The enterprise does not. Inventory rises. Products spend longer in storage and face greater expiry risk. Longer production campaigns make it harder to respond when demand shifts among markets. Warehouse congestion slows material movement. Consolidated shipments extend replenishment cycles, leading planners to increase buffers further. Expediting grows as the organization tries to preserve service. No single decision created the outcome. Each decision was reasonable when judged within the function where it was made. The problem emerged through their interaction. This is Network Drift: the gradual movement of a supply chain away from the configuration and operating state that best support the enterprise's objectives. Local improvement is not always enterprise improvement Most organizations assign accountability by function. Procurement manages material cost and supplier performance. Manufacturing manages output, quality and efficiency. Warehousing manages capacity, productivity and accuracy. Transportation manages cost and service. Planning balances demand, supply and inventory. This structure creates depth and clear ownership. It also encourages each function to improve what it can directly control. For many years, local improvement was a reasonable proxy for enterprise improvement. Lower purchase prices generally improved economics. Longer production runs generally reduced manufacturing costs. Fuller trucks generally made transportation more efficient. Those relationships have become less predictable as supply chains have grown more complex and interdependent. The value of a longer production campaign now depends on demand volatility, shelf life, material availability, customer priorities, warehouse capacity and the alternative use of the production line. A larger supplier commitment may lower unit cost while increasing inventory, working capital and exposure to demand changes. A consolidated shipment may reduce freight cost while extending replenishment time and increasing the need for buffer stock. The local decision may still achieve its intended result. The wider consequences can offset or exceed its benefit. Network performance therefore cannot be understood by adding together a set of improving functional measures. It emerges from the relationships among decisions. Drift can begin inside or outside the organization Network Drift does not require a poor decision. It can develop because internal choices change the network, because external conditions change what the network needs to be or because both occur at the same time. Internal drift develops through the cumulative effect of decisions. A sourcing commitment changes flexibility. A production policy changes inventory and response time. A service promise changes capacity requirements. A capital decision changes the options available to the network later. Each choice affects not only an immediate outcome but also the conditions under which subsequent decisions will be made. External drift occurs when the supply chain remains largely unchanged while the environment around it moves. Demand may grow in a region poorly served by the existing distribution footprint. Product mix may become more volatile. Transportation, labor or energy costs may change the economics of the network. A market that was once secondary may become strategically important. New regulatory requirements may alter sourcing, production or inventory needs. None of these conditions must arrive as a dramatic disruption. The supply chain can continue operating while the gap between its current configuration and the configuration best suited to current conditions gradually widens. Sometimes the network moves away from the preferred state. Sometimes the preferred state moves away from the network. In both cases, the organization may not recognize the divergence until it appears in customer, financial or operational results. Functional scorecards rarely reveal the complete picture Traditional performance systems are designed to evaluate the health of individual functions and assets. That information remains essential, but it does not necessarily reveal whether their decisions fit together. A plant may achieve its utilization target while producing inventory the network does not need. A distribution center may improve storage density while reducing the speed and reliability of material movement. Procurement may deliver purchase-price savings while increasing cash requirements and supply risk. The measures are not wrong. They are incomplete when used to judge enterprise contribution. This distinction becomes even more important when different nodes within the same functional network are expected to play different roles. One plant may be designed for efficient, high-volume production. Another may maintain flexible capacity for volatile demand. A third may support product launches, regulated markets or regional resilience. The flexible plant may have lower utilization and higher unit cost, but those results do not necessarily indicate poor performance. They may reflect the role the plant is intended to play. Warehousing follows the same logic. A national distribution center may prioritize scale and density, while a regional facility supports faster response. Another location may handle postponement, customization or returns. Applying the same definition of efficiency to every facility can make each node look better while weakening the fulfillment network. The relevant question is not whether every node is optimized by the same standard. It is whether each node is performing the role the network requires and whether those roles remain aligned with enterprise priorities. Network Drift develops across nested levels Optimization occurs at several levels. An organization can improve an individual asset, configure the assets within a function as a coherent network and coordinate the interactions among functional networks. Each level can appear healthy while the level above it deteriorates. A factory may perform well while the manufacturing network is poorly configured. The manufacturing network may perform well while creating problems for inventory, logistics or working capital. The supply chain may achieve its operational objectives while becoming less capable of supporting the company's growth strategy. Network Drift can therefore occur when: A node moves away from its intended role A functional network becomes misaligned with changing demand or economics An effective functional network no longer supports the broader enterprise Decisions across several networks combine to create an unintended result This nested view changes how performance should be interpreted. A capability can be healthy in isolation while its contribution to the enterprise declines. Leaders need visibility into both. Continuous evaluation does not mean continuous change Recognizing Network Drift does not imply that the supply chain should be redesigned each time conditions move. Networks naturally operate with some degree of divergence. The cost and disruption of intervention may be greater than the value of closing a small gap. In other cases, the organization may deliberately preserve an apparent inefficiency because it protects flexibility, resilience or future growth. The capability that must become continuous is evaluation, not reconfiguration. Smaller gaps may be addressed by adjusting inventory placement, production allocation, supplier shares or transportation frequency. The appropriate response may also be to monitor the condition and wait for better evidence. Structural changes, such as adding a supplier, changing plant capacity or opening a distribution center, become appropriate when the value of closing the gap justifies the investment and disruption. This requires the organization to distinguish among a temporary variance, an emerging pattern and a structural change. Traditional review cycles and static network studies can struggle to make that distinction early enough. Detect drift through decisions and assumptions Network Drift cannot be identified through operational events alone. The organization must also monitor the assumptions and decisions shaping the network. A production policy may still be executed correctly even though the demand profile that justified it has changed. A distribution footprint may continue meeting service targets while the cost of doing so steadily rises. A sourcing strategy may appear successful until a change in product mix exposes a flexibility constraint. The organization needs to understand: Which assumptions support important decisions Which conditions would make those assumptions less valid How local actions affect choices elsewhere When several small changes combine into a material enterprise consequence Whether the current network still supports strategic priorities This is where Intelligent Network Operations extends beyond exception management. It can relate changes in demand, cost, capacity, inventory and service to the decisions and assumptions they affect. Decision Intelligence can then evaluate the wider consequences and determine whether the condition calls for an operational adjustment, further monitoring or a more structural response. AI can help examine more signals and relationships than people can follow unaided. Planning, optimization and simulation can calculate feasible alternatives and quantify tradeoffs. Human leaders remain responsible for determining objectives, setting action boundaries and deciding when the evidence justifies change. Change the management question Traditional performance reviews ask whether a function or decision achieved its intended result. Network Drift requires a broader question: How did this decision change the choices and operating conditions available to the rest of the enterprise? A sourcing agreement produces a price outcome, but it may also change flexibility. A service commitment may create revenue while consuming scarce capacity. A production decision may reduce cost while increasing inventory and response time. Evaluating these wider effects does not make functional expertise less important. It changes how that expertise contributes to the enterprise. Leaders remain responsible for the health of their functions, but they also become stewards of the consequences their decisions create elsewhere. Decision rights, measures and governance should reflect the reach, reversibility and risk of those consequences. The goal is not to prevent local optimization. It is to ensure that local intelligence contributes to a coherent enterprise result. Move from accidental outcomes to deliberate tradeoffs Supply chains cannot maximize service, cost, cash, growth, resilience and flexibility at the same time. Tradeoffs are unavoidable. Network Drift occurs when those tradeoffs are settled indirectly through the accumulation of functional decisions rather than deliberately at the appropriate level of the organization. Intelligent Network Operations gives organizations a way to recognize when those decisions are beginning to pull the network away from its objectives. It expands the context available before action is taken and preserves evidence about what happened afterward. That capability will not eliminate uncertainty or disagreement. It can, however, make the tradeoffs visible sooner, clarify who should decide and help the organization respond before individually rational choices become a collective failure. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Logistics - neos by Argon & Co" source_url: "https://neosbyargonandco.com/logistics" page_path: "/logistics" page_type: "generic" crawled_at: "2026-09-23T13:45:41Z" content_changed_at: "2026-09-23T13:45:41Z" content_unchanged_days: 0 observed_days: 0 --- Logistics - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co Logistics that adapts at the speed of disruption Partner with neos to build warehouse, transportation, and fulfillment operations that adapt as conditions change. Logistics Every day, logistics operations balance moving parts that never stop. Shifting transportation conditions. Inventory positions that change by the hour. Labor availability varies by shift. Customer expectations that only rise. Strong logistics depends on technology and processes that help teams see what is happening across the network, make faster decisions, and keep goods moving even when conditions do not cooperate. WMS, TMS, and modern logistics platforms are built for exactly this. They improve coordination across the network, reduce manual effort, and help logistics teams balance labor, inventory, cost, and service as conditions change through the day. The goal is not just automation. It is operations that adapt in real time and get ahead of disruption instead of reacting to it. Neos partners with logistics leaders to make that real. We bring decades of hands-on experience inside live warehouses, distribution centers, and transportation networks. That operational view shapes everything we do, from system selection through implementation and into the day-to-day work of keeping logistics performing: Logistics maturity assessments and operational improvement roadmaps WMS, WES, LMS, and TMS implementation and integration Warehouse, fulfillment, and transportation network optimization Application support, ongoing optimization, and managed services And logistics technology is moving faster than at any point in the last decade. WES, flexible robotics, and AI-assisted workflows are rewriting what good operations look like from the receiving dock to the last mile. The leaders pulling ahead are not the ones with the most technology. They are the ones building operating models that can absorb constant change. The hardest part is making it stick. Logistics transformation works when technology, process, and the people running the operation come together. We focus on change management, operational readiness, and solutions that support how teams work across warehousing, transportation, and fulfillment day-to-day. Most logistics challenges show up first inside the warehouse. Labor constraints. Inventory in the wrong place. Orders piling up against service windows. The way warehouses respond is changing. WES now orchestrates work in real time across people, robotics, and equipment. Operators handle judgment and exceptions. Autonomous systems handle the repetitive movement. The result is throughput that holds even when the day refuses to. Those pressures do not end at the warehouse door. Transportation teams juggle carrier constraints, customer demands, and last mile disruption. AI agents are stepping into the manual coordination that used to live in spreadsheets and email, freeing planners and dispatchers to focus on the decisions only people can make. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.Lorem ipsum dolor sit amet consectetur adipiscing elit dolor John Doe At the end of the day, logistics has to perform. Orders that ship on time. Trucks that move. Inventory in the right place. Service levels held and cost to serve in check. The bar is rising. The leaders building tomorrow's logistics operation are doing it now, with the right technology, the right partner, and a clear view of what comes next. Learn more about the neos approach -> here. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Manufacturing - neos by Argon & Co" source_url: "https://neosbyargonandco.com/manufacturing" page_path: "/manufacturing" page_type: "generic" crawled_at: "2026-09-23T13:45:44Z" content_changed_at: "2026-09-23T13:45:44Z" content_unchanged_days: 0 observed_days: 0 --- Manufacturing - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co Manufacturing systems built for how plants actually run Partner with neos to modernize MES, scheduling, and shop floor systems for predictable production. Manufacturing When pressure builds, plants depend on technology that helps teams see what is happening, decide quickly, and keep production moving. That is what good manufacturing systems do. Manufacturing operations live in the details. Schedules shift. Materials run short. Quality data comes in late. The correct manufacturing systems take the friction out of execution and help every shift run with more visibility, fewer surprises, and more consistent results. Modern MES, advanced scheduling, and manufacturing operations platforms are doing exactly that. They reduce manual coordination, give operators clearer information at the workstation, and help supervisors make faster decisions when conditions change. The point is not to add more technology. It is to give your team better tools to run the plant well. Neos partners with manufacturers to make that real. We bring hands-on production experience, regulated industry know how, and the operational view that comes from working in live plants. That experience shapes how we approach every engagement, from assessment through implementation and into the months that follow: Manufacturing maturity assessments and improvement roadmaps MES implementation, integration, and production visibility Advanced scheduling, process control, and predictive maintenance Compliance, traceability, and ongoing managed services Manufacturing systems only work when they fit the plant. Operators need interfaces they can use under pressure. Supervisors need data they trust. Quality and compliance teams need traceability they can defend in an audit. We design every solution around those realities, working alongside your team from assessment through go-live and into the months of fine tuning that follow. Every plant is different. Process and discrete. Regulated and lean. High volume and high mix. We have worked across them all, including pharmaceuticals, food and beverage, medical devices, aerospace, and defense, where compliance, batch records, and traceability are not optional. An improvement that operators do not use is no improvement at all. That is why adoption sits at the center of how we work. We test scenarios with the people who will run the system, refine workflows on the floor, and stay close after go-live to fix what shifts find. The result is manufacturing improvements that hold up over time, not changes that quietly erode back to old habits. Adoption is one piece of the picture. The other is integration. MES, ERP, scheduling, quality, and maintenance systems all need to talk to each other. We design solutions that fit together cleanly, so data moves where it needs to and your team is not stitching it back together by hand. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.Lorem ipsum dolor sit amet consectetur adipiscing elit dolor John Doe At the end of the day, technology has to make production better. Schedules that hold. Operators who trust the system. Compliance that takes care of itself. Throughput you can measure. That is what neos partners with manufacturers to deliver, and what we stay focused on long after the system is live. Learn more about the neos approach -> here. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Maximizing Value from Your WMS: A Health Check Approach - neos by Argon & Co" source_url: "https://neosbyargonandco.com/maximizing-value-from-your-wms" page_path: "/maximizing-value-from-your-wms" page_type: "generic" crawled_at: "2026-09-23T13:45:48Z" content_changed_at: "2026-09-23T13:45:48Z" content_unchanged_days: 0 observed_days: 0 --- Maximizing Value from Your WMS: A Health Check Approach - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Maximizing Value from Your WMS: A Health Check Approach Unlock hidden efficiency and cost savings in your warehouse with WMS Health Checks admin December 4, 2024 Unlocking efficiency and cost savings in your warehouse For many businesses, implementing a Warehouse Management System (WMS) is a transformative step toward optimising operations. But after the initial implementation and go-live phase, it's easy to settle into "business as usual." Over time, this can lead to missed opportunities for efficiency, misalignment between processes and technology, and rising operational costs. Does this sound familiar? Are you struggling with warehouse space constraints and inaccurate inventory? Are rising labour costs impacting your bottom line? Do you lack visibility into labour usage and planning across your warehouses? Small process adjustments or minor system tweaks could yield significant cost savings and efficiencies. At neos by Argon & Co, we specialise in revisiting your WMS environment to uncover untapped potential, ensuring your technology evolves with your business needs. The Challenge: A WMS That Falls Behind When a WMS transitions to IT support after project teams roll off, enhancements and improvements often take a backseat. Meanwhile, the business continues to evolve: Leadership changes bring fresh perspectives and priorities. Operational requirements shift as business and customer needs grow. Physical changes like new distribution centres, layouts, or material handling equipment demand system adjustments. Too often, systems are blamed for inefficiencies when they are fully capable of delivering the desired outcomes. The issue lies in the gap between how the system is configured and how it needs to function to support evolving processes. How Neos Can Help Our WMS Health Check bridges the gap between your operations and technology, ensuring your system supports your business effectively. Our Process: 1. Operational Review: Conduct an in-depth analysis of your DC operations, covering inbound, internal, and outbound processes. Walk through each warehouse function, observing a compressed "day in the life" of your operations. Collaborate with your team through shop-floor interviews to identify challenges, wish-list items, and opportunities. 2. Technology Review: Assess your current system setup, including software versions, configurations, and third-party add-ons. Collaborate with your IT team to evaluate system performance and enhancements. Identify untapped features and opportunities for optimisation. 3. Deliverables: A comprehensive written report summarising findings and actionable recommendations A prioritised roadmap outlining benefits and ranking their potential value to your operations. Why Neos by Argon & Co? We bring a unique blend of operational expertise and solution knowledge to every engagement: Operational Expertise: Understand your processes and validate how they function within your current WMS. Empower teams to leverage untapped system potential and address inefficiencies. Solution Knowledge: Deep knowledge of WMS technologies, their strengths, and limitations. Identify bottlenecks, validate system performance, and recommend improvements. Our goal is to ensure your WMS reached its full potential- delivering measurable benefits and enabling your business to thrive. Ready to unlock the full potential of your WMS and drive operational excellence? Contact neos by Argon & Co today to discover how we can help optimise your warehouse operations and achieve lasting cost efficiencies. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Medical Devices - neos by Argon & Co" source_url: "https://neosbyargonandco.com/medical-devices" page_path: "/medical-devices" page_type: "generic" crawled_at: "2026-09-23T13:45:51Z" content_changed_at: "2026-09-23T13:45:51Z" content_unchanged_days: 0 observed_days: 0 --- Medical Devices - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co Medical Device Supply Chains Designed for speed. Built for faster decisions. Medical Devices Modernize planning in weeks. Improve decision and supply chain responsiveness without a full transformation. Disconnected planning processes cannot keep up with regulatory demands, product complexity, and procedure driven demand. Medical device supply chains operate under constant pressure. Regulatory requirements, traceability, and product complexity must be managed while balancing inventory across manufacturing, distribution, and service networks. The margin for error is small. Demand adds another layer of complexity. Procedure volumes, product adoption, and regional variability make it difficult to plan with confidence using traditional tools. When planning is disconnected, decisions slow down. Visibility is limited. Teams are forced to react instead of staying ahead of disruption. Planning should not slow you down. Meet Rapid Start A Faster Path to Advanced Planning. Fixed scope. Fixed timeline. Built for speed and real-world complexity. RapidStart gives medical device companies a clear path to modern planning without the time, cost, and disruption of traditional implementations. Powered by Kinaxis Planning One , it connects demand, supply, and inventory in a single environment, enabling faster decisions and more responsive supply chain. Kinaxis is a recognized leader in supply chain planning, trusted by 4 of the top 10 medical device manufacturers. Faster Decisions Make planning decisions in minutes, not days. Connected Planning Align demand, supply, and inventory in one place. Faster Time to Value Go live in as little as 16 to 24 weeks. What This Enables? Keep up with procedure driven demand and shifting signals Adapt quickly to product changes and new introductions Balance inventory across your entire network Gain visibility across suppliers and operations Evaluate scenarios quickly and respond with confidence neos + Kinaxis A practical, experience led approach that connects strategy, technology, and execution. As a Platinum Kinaxis partner, Value Added Reseller, and Authorized Training Partner, we combine deep platform expertise with a business first approach to ensure planning improvements translate into real operational impact. Built for Real World Supply Chain Complexity Practitioner Led Experience from leaders who have worked in supply chain roles, not just system implementation. Focused and Efficient Streamlined teams and a proven approach that reduces risk and accelerates time to value. Built for Adoption We align people, process, and technology to ensure lasting change, not just system go live. Key Outcomes Kinaxis enables medical device companies to move beyond reactive planning and operate with greater speed, visibility, and confidence. By connecting demand, supply, and inventory in a single environment, teams can make faster decisions, align across functions, and respond more effectively to disruption. Sense and respond to change faster Industry ready foundation Predefined planning model Align decisions across supply chain, operations, and finance Tailored to your business Configured with your data Drive adoption through processes Deliver critical products with greater reliability Faster decisions More responsive supply chain Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? Hide Toolbar Duration Only for this session 24 hours A Week Not Now Hide Toolbar Select your accessibility profile Vision Impaired Mode Enhances website's visuals Seizure Safe Profile Clear flashes & reduces colour ADHD Friendly Mode Focused browsing, distraction-free Blindness Mode Reduces distractions, improves focus Epilepsy Safe Mode Dims colours and stops blinking Content Modules Font Size + Default - Readable Font Line Height + Default - Cursor Letter Spacing Align Text Font Weight Colour Modules Light Contrast High Contrast Monochrome Orientation Modules Reading Line Reading Mask Hide Images Highlight Content Stop Animations Highlight Links Skip To Content Choose... Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Multiple ERPs. One Supply Chain. Endless Firefighting. - neos by Argon & Co" source_url: "https://neosbyargonandco.com/multiple-erps-one-supply-chain-endless-firefighting" page_path: "/multiple-erps-one-supply-chain-endless-firefighting" page_type: "generic" crawled_at: "2026-09-23T13:45:55Z" content_changed_at: "2026-09-23T13:45:55Z" content_unchanged_days: 0 observed_days: 0 --- Multiple ERPs. One Supply Chain. Endless Firefighting. - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Multiple ERPs. One Supply Chain. Endless Firefighting. Diane Jordan June 6, 2026 Most pharmaceutical supply chain leaders have experienced some version of the same scenario. A product launch is approaching. Demand projections continue to evolve as commercial teams refine expectations. Manufacturing appears to be tracking to plan until a critical batch encounters an unexpected delay. Inventory exists somewhere in the network, but not necessarily in the right locations. Customer commitments have already been made, and leadership wants to understand the potential impact before the issue escalates further. What should be a straightforward planning discussion quickly becomes something else entirely. Teams begin pulling data from multiple systems. Manufacturing reviews production schedules. Supply planners evaluate inventory positions. Commercial teams revisit demand assumptions. Regional organizations provide local context. Meetings are scheduled. Spreadsheets are exchanged. Additional reports are generated. Before anyone can determine the best response, the organization must first agree on what is actually happening. For many pharmaceutical companies, this is not an exceptional event. It is a recurring reality. The challenge is rarely a lack of expertise, effort, or information. More often, it is a consequence of attempting to manage an increasingly complex supply chain through systems and processes that were never designed to support enterprise-wide decision making. Over the last two decades, growth has transformed the pharmaceutical industry. Acquisitions have expanded product portfolios and geographic reach. Manufacturing networks have become increasingly global. Contract manufacturers and external suppliers now play critical roles in supporting operations. New therapies, evolving regulations, and rising service expectations have created supply chains that are significantly more dynamic than those that existed a generation ago. Along the way, organizations accumulated technology to support that growth. New ERP systems were introduced. Legacy platforms remained in place. Business units developed their own operating models. Regional requirements drove additional variation. The result is familiar to most large pharmaceutical organizations: one supply chain operating across multiple ERP systems. While each system may continue to perform its intended role effectively, planning across all of them has become increasingly difficult. When Information Lives Everywhere, Decisions Slow Down ERP systems remain among the most important technologies within the enterprise because they provide the operational backbone required to run the business. They record transactions, manage inventory, support manufacturing processes, and maintain financial integrity across the organization. Their value is undeniable, and for decades they provided the foundation necessary to support planning activities. The challenge is that planning itself has changed. Today's pharmaceutical supply chains are expected to simultaneously balance service levels, inventory investment, launch readiness, manufacturing constraints, regulatory requirements, customer commitments, and financial performance. Decisions that once affected a single site or business unit now create consequences that ripple across global networks. A planner evaluating the impact of a delayed batch rarely needs information from a single source. Inventory positions may reside in one ERP system. Manufacturing schedules may be maintained in another. Demand forecasts may be generated elsewhere. Commercial commitments may exist entirely outside traditional planning environments. None of this information is missing. In fact, most organizations have invested heavily to ensure it is captured accurately and made available to the business. The difficulty lies in understanding how all of those pieces interact. A manufacturing delay may create inventory shortages in one region while leaving excess inventory elsewhere. A change in demand may affect production priorities, customer allocations, launch timelines, and working capital simultaneously. Evaluating those relationships requires planners to move beyond individual transactions and understand the broader consequences of change. Yet before that evaluation can occur, information must often be gathered, validated, reconciled, and aligned across multiple stakeholders. As complexity grows, so does the time required to assemble a complete picture of the situation. This dynamic creates a subtle but important shift in how planning organizations operate. Rather than spending their time evaluating alternatives and assessing risk, planners become increasingly focused on gathering information, reconciling discrepancies, and creating a common understanding of the current state. The organization is not struggling because it lacks data. It is struggling because the effort required to transform information into decisions has become too great. Why Complexity Is Growing Faster Than Planning Processes Many of today's planning processes were established during a period when supply chains were significantly less complex than they are now. Product portfolios were smaller. Manufacturing networks were more centralized. Customer expectations were more predictable. Planning cycles moved at a slower pace, and the number of decisions requiring cross-functional coordination was substantially lower. That environment no longer exists. Today's pharmaceutical supply chains operate within a landscape defined by constant change. Contract manufacturing relationships continue to expand. Global sourcing networks introduce new dependencies and risks. Product launches occur across multiple regions simultaneously. Regulatory requirements evolve continuously. Demand patterns shift in response to competitive pressures, healthcare trends, and market dynamics. At the same time, organizations are under increasing pressure to improve service levels, reduce inventory investment, accelerate launches, and maintain profitability. Each objective is reasonable in isolation. Collectively, however, they create a level of planning complexity that traditional processes struggle to accommodate. The volume of information has increased dramatically. The number of decisions has increased. The speed at which those decisions must be made has increased. Planning processes, however, have often evolved more slowly. As a result, organizations frequently compensate through additional process. More reports are generated. More meetings are scheduled. More spreadsheets are exchanged. Additional reviews are introduced to ensure decisions are properly informed. These activities are rarely viewed as problems because they emerge gradually. Each new report appears useful. Each meeting seems necessary. Each spreadsheet addresses a specific need. Over time, however, the cumulative effect becomes substantial. The organization develops increasingly sophisticated mechanisms for managing complexity without fundamentally improving its ability to make decisions within it. The Hidden Cost of Firefighting When information is fragmented across systems, firefighting gradually becomes embedded within the operating model. Planners learn which reports to pull, who to contact, and which stakeholders must be involved whenever a disruption occurs. Teams become highly effective at responding to issues, but often at the expense of preventing them. Success becomes measured by how quickly organizations can react rather than how effectively they can anticipate change. Meetings evolve into escalation mechanisms. Planning cycles become compressed. Decision making becomes increasingly dependent on individual experience and institutional knowledge rather than a shared understanding of potential outcomes. Ironically, many organizations become so proficient at managing disruption that they fail to recognize how much effort is being consumed by it. Firefighting becomes normalized. What begins as an exception gradually becomes standard operating procedure. The consequences extend beyond efficiency. Strategic planning initiatives receive less attention. Continuous improvement efforts lose momentum. Planners spend more time explaining what happened than evaluating what could happen next. This is one of the most significant hidden costs of fragmented planning environments. Valuable planning capacity is consumed by activities that create alignment around information rather than insight into decisions. Visibility Is Not The Same As Decision Making Recognizing these challenges, many organizations have focused on improving visibility across the supply chain. The rationale is understandable. If information is fragmented, increasing transparency appears to be a logical first step. Visibility initiatives have delivered meaningful value. Better data quality, improved reporting, and broader access to information help organizations identify issues earlier and understand performance more effectively. However, visibility addresses only part of the challenge. Knowing where inventory exists does not determine how it should be allocated. Understanding that demand has increased does not explain how production plans should change. Identifying a supply disruption does not reveal which customer commitments should be prioritized or what tradeoffs should be made. These are not visibility questions. They are decision questions. The distinction is critical because visibility helps organizations understand what is happening, while planning helps organizations determine what should happen next. As supply chains become more interconnected, the ability to evaluate alternatives becomes increasingly important. Decisions are rarely isolated. Every action creates consequences that extend throughout the network. Increasing inventory may improve service levels but create additional expiry risk. Reallocating supply may support a strategic customer while creating shortages elsewhere. Accelerating a launch may generate revenue opportunities while introducing manufacturing challenges. There is rarely a single correct answer. There are tradeoffs. The organizations that consistently outperform their peers are not necessarily those with the most information. They are the ones that can understand those tradeoffs quickly, align stakeholders effectively, and move forward with confidence. Planning Across Complexity Instead of Waiting To Eliminate It The idea of creating a single ERP environment remains appealing because it suggests a path toward simplicity. If every business unit, manufacturing site, and region operated within the same transactional system, planning should theoretically become easier. In practice, however, many organizations discover that technology consolidation does not eliminate planning complexity. The reason is simple: complexity is increasingly driven by business realities rather than system architecture. A planner evaluating launch readiness must still consider manufacturing capacity, quality timelines, inventory availability, customer demand, and commercial priorities. A supply disruption must still be assessed across multiple products, customers, and regions. Tradeoffs must still be evaluated. Risks must still be understood. The challenge is not simply where the information resides. The challenge is understanding how decisions made in one part of the supply chain affect outcomes elsewhere. This is why leading organizations are beginning to view planning differently. Rather than treating planning as a process for collecting information, they are treating it as a capability for evaluating consequences. The objective is not merely to create a single source of truth. It is to create a shared understanding of potential outcomes. That distinction fundamentally changes the role of planning. Instead of focusing on historical transactions, planning becomes focused on future decisions. Instead of asking what happened, organizations begin asking what could happen next and which response creates the best business outcome. This shift allows organizations to plan across complexity rather than waiting for complexity to disappear. Demand, supply, inventory, capacity, and commercial priorities can be evaluated together, allowing planners to understand the broader implications of decisions before they are made. Rather than spending days determining what happened, organizations gain the ability to explore what happens next. What is the impact of a supplier disruption? How does a delayed batch affect launch readiness? Which inventory positions carry the greatest risk? What allocation strategy best balances service, revenue, and supply constraints? These are the questions that ultimately drive business performance, and they cannot be answered through transactions alone. They require planning. Moving Beyond Firefighting The pharmaceutical industry has spent decades investing in systems capable of recording, tracking, and managing increasingly complex operations. Those investments remain essential. Yet as supply chains continue to evolve, operational excellence is becoming less dependent on the ability to capture information and more dependent on the ability to act on it. Multiple ERP systems will continue to exist. New acquisitions will occur. Manufacturing networks will expand. Supply chains will become more interconnected and more dynamic. Complexity is unlikely to decrease. The question facing supply chain leaders is therefore not whether complexity can be eliminated. It is whether their planning capabilities can keep pace with it. Organizations that continue to rely on fragmented information, manual reconciliation, and disconnected decision-making will find themselves dedicating more resources to managing disruption than preventing it. Firefighting will remain a permanent feature of the operating model because every decision will require assembling information before evaluating options. The organizations that separate themselves from their competitors will take a different approach. They will create environments where planners can see the full picture, understand the consequences of change, evaluate alternatives, and align stakeholders around a common course of action. They will spend less time debating what happened and more time determining what happens next. Because the future of pharmaceutical planning is not about building more reports, creating more spreadsheets, or integrating one more system. It is about creating the ability to make better decisions in a world that refuses to become simpler. And in an industry where service, supply, inventory, manufacturing performance, launch success, and ultimately patient outcomes are increasingly interconnected, that ability may become one of the most important competitive advantages an organization can possess. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Neos by Argon & Co Earns Anaplan Solution Advisory Badge as US Capabilities Continue to Grow - neos by Argon & Co" source_url: "https://neosbyargonandco.com/neos-by-argon-co-earns-anaplan-solution-advisory-badge-as-us-capabilities-continue-to-grow" page_path: "/neos-by-argon-co-earns-anaplan-solution-advisory-badge-as-us-capabilities-continue-to-grow" page_type: "generic" crawled_at: "2026-09-23T13:45:59Z" content_changed_at: "2026-09-23T13:45:59Z" content_unchanged_days: 0 observed_days: 0 --- Neos by Argon & Co Earns Anaplan Solution Advisory Badge as US Capabilities Continue to Grow - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Neos by Argon & Co Earns Anaplan Solution Advisory Badge as US Capabilities Continue to Grow Diane Jordan August 17, 2026 Neos by Argon & Co has earned the Anaplan Solution Advisory badge, marking another step in the continued expansion of the firm's planning and transformation capabilities in the United States. The badge recognizes neos' solution advisory role within the Anaplan partner ecosystem. It reflects our ability to work with organizations to identify planning challenges, define their business requirements and evaluate how Anaplan can support more informed decisions across the enterprise. Anaplan brings data, planning and scenario analysis together to help organizations assess options and respond more confidently as business conditions change. Its flexible platform can support a range of planning needs across finance, supply chain, workforce and sales. For neos, the relationship complements our broader work helping organizations improve business performance by bringing strategy, planning and execution closer together. "Organizations are looking for more than a new planning tool. They need to understand where technology can create meaningful value and how it fits within the way their business makes decisions," said Derek Cesarz, Managing Partner at neos by Argon & Co. "Earning the Anaplan Solution Advisory badge reflects the capabilities we are continuing to build in the US and our commitment to helping clients make the right technology investments for their business." The recognition comes as neos continues to expand its technology enabled transformation capabilities across the US market. By combining deep operational expertise with a growing ecosystem of technology partners, the firm can help clients define the right planning approach, align it with their business priorities and build a practical path toward greater decision intelligence. Earning the Solution Advisory badge is an important milestone in neos' Anaplan journey. Our team will continue investing in the knowledge, skills and delivery capabilities needed to support clients as they modernize planning and prepare for a more intelligent enterprise. To learn more about neos by Argon & Co's planning and transformation capabilities, contact our US team. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Neos by Argon & Co expands SAP remit with Pan Pac - neos by Argon & Co" source_url: "https://neosbyargonandco.com/neos-by-argon-co-expands-sap-remit-with-pan-pac" page_path: "/neos-by-argon-co-expands-sap-remit-with-pan-pac" page_type: "generic" crawled_at: "2026-09-23T13:46:02Z" content_changed_at: "2026-09-23T13:46:02Z" content_unchanged_days: 0 observed_days: 0 --- Neos by Argon & Co expands SAP remit with Pan Pac - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Neos by Argon & Co expands SAP remit with Pan Pac Expanding SAP Supply Chain Support. admin October 3, 2025 Neos began as go-live support for Pan Pac's SAP S4 implementation. It now manages supply chain and operations support across SAP modules. When New Zealand-based manufacturer Pan Pac Forest Products prepared to go live with SAP S4, its internal team recognised the risks of managing a complex logistics system without specialist support. The company turned to neos, initially for its expertise in Extended Warehouse Management (EWM), to ensure a stable and efficient transition. Neos began as go-live support for Pan Pac's SAP S4 implementation. It now manages supply chain and operations support across SAP modules. "We didn't have the depth of knowledge internally to respond quickly if anything went wrong at go-live," says Lisa Jury, IT Enterprise Systems Manager at Pan Pac. "Stock systems are time-sensitive, so we needed someone with deep experience on site." Pan Pac operates with complex logistics requirements, including a deconstruction process in one division and dual units of measure for pulp in another. These processes required specific customisation within EWM and integration with quality, production, and procurement modules. Neos supplied a consultant with specialised EWM knowledge who was able to familiarise himself with Pan Pac's customised environment. "They only had about a month to get across the solution before arriving on site," Lisa says. "It wasn't just SAP knowledge - it was understanding supply chain terminology and challenging our processes when needed." According to Lisa, the partnership was effective from the outset, with the neos consultant providing real-time support and configuration expertise across multiple operational areas. "They weren't just providing answers - they were coaching our team and helping them understand how to use SAP properly," she says. Neos' involvement soon expanded beyond EWM. Within six months, it was engaged across inventory, quality, and production modules, helping Pan Pac resolve issues such as reconciliation problems between EWM and quality, and production reversals in customised processes. "Neos helped us identify and implement standard solution options and minimised enhancement and applied a best practice enhancement approach where a complex problem could not fit to standard," Lisa says. "That's where we wanted to be - avoiding risk and complexity." Navigating disruption The context for the partnership's rapid growth was made more urgent by external challenges. In early 2023, Pan Pac's Napier site was impacted by Cyclone Gabrielle. Floodwaters submerged parts of the business under three metres of water, destroying inventory and infrastructure. "Our go-live was pushed out by almost a year while the business rebuilt," Lisa says. "We had to wait until production could resume, and when it did, we couldn't afford further disruption. That's why having the right support at go-live was so critical." Neos not only helped avoid downtime but also demonstrated a capacity to stabilise processes at a vulnerable moment for the business. "They were responsive, clear, and calm under pressure. Our staff trusted them," she added. From support to strategic partnership Following the initial success, neos was also asked to support procurement functionality, including taxonomy development and setup of contract management controls within SAP. This shift was part of a wider cost control initiative as Pan Pac sought to improve visibility into spending and re-establish operational discipline post-cyclone. "They helped us implement contract functionality so we could link negotiated prices and approved contract values to real spend," Lisa says. "That's critical in a business where procurement affects every part of the operation." Neos by Argon & Co is a supply chain systems integrator focused on bridging the gap between strategy and execution. Leveraging the resources and expertise of Argon & Co, neos delivers technology solutions that provide tangible business value through system integration excellence in market-leading products. Its core focus includes Warehouse Management Systems (WMS) and Advanced Planning and Scheduling (APS) systems, with plans to expand further into areas such as Transportation Management Systems (TMS), Procure-to-Pay (P2P), and Manufacturing. Johnny Balich, SAP Practice Lead at neos, says the engagement grew naturally as trust was built. "We didn't come in trying to replace everything - we supported what was there and looked for areas where we could make it better," he says. "It's an open and transparent relationship. We challenge each other constructively." That constructive approach, Johnny says, is rooted in neos' experience across both consulting and operational roles. "None of us are career consultants - we've all worked in warehouses, on production lines, in procurement roles. We learned SAP from the business side," he says. This background helped neos gain credibility quickly. "Our production and supply chain staff have decades of experience," Lisa says. "Neos met them on their level. They speak the same language, and they're not afraid to ask why a process exists." The case for a dual-vendor model After stabilising post-go-live and expanding across operational modules, Pan Pac decided to reassess its support model. The business issued a request for quotation (RFQ) and received seven responses. Ultimately, it adopted a dual-vendor model - appointing neos as its SAP supply chain and operations partner, and another vendor to manage finance, sales, and analytics. "We realised it was unrealistic to expect one partner to be strong in every area," Lisa explains. "Neos brought specialist supply chain capability and deep SAP operational understanding. That's where we needed the most support." Johnny says the dual-model approach makes sense for mid-sized manufacturers with diverse needs. "We don't pretend to do everything. Our job is to go deep on what we know - supply chain, warehousing, operations. That clarity is good for the client and for us," he says. Coaching, not just consulting One of the contributions neos made, Lisa says, was in capability building. Rather than operating behind the scenes, neos made a point of showing Pan Pac staff how the system worked, the best practice enhancement approaches and how decisions were made. "We didn't want a black box solution. Neos showed us the 'how' behind every decision, from configuration changes to reporting logic," she says. "That turned every support call into a coaching moment." The outcome has been a more confident in-house team, with better understanding of how to operate and adapt the SAP system over time. Supply chain operations in motion - neos supported Pan Pac through complex SAP go-live and beyond. Looking ahead: upgrades and continuous improvement The next step in the relationship is Pan Pac's first SAP upgrade under the S/4HANA environment. "It's a bit daunting," Lisa admits. "It's a different discipline and change adoption challenge, as HANA requires you to stay current and keep solution version functionality updated." Neos is already conducting a review of Pan Pac's current SAP landscape, identifying areas where the solution could be simplified, standardised, or improved. "We've seen pockets where it could be done better," Johnny says. "We're compiling that into a structured proposal, free of charge." That continuous improvement mindset, Johnny adds, is part of neos' commitment to being a long-term partner. "We don't wait for the client to find the problem - we're always looking for where things can be better," he says. For Lisa, the value of the relationship lies in how neos has embedded itself as both a problem-solver and a process challenger. "They bring external insight into how other businesses operate, and they're not afraid to suggest we do things differently," she says. "It's not just about keeping the lights on. It's about raising the bar." Original article - https://mhdsupplychain.com.au/2025/05/28/neos-by-argon-co-expands-sap-remit-with-pan-pac/ Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Neos by Argon & Co Launches Rocket Mobile to pioneer AI in SAP logistics operations - neos by Argon & Co" source_url: "https://neosbyargonandco.com/neos-by-argon-co-launches-rocket-mobile" page_path: "/neos-by-argon-co-launches-rocket-mobile" page_type: "generic" crawled_at: "2026-09-23T13:46:05Z" content_changed_at: "2026-09-23T13:46:05Z" content_unchanged_days: 0 observed_days: 0 --- Neos by Argon & Co Launches Rocket Mobile to pioneer AI in SAP logistics operations - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Neos by Argon & Co Launches Rocket Mobile to pioneer AI in SAP logistics operations AI-powered SAP mobility for faster, smarter warehouse operations. admin March 10, 2026 Neos by Argon & Co, a leader in system integration services and support, announces the launch of its latest innovation, Rocket Mobile for SAP. This certified SAP solution is set to transform supply chain operations with unparalleled AI capabilities and seamless integration. With decades of experience in delivering enterprise-grade warehouse, transportation, and inventory orchestration systems, neos by Argon & Co continues to drive change through technology. Rocket Mobile is designed to bridge the gap between SAP technology and what is expected of supply chain operations today, offering functionality previously unattainable. Key Features of SAP Rocket Mobile: Intuitive User Interface : Simplifies complex warehouse transactions to enhance user experience. Optimised Performance : Provides lightning-fast load times and reliable online/offline operation. AI-Driven Workflows and Analysis : Standardise and streamline hazard inspections, quality inspections and a stronger compliance with advanced AI processing. Multi-Barcode Scanning & OCR : Facilitates quick data capture and processing across various tasks. By integrating AI within the Rocket Mobile SAP Application, users gain access to automated insights and intelligent automation of warehouse tasks, streamlining workflows and boosting productivity. "We are excited to introduce Rocket Mobile, a transformative solution designed to streamline operations, we are seeing productivity gains of up to 80% from standard SAP EWM tasks with this new solution," said Johnny Balich, SAP Practice Lead at neos by Argon & Co. "Our clients can experience 300% faster picking rates, as well as 5x faster user adoption, setting a new benchmark in supply chain efficiency." Lewis Marston, CEO of Rocket, said: "neos brings deep SAP capability and a strong on-the-ground presence in ANZ, giving customers access to Rocket's platforms with a trusted local delivery partner. Together, we are helping SAP customers accelerate user adoption and operational performance, turning day-to-day execution into measurable value through Rocket Mobile (SAP enterprise mobility) and Rocket Vision (AI for supply chain and operational workflows)." Availability: Rocket Mobile is available globally and has already been implemented in over 850 customer sites, showcasing its reliability and effectiveness in various warehouse and logistics applications. Learn more about the partnership between neos by Argon & Co and Rocket, and explore the capabilities of Rocket Mobile for SAP here. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Neos Strengthens APAC Presence with Strategic Partner Appointment in Singapore - neos by Argon & Co" source_url: "https://neosbyargonandco.com/neos-strengthens-apac-presence-with-strategic-partner-appointment-in-singapore" page_path: "/neos-strengthens-apac-presence-with-strategic-partner-appointment-in-singapore" page_type: "generic" crawled_at: "2026-09-23T13:46:09Z" content_changed_at: "2026-09-23T13:46:09Z" content_unchanged_days: 0 observed_days: 0 --- Neos Strengthens APAC Presence with Strategic Partner Appointment in Singapore - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Neos Strengthens APAC Presence with Strategic Partner Appointment in Singapore Expanding our footprint into the Asia-Pacific region. admin December 1, 2025 Neos by Argon & Co is expanding its footprint into the Asia-Pacific region with the appointment of new Partner, Arjan van Stiphout, who will be based in Singapore. This strategic move reflects neos' continued growth across APAC and its commitment to supporting organisations across Asia with world-class systems integration expertise. The Singapore appointment marks a significant milestone in neos' expansion journey, strengthening its presence across key Asian markets. With increasing demand for integrated supply chain planning, manufacturing, logistics, and procurement technologies, neos' enhanced regional leadership will enable the business to better serve clients navigating complex digital transformation initiatives. With 25 years of international experience across Asia-Pacific, Arjan is a versatile and results-driven leader known for driving sustainable revenue growth through the sale and delivery of supply chain management, planning, and execution solutions. He brings deep expertise in software and services sales, program governance, and large-scale transformation delivery. These skills will play a pivotal role in scaling neos' capabilities and accelerating its ongoing APAC growth strategy. "I'm excited to be joining neos at such a pivotal time in its APAC expansion," said Arjan. "The demand for integrated, future-ready supply chain solutions across Asia has never been stronger, and I look forward to working with our clients and teams to help them unlock real value through technology-enabled transformation." "I'm thrilled to be working with Arjan again and to welcome him as a Partner," said Luke Tomkin, neos Managing Partner ANZ. "Asia is a critical growth region for neos, and establishing senior leadership in Singapore strengthens our ability to support clients across the region with integrated, high-impact transformation programs. While Arjan will be based in Singapore, we will also be drawing on his expertise to support our growing portfolio across Australia and New Zealand, which is particularly exciting." Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Netsuite Is Your System of Record - Here's How to Make It a System of Action - neos by Argon & Co" source_url: "https://neosbyargonandco.com/netsuite-is-your-system-of-record-heres-how-to-make-it-a-system-of-action" page_path: "/netsuite-is-your-system-of-record-heres-how-to-make-it-a-system-of-action" page_type: "generic" crawled_at: "2026-09-23T13:46:12Z" content_changed_at: "2026-09-23T13:46:12Z" content_unchanged_days: 0 observed_days: 0 --- Netsuite Is Your System of Record - Here's How to Make It a System of Action - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Netsuite Is Your System of Record - Here's How to Make It a System of Action Diane Jordan April 15, 2026 For many fast-growing companies, NetSuite is the go-to ERP. It's flexible, cloud-native, and scalable across finance, inventory, and order management. It's the backbone of day-to-day execution. But when it comes to supply chain planning-NetSuite starts to show its limits. As your product lines expand, lead times fluctuate, and customer expectations rise, NetSuite's basic planning tools often leave teams relying on disconnected spreadsheets, workarounds, or guesswork. You don't need to replace your ERP. You need to extend it-with the right planning layer that helps you act, not just react. Where NetSuite Works-and Where It Doesn't NetSuite is strong at: Managing transactions Supporting real-time inventory visibility Integrating with core financial processes Streamlining procurement and fulfillment But for planning, it's not built to: Forecast demand dynamically across channels Balance supply and inventory with real-world constraints Optimize production based on capacity or supplier variability Simulate "what-if" scenarios across supply chain tiers NetSuite's planning and budgeting tools are great for finance-but limited for supply chain operations. Most companies still export data to Excel to model demand, supply, or inventory strategies. The Cost of Planning by Spreadsheet As NetSuite-based companies grow, they start hitting real planning pain points: Inventory imbalances -stockouts in one location, overstock in another Slow response to demand shifts -forecasts aren't flexible or granular enough Lack of cross-functional visibility -sales, operations, and procurement work off different assumptions Planning meetings become reconciliation sessions -not decision-making sessions According to Gartner, companies using ERPs without integrated advanced planning tools report up to 25% lower forecast accuracy and 30% longer planning cycles. When It's Time to Add a Planning Platform Here's how to know you've outgrown planning in NetSuite: You're running multiple Excel models outside of the system Teams can't simulate trade-offs or plan scenarios in real time Operations is forced to override system recommendations Planning is reactive, not proactive Modern planning platforms like Kinaxis Planning One and ketteQ are designed to complement systems like NetSuite. They: Pull clean, real-time data from NetSuite Support demand planning, finite capacity planning, and inventory optimization Enable scenario modeling that's fast and intuitive Push decisions back into NetSuite for execution You keep NetSuite as your system of record-while gaining a true system of planning. Planning That Matches the Pace of Growth NetSuite is often the ERP of choice because it's quick to deploy and scales well for growing companies. But that same growth trajectory demands more advanced planning capability -something NetSuite doesn't provide out of the box. Companies that wait too long to solve this planning gap often end up: Over-buying "just in case" Under-serving high-priority customers Delaying expansion or product launches due to operational uncertainty A planning layer gives you the ability to move faster with more confidence-without throwing more people or spreadsheets at the problem. NetSuite Is the Backbone-Now Build the Brain Your ERP is doing its job. But execution is only as good as the plan it follows. At Scott Sheldon, we help high-growth companies extend NetSuite with advanced planning tools that deliver better forecasts, smarter decisions, and more resilient supply chains. If your team is still reconciling spreadsheets every week, it's time for a better way to plan. Let's build the next layer together. Source: Gartner, "Market Guide for Supply Chain Planning Solutions," 2023 Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Featured Publication Seamless Mine Site M&A Mastering Supply Contract Transitions for Operational Readiness READ PUBLICATION Featured Publication Transport Route Planning: Work Smarter, Not Harder Reduce costs, improve efficiency, and deliver smarter with optimized transport planning. READ PUBLICATION Featured Publication FMCG Inventory Optimisation Strategies for Improving Performance and Long-Term Success READ PUBLICATION Case Studies Case Studies Kinaxis Implementation for Apex Tools Group Apex Tool Group is a global manufacturer and distributor of tools, representing six major brands worldwide. Facing challenges with outdated planning software that supported demand planning but lacked integrated... READ FULL CASE STUDY Global Design Optimization for Rubbermaid Rubbermaid is an American manufacturer and distributor of home and food storage products. While the company is best known for producing food storage containers, it also produces trash cans,... READ FULL CASE STUDY Strategic Healthcare Distribution Network Solutions for Owens & Minor Owens & Minor provides global healthcare solutions. The company designs, manufactures and sources clinically superior products that empower customers to advance healthcare. Owens & Minor is responsible for ensuring... READ FULL CASE STUDY VIEW ALL Customer Stories Customer Stories Hear directly from the organisations we support as they share how NEOS helped transform their supply chain planning, execution, and performance through technology, collaboration, and measurable operational results. Blogs Blogs AI Inventory News Operations Partnership Supply Chain Technology Transportation US All ARTIFICIAL-INTELLIGENCE September, 17, 2026 When Local Optimization Creates Network Drift Why individually sound decisions can gradually move the supply chain away from the outcomes the enterprise needs. READ FULL BLOG ARGON & CO M&As September, 16, 2026 Argon & Co Accelerates US Transformation Strategy with Neos Integration We are pleased to announce that Scott Sheldon, a leading supply chain consulting firm, has completed its full integration into neos by Argon & Co, unifying its team, legacy expertise, and technology capabilities under a single global brand. READ FULL BLOG ARTIFICIAL-INTELLIGENCE September, 10, 2026 Why Supply Chain Visibility Is No Longer Enough The next frontier is not seeing more events. It is understanding which events matter, which decisions they affect and how the network should respond. READ FULL BLOG ARTIFICIAL-INTELLIGENCE September, 8, 2026 Start With One Network, Build for the Enterprise A focused implementation can create early value while establishing the context, services and governance required for Intelligent Network Operations at scale. READ FULL BLOG ARTIFICIAL-INTELLIGENCE September, 8, 2026 Decision Intelligence: Connecting Strategy to Supply Chain Action How organizations can preserve strategic intent as decisions move from executive priorities into planning and execution. READ FULL BLOG ARTIFICIAL-INTELLIGENCE September, 8, 2026 Why the Supply Chain Must Operate as a Network of Networks How specialized operating networks can retain their depth while sharing the context required for better enterprise decisions. READ FULL BLOG VIEW ALL ARTIFICIAL-INTELLIGENCE September, 17, 2026 When Local Optimization Creates Network Drift Why individually sound decisions can gradually move the supply chain away from the outcomes the enterprise needs. READ FULL BLOG ARGON & CO M&As September, 16, 2026 Argon & Co Accelerates US Transformation Strategy with Neos Integration We are pleased to announce that Scott Sheldon, a leading supply chain consulting firm, has completed its full integration into neos by Argon & Co, unifying its team, legacy expertise, and technology capabilities under a single global brand. READ FULL BLOG ARTIFICIAL-INTELLIGENCE September, 10, 2026 Why Supply Chain Visibility Is No Longer Enough The next frontier is not seeing more events. It is understanding which events matter, which decisions they affect and how the network should respond. READ FULL BLOG ARTIFICIAL-INTELLIGENCE September, 8, 2026 Start With One Network, Build for the Enterprise A focused implementation can create early value while establishing the context, services and governance required for Intelligent Network Operations at scale. READ FULL BLOG ARTIFICIAL-INTELLIGENCE September, 8, 2026 Decision Intelligence: Connecting Strategy to Supply Chain Action How organizations can preserve strategic intent as decisions move from executive priorities into planning and execution. READ FULL BLOG ARTIFICIAL-INTELLIGENCE September, 8, 2026 Why the Supply Chain Must Operate as a Network of Networks How specialized operating networks can retain their depth while sharing the context required for better enterprise decisions. READ FULL BLOG White Papers White Papers VIEW ALL From Implementation to Impact: Making SAP EWM Deliver May, 4, 2026 Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Overcoming Excel Constraints: Embrace S&OP Software Solutions - neos by Argon & Co" source_url: "https://neosbyargonandco.com/overcoming-excel-constraints-embrace-sop-software-solutions" page_path: "/overcoming-excel-constraints-embrace-sop-software-solutions" page_type: "generic" crawled_at: "2026-09-23T13:46:19Z" content_changed_at: "2026-09-23T13:46:19Z" content_unchanged_days: 0 observed_days: 0 --- Overcoming Excel Constraints: Embrace S&OP Software Solutions - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Overcoming Excel Constraints: Embrace S&OP Software Solutions The Limitations of Excel for S&OP Diane Jordan July 29, 2026 Excel is a commonly used tool for businesses to manage their sales and operations planning (S&OP) processes. However, Excel has several limitations that can hinder the efficiency and effectiveness of these processes. One limitation of Excel is its lack of scalability. As businesses grow and their data volume increases, Excel can become slow and cumbersome to work with. This can result in delays in decision-making and a decrease in overall productivity. Another limitation of Excel is its limited collaboration capabilities. Excel files are typically stored on individual computers or shared drives, making it difficult for team members to collaborate in real-time. This can lead to version control issues and a lack of visibility into the latest data and updates. Additionally, Excel's data handling capabilities are limited compared to specialized S&OP software solutions. Excel requires manual data entry and manipulation, which can be time-consuming and prone to errors. S&OP software, on the other hand, automates data collection, analysis, and reporting, allowing businesses to make more informed decisions based on accurate and up-to-date information. By embracing S&OP software solutions, businesses can overcome these limitations and unlock the full potential of their S&OP processes. S&OP software provides a centralized platform for data management, collaboration, and decision-making, enabling businesses to streamline their S&OP processes and achieve greater efficiency and success. Benefits of Using S&OP Software Solutions There are several benefits to using S&OP software solutions in your business: Improved accuracy: S&OP software automates data collection and analysis, reducing the risk of errors associated with manual data entry and manipulation. Enhanced collaboration: S&OP software provides a centralized platform for team members to collaborate in real-time, improving communication and decision-making. Increased efficiency: S&OP software streamlines the S&OP process, eliminating manual tasks and enabling faster and more efficient planning and forecasting. Better visibility: S&OP software provides real-time visibility into data and updates, allowing businesses to make more informed decisions and respond quickly to changes in demand or supply. Scalability: S&OP software can handle large volumes of data and grow with your business, ensuring that your S&OP processes remain efficient and effective as your business expands. Scenario Planning: S&OP software allows you to quickly run numerous scenarios to determine the best course of action. By leveraging these benefits, businesses can achieve greater success in their S&OP processes and drive overall business growth. Key Features to Look for in S&OP Software When selecting an S&OP software solution for your business, it's important to consider the following key features: Integration capabilities: Look for S&OP software that integrates seamlessly with your existing systems, such as ERP or CRM, to ensure smooth data flow and avoid data silos. Forecasting and demand planning: Choose S&OP software that offers robust forecasting and demand planning capabilities to help you accurately predict customer demand and optimize your inventory levels. Scenario modeling: Look for S&OP software that allows you to create and analyze different scenarios to evaluate the impact of various factors on your S&OP processes, such as changes in demand or supply. Reporting and analytics: Select S&OP software that provides comprehensive reporting and analytics features, enabling you to gain insights from your data and make data-driven decisions. User-friendly interface: Choose S&OP software that is intuitive and easy to use, ensuring that your team can quickly adopt and leverage the software for maximum productivity. By considering these key features, you can select an S&OP software solution that best meets the specific needs and requirements of your business. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Pharmaceutical Supply Chains - neos by Argon & Co" source_url: "https://neosbyargonandco.com/pharmaceutical-supply-chains" page_path: "/pharmaceutical-supply-chains" page_type: "generic" crawled_at: "2026-09-23T13:46:23Z" content_changed_at: "2026-09-23T13:46:23Z" content_unchanged_days: 0 observed_days: 0 --- Pharmaceutical Supply Chains - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co Pharmaceutical Supply Chains Designed for speed. Built for faster decisions. Pharmaceuticals Modernize planning in weeks. Improve decision and supply chain responsiveness without a full transformation. Disconnected planning processes cannot keep up with regulatory demands, portfolio complexity and rapidly changing demand. Pharmaceutical supply chains operate under constant pressure. Regulatory requirements, traceability, product complexity and shelf-life constraints must be managed while balancing inventory across manufacturing and distribution networks. The margin for error is small. Demand adds another layer of complexity. New product launches, market adoption and regional variability make it difficult to plan with confidence using traditional tools. When planning is disconnected, decisions slow down. Visibility is limited. Teams are forced to react instead of staying ahead of disruption. Planning should not slow you down. Meet Rapid Start A Faster Path to Advanced Planning. Fixed scope. Fixed timeline. Built for speed and real-world complexity. RapidStart gives pharmaceutical companies a clear path to modern planning without the time, cost and disruption of a traditional implementation. Powered by Kinaxis Planning One , it connects demand, supply, and inventory in a single environment, enabling faster decisions and a more responsive supply chain. Kinaxis is a recognized leader in supply chain planning, and six of the Fortune Top Ten pharmaceutical manufacturers are Kinaxis customers. Faster Decisions Make planning decisions in minutes, not days. Connected Planning Align demand, supply and inventory in one place. Faster Time to Value Go live in as little as 16 to 24 weeks. What This Enables Keep pace with changing demand across products, markets and channels Adapt quickly to new product introductions and lifecycle changes Balance inventory while accounting for shelf life and expiry risk Gain visibility across suppliers, contract manufacturers and internal operations Evaluate scenarios quickly and respond with confidence neos + Kinaxis A practical, experience led approach that connects strategy, technology, and execution. As a Platinum Kinaxis partner, Value Added Reseller, and Authorized Training Partner, we combine deep platform expertise with a business first approach to ensure planning improvements translate into real operational impact. Built for Real World Supply Chain Complexity Practitioner Led Experience from leaders who have worked in supply chain roles, not just system implementation. Focused and Efficient Streamlined teams and a proven approach that reduces risk and accelerates time to value. Built for Adoption We align people, process, and technology to ensure lasting change, not just system go live. Key Outcomes Kinaxis enables pharmaceutical companies to move beyond reactive planning and operate with greater speed, visibility, and confidence. By connecting demand, supply, and inventory in a single environment, teams can make faster decisions, align across functions, and respond more effectively to disruption. Sense and respond to change faster Industry-ready foundation for pharmaceutical planning Predefined planning model designed to accelerate implementation Earlier visibility into changing demand, supply and inventory conditions Align decisions across supply chain, operations and finance Tailored to your business, product portfolio and planning requirements Configured with your data, policies and operational constraints Incorporated into planning processes to support adoption and alignment Deliver critical products with greater reliability Improve product availability across markets and channels Balance service requirements with inventory and expiry risk Respond more quickly to supply constraints and changing demand Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Planning as a Service: The Emerging Model for AI Driven Planning - neos by Argon & Co" source_url: "https://neosbyargonandco.com/planning-as-a-service-the-emerging-model-for-ai-driven-planning" page_path: "/planning-as-a-service-the-emerging-model-for-ai-driven-planning" page_type: "service" crawled_at: "2026-09-23T13:46:29Z" content_changed_at: "2026-09-23T13:46:29Z" content_unchanged_days: 0 observed_days: 0 --- Planning as a Service: The Emerging Model for AI Driven Planning - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Planning as a Service: The Emerging Model for AI Driven Planning Diane Jordan July 27, 2025 In the previous articles in this series, we explored two paths many organizations are considering as artificial intelligence begins reshaping supply chain planning. Some companies are extending their existing planning platforms by adding AI capabilities such as machine learning forecasting or decision intelligence tools. Others are discovering that their legacy planning systems cannot support modern analytics and are evaluating whether to replace the platform entirely. There is also a third option that is beginning to gain attention. Rather than focusing solely on planning software, some organizations are starting to rethink how planning capabilities are delivered and maintained. This shift has led to the emergence of a model often referred to as Planning as a Service. This approach reflects a broader change in enterprise technology. Instead of purchasing and managing complex software platforms internally, organizations increasingly consume technology capabilities through ongoing service models. Supply chain planning is beginning to follow a similar path. Why Planning Is Becoming More Complex Modern supply chain planning has become significantly more complex over the past decade. Supply chains operate in an environment characterized by demand volatility, product proliferation, global supplier networks, and constant operational disruption. At the same time, organizations are introducing new data sources, advanced analytics, and artificial intelligence capabilities into their planning processes. Managing this environment requires more than simply implementing planning software. Organizations must continuously maintain data pipelines, refine planning models, integrate new data sources, and adapt planning processes as the business evolves. Artificial intelligence adds another layer of complexity because models must be trained, monitored, and adjusted over time as data and conditions change. For many companies, maintaining this level of capability internally requires a combination of technology expertise, data science skills, and deep supply chain planning knowledge. These capabilities are not always easy to sustain within internal teams. What Planning as a Service Actually Means Planning as a Service represents a shift from owning planning systems to consuming planning capabilities. Instead of implementing a planning platform and managing it internally, organizations work with a partner that provides an integrated planning capability that typically includes several components. The first component is the planning platform itself. Modern planning systems provide the computational engine required to evaluate demand, supply, and inventory decisions across complex supply networks. The second component involves analytical models and artificial intelligence capabilities that enhance forecasting, scenario analysis, and risk detection. These models evolve over time as new data becomes available and as planning strategies change. The third component involves operational planning expertise. Experienced supply chain professionals help interpret planning outputs, refine planning processes, and ensure that planning decisions align with broader business objectives. Together, these elements create a continuously managed planning capability rather than a static technology implementation. Why Artificial Intelligence Is Accelerating This Model Artificial intelligence is one of the primary forces driving interest in Planning as a Service. Traditional planning systems could operate relatively unchanged for many years. Once implemented, organizations might make periodic adjustments to forecasting models or planning parameters, but the overall structure of the system remained stable. AI driven planning environments behave differently. Machine learning models require ongoing training and monitoring. New data sources can introduce new insights but also require adjustments to planning logic. Analytical approaches continue to evolve as new techniques emerge. For organizations attempting to maintain these capabilities internally, the pace of change can be difficult to manage. Planning as a Service provides a model where these capabilities are continuously maintained and improved by teams that specialize in planning technology, data science, and supply chain operations. This allows organizations to benefit from evolving analytical capabilities without needing to rebuild internal technology and analytics teams every time new tools or models emerge. Why This Idea Can Feel Uncomfortable For many supply chain leaders, the idea of Planning as a Service raises an immediate concern. Planning is one of the most strategic capabilities inside a supply chain organization. Forecast assumptions, supply allocation decisions, inventory strategies, and network tradeoffs directly influence customer service levels, working capital, and operational risk. These decisions rely on a deep understanding of products, markets, customers, and internal operations. Because of this, many leaders instinctively hesitate when they hear the idea of delivering planning through an external service model. The most common reaction is simple. If planning becomes a service, are we giving away one of the most critical sources of operational knowledge in our organization? This concern is valid. Supply chain knowledge is a core asset for many companies, and leaders are understandably cautious about allowing that knowledge to move outside the organization. In many organizations, Planning as a Service does not mean outsourcing planning decisions or losing ownership of supply chain strategy. In most successful models, the organization continues to own the planning strategy, the decision authority, and the institutional knowledge of how the supply chain operates. Internal planners remain responsible for interpreting planning outputs and making the final decisions that balance service, cost, and risk. What changes is the way the underlying technology and analytical capabilities are maintained. Rather than expecting internal teams to maintain complex planning platforms, manage machine learning models, integrate new data sources, and continuously update analytical methods, those technical capabilities are supported by specialized teams that focus on maintaining and improving the planning environment. However, the model can look different depending on the organization. Larger enterprises often retain strong internal planning teams that work alongside service providers who manage the planning technology, analytical models, and supporting data infrastructure. In this structure, internal planners remain deeply embedded in the business and maintain close alignment with commercial, operations, and finance teams. In other cases, particularly within smaller organizations or companies that are earlier in their planning maturity journey, a greater portion of the planning function may be delivered through the service model. In these environments, external planners may operate the planning processes while working closely with internal business leaders to ensure that planning decisions reflect operational priorities and customer needs. In both cases, the goal is not to remove planning capability from the organization. The goal is to strengthen it by combining internal business knowledge with external expertise in planning technology, analytics, and advanced planning methods. In many ways, Planning as a Service is less about outsourcing planning and more about expanding the capabilities available to the planning organization. This distinction is important. Planning as a Service does not remove the need for strong internal planning leadership. Instead, it allows organizations to focus their internal teams on strategic decision making and cross functional alignment while specialized teams maintain the increasingly complex technology and analytical systems that support modern planning environments. For organizations evaluating this model, the real question is not whether planning knowledge leaves the organization. The question is whether external expertise can strengthen the planning capability while internal teams continue to own the decisions that shape the supply chain. The Growing Skills Gap in Modern Supply Chain Planning Another factor contributing to the rise of Planning as a Service is the rapid evolution of the skills required to operate modern planning environments. Supply chain planning has changed significantly over the past decade. Traditional planning roles focused heavily on managing forecasts, reviewing reports, and making adjustments within planning systems that operated on fixed cycles. Today's planning environments require a very different skill set. Modern planning platforms incorporate advanced analytics, probabilistic forecasting models, scenario simulation, and increasingly artificial intelligence capabilities. Planners are expected to interpret complex signals, evaluate multiple scenarios quickly, and understand how changes across the supply network influence service, cost, and risk. In many organizations, the planning tools themselves are becoming more sophisticated at the same time that experienced planning professionals are becoming harder to find. Many companies face a dual challenge. They need planners who understand both the operational realities of their supply chain and the analytical capabilities of modern planning systems. Developing that combination of skills internally can take years. Artificial intelligence adds another dimension to this challenge. AI driven planning systems require teams that understand how models behave, how data influences model outcomes, and how to interpret AI generated recommendations responsibly. For organizations already struggling to recruit and retain experienced planners, maintaining this level of analytical expertise internally can be difficult. Planning as a Service can help address this challenge by combining technology with teams that specialize in advanced planning environments. Instead of expecting every organization to build internal expertise across planning technology, analytics, and AI, the service model allows companies to leverage specialized planning knowledge while maintaining ownership of strategic decisions. In this way, Planning as a Service is not only about technology. It is also about ensuring that organizations have access to the expertise required to operate increasingly sophisticated planning environments. Five Questions to Ask When Considering Planning as a Service Planning as a Service is not the right solution for every organization. However, there are several questions that can help determine whether this model may be worth exploring. 1. Is maintaining advanced planning technology becoming difficult internally? If internal teams spend significant time maintaining planning systems, integrating new data sources, or managing analytical models, a service based approach may reduce that operational burden. 2. Do we have the internal expertise required to support advanced analytics and AI? AI driven planning environments require specialized skills in data science, model development, and system integration. Organizations should assess whether they can maintain these capabilities internally over time. 3. Are our planning processes evolving quickly? Companies experiencing rapid growth, product expansion, or supply network changes often require planning systems that evolve continuously. A service based model can provide more flexibility in adapting planning capabilities. 4. Are we struggling to keep planning technology aligned with business strategy? In some organizations planning systems become static while the business evolves. A managed planning capability can help ensure that planning processes remain aligned with strategic objectives. 5. Would access to external planning expertise improve decision quality? Planning as a Service often combines technology with experienced planners and analysts who help interpret planning insights and refine decision processes. These questions can help organizations determine whether a service based planning model could complement or replace traditional planning technology approaches. A New Way to Think About Planning Capability Planning as a Service represents a shift in how organizations think about supply chain planning technology. Instead of viewing planning systems as standalone tools that must be implemented and maintained internally, companies begin to think about planning as an ongoing capability that combines technology, analytics, and expertise. For some organizations, this model provides access to advanced planning capabilities that would be difficult to build internally. For others, it offers a way to maintain modern planning environments without constantly rebuilding technology infrastructure. As artificial intelligence continues to reshape supply chain planning, this model is likely to become an increasingly important option for organizations evaluating the future of their planning capabilities. Looking Ahead In the next article in this series, we will explore how Planning as a Service works in practice. Understanding the components that make up this model and how organizations are beginning to adopt it can help supply chain leaders determine whether this approach fits their long term planning strategy. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? Hide Toolbar Duration Only for this session 24 hours A Week Not Now Hide Toolbar Select your accessibility profile Vision Impaired Mode Enhances website's visuals Seizure Safe Profile Clear flashes & reduces colour ADHD Friendly Mode Focused browsing, distraction-free Blindness Mode Reduces distractions, improves focus Epilepsy Safe Mode Dims colours and stops blinking Content Modules Font Size + Default - Readable Font Line Height + Default - Cursor Letter Spacing Align Text Font Weight Colour Modules Light Contrast High Contrast Monochrome Orientation Modules Reading Line Reading Mask Hide Images Highlight Content Stop Animations Highlight Links Skip To Content Choose... Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Planning Is Not Just for Planners - neos by Argon & Co" source_url: "https://neosbyargonandco.com/planning-is-not-just-for-planners" page_path: "/planning-is-not-just-for-planners" page_type: "generic" crawled_at: "2026-09-23T13:46:33Z" content_changed_at: "2026-09-23T13:46:33Z" content_unchanged_days: 0 observed_days: 0 --- Planning Is Not Just for Planners - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Planning Is Not Just for Planners Why Executive Buy-In Is the Key to Transformation Diane Jordan November 11, 2025 Ask most supply chain leaders what's holding back their planning transformation, and they won't start with technology. They'll mention data challenges, disconnected processes, and siloed teams. But dig deeper, and a bigger issue emerges: executive disengagement . In many mid-market organizations, planning is still seen as a functional concern-handled by analysts, planners, or operations managers. But in today's volatile business environment, that mindset doesn't work. Planning is no longer just about inventory and service levels-it's about how the business navigates risk, captures growth, and makes faster, smarter decisions. To truly transform supply chain planning, executive sponsorship isn't optional-it's essential. Section 1: Planning Is a Strategic Capability, Not a Back-Office Process For years, planning lived quietly behind the scenes. But now, it directly affects the outcomes leadership cares most about: Revenue growth Cash flow and working capital Customer satisfaction Risk mitigation Agility in the face of disruption When planning is treated as a tactical process, these outcomes are left to chance. But when executives embrace planning as a strategic capability, the entire business becomes more connected, responsive, and aligned. This is especially true for mid-sized companies, where planning responsibilities often stretch across multiple roles and functions. Without clear ownership from the top, the system becomes fragmented-and the results follow. Section 2: What Happens When Leadership Stays Hands-Off Without executive involvement, planning transformations often stall or under-deliver. Here's what we typically see: No cross-functional alignment. Sales, operations, and finance continue operating from different assumptions and timelines. Tools go underutilized. New planning software is adopted at the surface level but doesn't drive change in behavior or decision-making. Data quality issues persist. Without executive pressure, critical data cleanup and governance work gets deprioritized. Planners operate in a vacuum. Key planning decisions are made without the context of broader business strategy. The result is a costly disconnect. According to BCG, companies that lack senior leadership in their supply chain initiatives are twice as likely to fail in achieving meaningful transformation. Section 3: Executive Buy-In Creates Leverage When senior leaders take ownership of planning transformation, three things change immediately: Planning becomes cross-functional. Initiatives like S&OP, inventory optimization, and scenario planning get out of the weeds and into strategic conversations. Technology gets adopted with purpose. Executives align the investment in new tools with clear KPIs and long-term goals-not just quick wins or department-level fixes. Change happens faster. Teams rally behind transformation when leadership models the importance and urgency of planning excellence. This level of sponsorship doesn't require executives to manage forecast accuracy or configure dashboards-it requires them to set the tone, own the outcomes, and remove roadblocks . Section 4: The Right Questions Executives Should Be Asking Not sure what executive engagement in planning looks like? Start here: Are our planning decisions aligned to business strategy and financial goals? Do we trust the data and assumptions behind our forecasts? Can we model scenarios and tradeoffs quickly when market conditions change? Are functions collaborating-or just coexisting? Do we have one version of the truth? These aren't IT questions or planning questions. They're leadership questions -and answering them well creates a culture of agility, accountability, and forward-thinking decision-making. Conclusion: Planning Belongs in the C-Suite For mid-market companies, supply chain planning has the potential to be a competitive differentiator. But only if it's treated that way. When executive leadership is engaged, planning stops being a back-office function and becomes a growth enabler. And in a world defined by disruption, speed, and complexity-that shift is no longer optional. At Scott Sheldon, we work with growth-focused companies to align planning strategy with executive vision-ensuring your technology, process, and people are all moving in the same direction. If you're looking to turn planning into a business advantage, let's start with a conversation. Sources: BCG, "Why Supply Chain Transformations Fail," 2023 Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Planning - neos by Argon & Co" source_url: "https://neosbyargonandco.com/planning" page_path: "/planning" page_type: "generic" crawled_at: "2026-09-23T13:46:26Z" content_changed_at: "2026-09-23T13:46:26Z" content_unchanged_days: 0 observed_days: 0 --- Planning - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co Supply chain planning that powers confident decisions Partner with neos to modernize planning, accelerate decisions, and turn complexity into supply chain advantage. Planning Planning has become the heartbeat of the modern supply chain. Strong supply chain planning is no longer a back office function. It is a competitive advantage. Faster decisions. Greater complexity. More disruption than ever. From demand forecasting and inventory optimization to production scheduling and sustainability-aware planning, the choices your team makes today shape how the whole business performs tomorrow. That advantage starts with connected planning. It unlocks the speed, visibility, and confidence today's supply chain demands. Advanced Planning Solutions (APS) bring it all together, from demand and supply to inventory, production, and operations, so your team can respond to disruption faster, align strategy with execution, and make better decisions every day. But technology alone never delivers transformation. The strongest results come from a partner who understands the operational realities behind every planning decision, and how supply chains actually run day to day. Neos brings deep APS expertise paired with real operational experience, applied across every stage of your planning journey: Planning maturity assessments and transformation roadmaps APS selection, implementation, integration, and optimization Manufacturing scheduling, inventory optimization, and scenario planning Planning as a Service, application support, and managed services And the planning landscape is evolving fast. AI-enabled decision support, advanced optimization, manufacturing scheduling, and flexible delivery models are rewriting what's possible. The organizations winning today are the ones turning these new capabilities into real operational results, not just bigger tech stacks. The hard part is not knowing what's possible. It is making it work. We help you extend existing platforms, layer in advanced capabilities, and tap into flexible Planning as a Service models built around how your business actually runs. And we do not stop at go-live. The pressure on planning teams keeps coming, and our partnership keeps pace. We stay close, solving problems alongside your team, moving quickly, and keeping every improvement focused on measurable value that grows as your business evolves. That is the difference a true planning partner makes. It comes down to what we bring: deep APS expertise, real operational experience, and a practical, partnership first approach. The result is value delivered faster, planning capabilities your team trusts every day, and the agility to adapt as conditions change. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.Lorem ipsum dolor sit amet consectetur adipiscing elit dolor John Doe Because in the end, planning transformation is about more than technology. It is about building teams that decide faster, respond smarter, and keep raising the bar long after go-live. That is why organizations partner with neos for supply chain planning: practical expertise, real experience, and a long term partnership that turns ambition into results. Learn more about the neos approach -> here. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Preparing for the Unpredictable: Enhancing Supply Chain Resilience in Today's World - neos by Argon & Co" source_url: "https://neosbyargonandco.com/preparing-for-the-unpredictable-enhancing-supply-chain-resilience-in-todays-world" page_path: "/preparing-for-the-unpredictable-enhancing-supply-chain-resilience-in-todays-world" page_type: "generic" crawled_at: "2026-09-23T13:46:36Z" content_changed_at: "2026-09-23T13:46:36Z" content_unchanged_days: 0 observed_days: 0 --- Preparing for the Unpredictable: Enhancing Supply Chain Resilience in Today's World - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Preparing for the Unpredictable: Enhancing Supply Chain Resilience in Today's World FMCG supply chains prioritise resilience amid rising disruption and risk. admin April 1, 2025 In a rapidly evolving global landscape, supply chain resilience has become crucial for organisations aiming to maintain competitiveness and operational stability. We recently partnered with the Australian Food and Grocery Council (AFGC) to conduct a comprehensive survey examining current trends and challenges in the FMCG industry. The findings, published in our Supply Chain Survey Report , highlight the need to strengthen supply chains against disruptions and equip businesses with strategies to cope with unforeseen challenges. Key Findings from the 2024 AFGC Supply Chain Survey The survey report highlighted several pressing issues confronting the FMCG sector: Rising Costs: A significant challenge across supply chains is the increasing cost of raw materials, freight, and logistics. Efficiency and cost reductions have thus emerged as top priorities for the coming year. Environmental Challenges: Companies report a lack of readiness in addressing environmental challenges, emphasising the need for sustainable practices and climate change mitigation. Significant Disruption Impacts: The sector continues to grapple with disruptions, notably those affecting international shipping, which have been exacerbated by recent geopolitical tensions. Investment in Planning Systems and AI: Increased investment in planning systems and AI technologies is on the horizon, with a focus on enhancing supply chain visibility and responsiveness. Talent Shortages: Workforce development, particularly in data analytics and AI, remains a critical area that needs immediate attention. Global Trends and Their Impact Globally, supply chains are experiencing heightened disruptions, with a 38% increase in recorded incidents in 2024 compared to the previous year. Key global trends include: Geopolitical Risks: Political instability and trade restrictions are posing significant barriers to supply chain stability. Environmental and Sustainability Concerns: CEOs are increasingly concerned about ESG violations within their supply chains. Cybersecurity Threats: Vulnerabilities to cyber threats and data breaches remain a critical concern. Financial and Operational Risks: Issues such as supplier insolvency, poor quality control, and labour shortages are affecting supply chain efficiency. Transitioning from Risk to Resilience To navigate these challenges, we need to shift our focus from simply identifying risks to actively building resilience. At Argon & Co, we recommend the following strategies: Focus on Critical Functions: Identify and prioritise business-critical functions that will significantly impact operations during disruptions. Develop Scenario Planning: Engage in scenario-based planning to mature risk identification into strategic responses. Diversify Supply Sources: Mitigate risks by diversifying sourcing strategies, reducing reliance on high-risk suppliers. Enhance Visibility and Agility: Leverage technology such as AI, IoT, and automation to increase visibility and collaboration across supply chains. Preparing for the unpredictable requires a proactive approach. Our team is equipped with the expertise and insights to guide businesses through this transformation. Contact our experts today to discover tailored solutions that will enhance your supply chain's resilience and readiness for the future. View the full webinar recording here . Password: SC@&Ca4Gc Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? Hide Toolbar Duration Only for this session 24 hours A Week Not Now Hide Toolbar Select your accessibility profile Vision Impaired Mode Enhances website's visuals Seizure Safe Profile Clear flashes & reduces colour ADHD Friendly Mode Focused browsing, distraction-free Blindness Mode Reduces distractions, improves focus Epilepsy Safe Mode Dims colours and stops blinking Content Modules Font Size + Default - Readable Font Line Height + Default - Cursor Letter Spacing Align Text Font Weight Colour Modules Light Contrast High Contrast Monochrome Orientation Modules Reading Line Reading Mask Hide Images Highlight Content Stop Animations Highlight Links Skip To Content Choose... Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Privacy Policy - neos by Argon & Co" source_url: "https://neosbyargonandco.com/privacy-policy" page_path: "/privacy-policy" page_type: "generic" crawled_at: "2026-09-23T13:46:40Z" content_changed_at: "2026-09-23T13:46:40Z" content_unchanged_days: 0 observed_days: 0 --- Privacy Policy - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co Privacy Policy Legal Argon & Co is the trading name of Argon Consulting S.A.S, which is incorporated in France under company number 398 742 593- RCS Nanterre. Registered office: Argon Consulting, 122 rue Edouard Vaillant, 92300 Levallois-Perret, France Privacy Argon & Co take your privacy very seriously and in compliance with Data Protection Act 2018 and the General Data Protection Regulations is committed to ensuring that your data and privacy is protected. Should we ask you to provide certain information by which you can be identified when interacting with us, you can be assured that it will only be used in accordance with this privacy statement. Argon & Co is a data controller (referred to in this policy as 'we' or 'us') for data we collect through our website when you make an inquiry, you are part of our Alumni or are looking to work for us. We are data processor for the data we use in our relationships with our clients and while this data is mainly for business purposes and processing, we recognize that we will still be making use of personal data of the employees or business contacts with each client. We may change this policy from time to time by updating this page. You should check this page periodically to ensure that you are happy with any changes. This policy was last updated August 22. Data Collection Personal Data Argon & Co offer operations strategy and transformation services, and to provide you with these services we may collect personal information which we receive when you: Register or inquire of our services Download a report Join our mailing list Attend or approach us to attend one of our Alumni events Apply to join or work for Argon & Co Contact us or use our website The data we may collect from you includes: Your personal details, which include your email address, phone number, company, job title and industry Your account login details, such as your username and the password that you have chosen Information about your online browsing behavior on our website Information about any devices you have used to access our website (including the make, model and operating system, IP address, the address of the web site from which you linked, browser type and mobile device identifiers, etc) HTTP protocol elements (your server address and top-level domain name (e.g. .com, .gov etc), date and time of visit, etc) Search terms Why we collect personal data Data we use is collected directly from you and is collected for the purposes of: Fulfilling our contractual services with you To provide you with services that you may request from us For our legitimate interests in making you aware of areas that may be of interest to you or the let you know about other product and services offered To provide you with updates when subscribing to our mailing list Meeting our legal and regulatory obligations as an employer For the safeguarding and care of our staff and guests For website and system administration For research and development For our web users we collect data for statistical purposes only (e.g. to measure the use/performance of the site) except in the event of a security breach when they could be used for tracing the breach. No information gathered from weblogs is given or sold to any third party. Any personal information that you provide to us will only be used for the purpose stated at the time we request it. This information will not be disclosed to a third party except where authorized by you or as otherwise permitted by the Data Protection Act and the General Data Protection Regulations. How long we retain your personal data We will retain a record of your personal information. This is done to provide you with high quality and consistent service. We will always retain your personal information in accordance with law and regulation and never retain your information for longer than is necessary. Data security Keeping your information safe and secure We are committed to ensuring that your personal information is secure and protecting it from being inappropriately or accidentally accessed, used, shared or destroyed, and against it being lost. In order to prevent unauthorized access or disclosure, we have put in place suitable physical, electronic and managerial procedures to safeguard and secure the information we collect online and in paper form and only provide access to your data to only staff who require access. We use iThemes security to keep our website data secure. iThemes collects the IP address of visitors, user ID of logged in users, and username of login attempts are conditionally logged to check for malicious activity and to protect the site from specific kinds of attacks. Examples of conditions when logging occurs include login attempts, log out requests, requests for suspicious URLs, changes to site content, and password updates. This information is retained for 30 days. This site is scanned for potential malware and vulnerabilities. and is part of a network of sites that protect against distributed brute force attacks. To enable this protection, the IP address of visitors attempting to log into the site is shared with a service provided by iThemes.com. For privacy policy details, please see the iThemes privacy policy. International data transfers In our normal business activities, we do not share data outside the EEA unless necessary within our own Group companies and only for the purposes of providing you with our services. Personal data may be transferred to countries outside the EEA as part of the process of bidding for new work (i.e. employee CVs, visa or passport information as evidence of the right to work in a country). Any data transferred outside the EEA will potentially be processed in countries that are not deemed as safe territories within the Data Privacy legislation so Argon & Co will only undertake these transfers to companies that have accepted our terms of business, which documents their data protection responsibilities and where we consider appropriate safeguards and security measures are in existence or where we have consent from you. Keeping your information safe and secure We are committed to ensuring that your personal information is secure and protecting it from being inappropriately or accidentally accessed, used, shared or destroyed, and against it being lost. In order to prevent unauthorized access or disclosure, we have put in place suitable physical, electronic and managerial procedures to safeguard and secure the information we collect online and in paper form and only provide access to your data to only staff who require access. We use iThemes security to keep our website data secure. iThemes collects the IP address of visitors, user ID of logged in users, and username of login attempts are conditionally logged to check for malicious activity and to protect the site from specific kinds of attacks. Examples of conditions when logging occurs include login attempts, log out requests, requests for suspicious URLs, changes to site content, and password updates. This information is retained for 30 days. This site is scanned for potential malware and vulnerabilities. and is part of a network of sites that protect against distributed brute force attacks. To enable this protection, the IP address of visitors attempting to log into the site is shared with a service provided by iThemes.com. For privacy policy details, please see the iThemes privacy policy. International data transfers In our normal business activities, we do not share data outside the EEA unless necessary within our own Group companies and only for the purposes of providing you with our services. Personal data may be transferred to countries outside the EEA as part of the process of bidding for new work (i.e. employee CVs, visa or passport information as evidence of the right to work in a country). Any data transferred outside the EEA will potentially be processed in countries that are not deemed as safe territories within the Data Privacy legislation so Argon & Co will only undertake these transfers to companies that have accepted our terms of business, which documents their data protection responsibilities and where we consider appropriate safeguards and security measures are in existence or where we have consent from you. Cookies Definition and why they are used Cookies are small data files that allow a website to collect and store a range of data on your desktop computer, laptop or mobile device. Cookies contain information unique to your web browser which allows the website to remember your choices and preferences during your visit, but they do not include personal information that can identify you. Cookies help us to provide important features and functionality on our website and we use them to improve your customer experience. Cookies help our website recognize your device and remember little bits of information about your visit like your preferences, settings and how you use the website. This information is then used to personalize and improve the way you interact with our site. How we use cookies We use cookies to do the following: Research and development: cookies can help us to understand how our website is being used. These cookies are used in the management of the site and include recording visitor numbers and other web analytics. Cookies allow us to improve the way our website works so that we can personalize your experience. Measuring the effectiveness of our marketing communications: we use cookies to measure the effectiveness of our marketing communications, for example by telling us if you have opened a marketing email that we have sent you. Google Analytics and cookies Google Analytics is a web analytics service provided by Google, Inc., which uses cookies to help analyze how users use this website. The information generated by the cookie about your use of this Site (such as your IP address, the URL visited, the date and time the page was viewed) will be transmitted and stored by Google on servers in the United States. Google will use this information to monitor your use of this site, compiling reports on website activity for website operators and providing other services related to website activity and internet usage. Google may transfer this information to third parties where required by law, or where such third parties process information on Google's behalf. Our Google analytics data is deleted every 26 months. For more information about Google's privacy policy in respect of Google Analytics, please refer to http://www.google.com/analytics/learn/privacy.html You may opt-out of Google Analytics by visiting https://tools.google.com/dlpage/gaoptout?hl+en=GB You may stop or restrict the placement of cookies on your computer by adjusting your settings in your web browsers. However, this may interfere with some of the functionality of the site. You can find more detailed information about how you can manage cookies at all about cookies and the websites of your online choice. Sharing your data with third parties Access to your personal information is only allowed when required by the law or is required as part our fulfilling our service obligations. We do not, and will never, sell or share your personal information with other third parties. For our general data processing activities, we use the following to help us administer and monitor the services we provide: External IT support to ensure our IT and security measures are sufficiently robust to protect your data For database management of our client services For the administration and monitoring of our staff records For payroll and financial accounting To help us share information and administer the services when you subscribe to our mailing list For the provision of CCTV General Links to other sites We sometimes provide you with links to other websites, but these websites are not under our control. Therefore, we will not be liable to you for any issues arising in connection with their use of your information, the website content or the services offered to you by these websites. We advise you to consult the privacy policy and terms and conditions on each website to see how each supplier may process your information Access to collected information It is important that the personal information we hold about you is accurate and current. If you believe that any information we are holding on you is incorrect or incomplete, please write to or email us as soon as possible. We will promptly correct any information found to be incorrect. Under certain circumstances, you have rights under the EU General Data Protection Regulation 2016/679 (GDPR) in relation to your personal information. You may have the right to: Access information held about you; your right of access can be exercised in accordance with data protection law Object to us processing or ask us to restrict our processing of your personal information for any of the purposes listed in this policy, at any time Ask us to update and correct any out-of-date or incorrect personal information that we hold about you free of charge Ask us to erase or delete your personal information (in certain circumstances). We will do our best to respond to such requests, but these are subject to certain limitations such as legal requirements Request a transfer of your personal information (in certain circumstances) If you wish to exercise any of the above rights or to review, verify, correct or question anything detailed in this policy , a dedicated personal data protection contact can be reached at the following contact: Call: +33 1 55 46 13 00 Email: [email protected] Write: Argon & Co, 122 rue Edouard Vaillant, 92300 Levallois-Perret, France You also have the right to make a complaint at any time to the National Commission on Informatics and Liberty (CNIL), the supervisory authority for data protection issues (www.cnil.fr). We would, however, appreciate the chance to deal with your concerns before you approach the CNIL, so please contact us in the first instance. Changes to our privacy policy We may change our privacy policy from time to time. Any changes will be published on our website which can be accessed at any time. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Procurement - neos by Argon & Co" source_url: "https://neosbyargonandco.com/procurement" page_path: "/procurement" page_type: "generic" crawled_at: "2026-09-23T13:46:43Z" content_changed_at: "2026-09-23T13:46:43Z" content_unchanged_days: 0 observed_days: 0 --- Procurement - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co Procurement that turns spend into business advantage Partner with neos to modernize procurement, strengthen supplier relationships, and turn spend into competitive advantage. Procurement Procurement has changed. It is no longer about managing transactions. It is about creating value, controlling cost, strengthening supplier relationships, and helping the whole business move faster. From sourcing and spend management to supplier collaboration and risk, the modern procurement function is now one of the most strategic levers a business has. But pulling that lever is hard when processes are disconnected and spend is hidden. Limited supplier visibility, fragmented systems, and manual workflows make it difficult to manage risk, capture savings, and run procurement consistently across the business. The strongest procurement functions operate differently, with connected processes, clear visibility, and technology that helps teams work smarter. That is where neos partners with you. We bring practical procurement and operational experience that turns procurement goals into commercial outcomes. We understand how procurement decisions ripple across the business, and we apply technology to strengthen every stage of your procurement journey: Procurement maturity assessments and transformation roadmaps Procure-to-pay (P2P) and source-to-contract (S2C) implementation Spend analytics, supplier onboarding, and process improvement Application support, ongoing optimization, and managed services And procurement is changing faster than ever. Automation, AI-enabled insights, and connected platforms are reshaping how companies manage sourcing, purchasing, and supplier engagement. As supplier networks grow more dynamic and expectations keep climbing, procurement leaders are being asked to operate with greater speed, agility, and accountability. The challenge is rarely seeing what to change. It is knowing what will move the needle most. We help you modernize procurement in practical ways that strengthen the business, improve supplier engagement, and avoid unnecessary complexity. And the work does not stop at go-live. The strongest procurement results come from capabilities your team adopts, trusts, and keeps improving as the business evolves. We stay focused on creating practical, sustainable improvements that deliver real value long after implementation is complete. What sets procurement apart is its reach across the business, from supplier relationships to supply chain performance to finance. Neos partners with you to connect those dots, applying procurement technology with the broader business in view. The result is faster value, stronger supplier performance, and procurement your business relies on. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.Lorem ipsum dolor sit amet consectetur adipiscing elit dolor John Doe Strong procurement is built over time, through the right blend of technology, operational alignment, and practical execution. Neos partners with you to make that real. The result is procurement that delivers measurable value, sharper commercial outcomes, and the kind of competitive edge that compounds as your business grows. Learn more about the neos approach -> here. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Promat 2025: Unveiling the Future of Supply Chain Innovation - neos by Argon & Co" source_url: "https://neosbyargonandco.com/promat-2025-unveiling-the-future-of-supply-chain-innovation" page_path: "/promat-2025-unveiling-the-future-of-supply-chain-innovation" page_type: "generic" crawled_at: "2026-09-23T13:46:47Z" content_changed_at: "2026-09-23T13:46:47Z" content_unchanged_days: 0 observed_days: 0 --- Promat 2025: Unveiling the Future of Supply Chain Innovation - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Promat 2025: Unveiling the Future of Supply Chain Innovation Automation and AI take center stage at ProMat 2025, reshaping supply chain. admin March 27, 2025 ProMat 2025 has once again reaffirmed its status as the world's premier manufacturing and supply chain event, attracting over 50,000 attendees and featuring more than 1,200 exhibitors who showcased the latest in logistics, storage, software, and supply chain innovations. Over the course of three days, industry leaders, innovators, and enthusiasts gathered to explore groundbreaking advancements poised to transform supply chain operations worldwide. Day 1 Highlights: Emerging Technologies and Automation The first day set the stage with emerging technologies like Geek+'s rack-mounted robo shuttle and Dexory's virtual forklift training, which promise to redefine operational efficiencies. These innovations offer significant enhancements in performance, training, and resource management. The introduction of Knapp's Aerobot rack-climbing shuttle, now a Logimat award winner, was particularly impressive, demonstrating four-deep storage capability and international availability. Day 2 Insights: Meeting the Minds Behind Innovation Day two facilitated deeper conversations, with notable visits to the innovation center and discussions with Tully, the creators of a remarkable order orchestration module that optimizes picking by over 20%. This module, designed to enhance warehouse management systems, is a testament to the transformative power of streamlined processes. HWA Robotics showcased a versatile shuttle, perfect for e-commerce and flexible automation, while Mobile Demand's mobile dimensioning solution addressed critical master data challenges. Day 3 Revelations: AI, Preventative Maintenance, and More The final day introduced intriguing new concepts, including Tinman Systems' conveyor inspection system for preventative maintenance. This system, equipped with advanced sensors and cameras, offers real-time assessment of conveyor systems, promising to revolutionize maintenance protocols. AI's pervasive presence was notable, with companies like Loop and Gather.AI demonstrating viable applications in supply chain invoicing and data analysis, respectively. The Path Forward with neos by Argon & Co At neos by Argon & Co, our commitment to amplifying the effectiveness of supply chain operations aligns seamlessly with the innovations witnessed at Promat 2025. As a trusted digital supply chain technology partner, we continually integrate cutting-edge solutions into our service offerings, ensuring that businesses remain at the forefront of industry advancements. Our holistic approach, combining strategy, advisory, and execution, allows us to bridge gaps between supply chain transformation and successful systems implementation. The insights gained from Promat will further enrich our methodologies, enabling us to deliver unparalleled value through logistics, planning, procurement, and manufacturing solutions. Embracing the Future Promat 2025 has underscored the dynamic nature of the supply chain industry, with innovations poised to redefine processes and efficiencies. As we reflect on these developments, neos by Argon & Co remains dedicated to harnessing these insights to drive transformative change for our clients, ensuring their operations are agile, resilient, and prepared for the future. Stay tuned as we continue to explore and integrate these advancements, empowering businesses with the tools and technologies necessary to thrive in an ever-evolving landscape. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Remote Sites, Real-Time Decisions: Why Visibility Is Your Competitive Edge - neos by Argon & Co" source_url: "https://neosbyargonandco.com/remote-sites-real-time-decisions-why-visibility-is-your-competitive-edge" page_path: "/remote-sites-real-time-decisions-why-visibility-is-your-competitive-edge" page_type: "generic" crawled_at: "2026-09-23T13:46:50Z" content_changed_at: "2026-09-23T13:46:50Z" content_unchanged_days: 0 observed_days: 0 --- Remote Sites, Real-Time Decisions: Why Visibility Is Your Competitive Edge - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Remote Sites, Real-Time Decisions: Why Visibility Is Your Competitive Edge Diane Jordan March 5, 2026 Mining doesn't happen in easy places. Operations are often isolated, infrastructure is limited, and communication lags are the norm. Yet, in today's volatile and high-pressure environment, supply chain speed, precision, and agility are more critical than ever. The challenge? Many mining companies are still making critical decisions without a clear, real-time picture of what's happening across their network. And nowhere is this more evident - or more dangerous - than in remote site operations. The Strategic Cost of Blind Spots Operating in remote environments introduces inherent complexity: Weather delays, equipment failures, or safety issues can halt production instantly Long lead times for materials and labor make agility difficult Communication gaps between field teams, headquarters, and logistics partners disrupt planning These conditions magnify one of the most dangerous dynamics in a modern supply chain: decision-making in the dark. When operational data is delayed, disconnected, or invisible: Shipments are missed due to poor coordination Assets sit idle , waiting on upstream processes Costs spike from avoidable expedites or detention Customers lose confidence due to unpredictable fulfillment Industry Insight: Mining companies operating without integrated site-level visibility report 20-30% higher logistics costs and 40% more unplanned rescheduling events , according to BCG and McKinsey studies. What Real Visibility Looks Like - And Why It Matters Real-time visibility is not just a technology feature - it's a core capability for any modern mining operation. It goes beyond tracking. It enables: Live monitoring of material movements, asset locations, and inventory levels across multiple nodes Integrated alerts tied to planning rules, so the right people are notified when something goes off course Dynamic re-planning , not after the fact - but as events unfold End-to-end collaboration , with shared data flowing between operations, logistics, vendors, and commercial teams Without this kind of visibility, operations remain reactive - always one step behind disruption. Four Ways Real-Time Visibility Delivers Competitive Advantage 1. Risk Reduction in Remote Environments Unexpected changes - a blocked haul road, a port bottleneck, a supplier delay - don't need to become emergencies. Real-time visibility turns surprises into manageable exceptions. 2. Faster Time-to-Action With instant access to live data, planners and operations leaders can make high-stakes decisions in hours, not days. This is essential when managing dynamic markets or strict service-level agreements. 3. Better Asset and Resource Utilization Mining assets - trucks, loaders, trains, conveyors - are capital-intensive. When you can see where bottlenecks and idle time exist in real time, you can optimize flow and reduce cost-per-ton. 4. Improved Forecast Accuracy and Scheduling Visibility doesn't just help in the moment - it strengthens the planning process. With accurate site-level data feeding into forecasting and logistics models, companies build smarter schedules and tighter demand plans. Callout: In a recent benchmarking project, companies with mature visibility capabilities achieved 25% fewer shipment delays , 30% faster planning cycle times , and significantly lower emergency freight costs compared to peers without integrated views. Leading Practices in Visibility Implementation Progressive mining firms are moving beyond static spreadsheets and siloed reports. They're adopting advanced tools and workflows to: Integrate IoT data from remote equipment with planning systems Build control tower dashboards customized for mining KPIs Create real-time syncs between production, inventory, and logistics platforms Enable automated alerts for disruptions at any point in the supply chain Share live information with external partners (e.g., rail, barge, port operators) This isn't about "more reports" - it's about building a nervous system that can sense, respond, and adapt. Conclusion: Invisibility Is a Strategic Risk In mining, distance is unavoidable - but disconnection is a choice. Every moment without visibility is a moment where cost, time, and trust can be lost. Companies that invest in real-time visibility aren't just gaining efficiency - they're building a structural advantage. They see risks before they escalate. They make decisions faster. They serve customers with confidence. And in an industry that's under pressure from every direction - that visibility could be the edge that makes all the difference. Citations & Sources EY - Top 10 Business Risks and Opportunities for Mining and Metals in 2024 BCG - The Digital Mine: How Mining Companies Are Using Tech to Drive Performance McKinsey & Company - Reimagining Mining Supply Chains in a Digitally Connected World Esri - GIS for Real-Time Visibility in Remote Operations Gartner - Supply Chain Technology User Wants and Needs Report Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Reskill, Don't Replace: How to Prepare Your Supply Chain Team for the AI Era - neos by Argon & Co" source_url: "https://neosbyargonandco.com/reskill-dont-replace-how-to-prepare-your-supply-chain-team-for-the-ai-era" page_path: "/reskill-dont-replace-how-to-prepare-your-supply-chain-team-for-the-ai-era" page_type: "generic" crawled_at: "2026-09-23T13:46:54Z" content_changed_at: "2026-09-23T13:46:54Z" content_unchanged_days: 0 observed_days: 0 --- Reskill, Don't Replace: How to Prepare Your Supply Chain Team for the AI Era - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Reskill, Don't Replace: How to Prepare Your Supply Chain Team for the AI Era Diane Jordan October 14, 2025 If you're a supply chain leader, here's the good news: you likely already have the talent you need to thrive in the age of AI. The challenge? That talent needs support-not replacement. As AI becomes embedded in planning, forecasting, inventory, and execution, the most successful companies won't be those with the flashiest new tools. They'll be the ones that invest in helping their people evolve alongside the technology-building a workforce that's confident, capable, and ready to lead change. Why Reskilling Matters More Than Rehiring The cost of turnover is high-and it's not just financial. Institutional knowledge, process understanding, and cross-functional relationships don't show up in a job description. When you lose experienced planners, you lose insight into why your supply chain operates the way it does. In today's tight labor market, replacing experienced team members with "AI-ready" hires isn't a sustainable strategy. The organizations that thrive will be those that recognize AI success is 20% about the algorithm and 80% about adoption. Reskilling delivers long-term value: Retains critical business and domain knowledge that can't be replicated overnight Speeds up technology adoption through internal champions who already understand the business Builds trust and resilience during times of change Unlocks untapped potential from the people you already have Where to Start: The Core Competencies to Build The skills needed for AI-supported supply chain planning aren't all technical. In fact, many of the most important capabilities are human-centered -focused on how people think, collaborate, and make decisions. Data Literacy Your team doesn't need to become data scientists-but they do need to understand how data flows through systems, what makes it trustworthy, and how to identify anomalies before they become problems. Think of this as teaching "data intuition"-the ability to question, not just consume, what AI outputs. Tool Fluency Modern planning platforms, digital twins, and scenario tools are increasingly intuitive-but they still require time and confidence to use effectively. Upskilling your team on these tools ensures they can experiment, model, and learn without fear of "breaking" the system. Critical Thinking AI can surface recommendations, but it can't always validate them. Empower your team to challenge assumptions, ask "what if," and interpret outputs through the lens of business context. This is how humans stay in the loop-and how organizations make smarter, faster decisions. Cross-Functional Communication As planning becomes more integrated, supply chain professionals need to speak the languages of finance, sales, and operations. Reskilling here means more than presentation skills-it's about driving alignment and decision confidence across functions. Change Leadership at Every Level Reskilling isn't just for the frontline-it's for managers and executives too. Leaders must model curiosity, champion training, and connect technology change to business outcomes. Culture follows example. Build, Buy, or Borrow? Reskilling doesn't mean reinventing your organization. It means taking a deliberate approach to developing the right mix of talent and experience: Build internal capability through short-form learning, peer mentoring, and project-based training tied to real business challenges Buy selectively where advanced technical or transformation leadership skills are needed Borrow expertise from consultants and interim specialists who can accelerate capability while transferring knowledge to your internal team This blended approach keeps momentum high while ensuring your team remains at the center of your transformation journey. Don't Wait for "The Big Transformation" Reskilling doesn't have to wait for a platform go-live or a major reorg. In fact, it's better if it doesn't. Why? Because change-readiness = adoption-readiness. When your team already knows how to think critically, interpret data, and communicate across silos, they'll embrace new tools instead of resisting them. Small, continuous learning initiatives today lay the groundwork for large-scale transformation tomorrow. The Takeaway AI isn't here to replace planners-it's here to amplify them. But that only works if your team is ready. The companies that win in the next decade won't be the ones with the biggest tech budgets-they'll be the ones that reskill, empower, and trust their people to lead alongside AI. Because in the end, the most powerful upgrade in your supply chain isn't a new platform. It's a better-prepared workforce. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Revolutionizing Supply Chain Management with Concurrent Planning - neos by Argon & Co" source_url: "https://neosbyargonandco.com/revolutionizing-supply-chain-management-with-concurrent-planning" page_path: "/revolutionizing-supply-chain-management-with-concurrent-planning" page_type: "generic" crawled_at: "2026-09-23T13:46:57Z" content_changed_at: "2026-09-23T13:46:57Z" content_unchanged_days: 0 observed_days: 0 --- Revolutionizing Supply Chain Management with Concurrent Planning - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Revolutionizing Supply Chain Management with Concurrent Planning Diane Jordan August 6, 2026 In today's dynamic global economy, supply chain management has never been more critical-or more complex. Traditional planning methods, which rely on sequential processes, are proving insufficient in an environment defined by rapid changes, unexpected disruptions, and increasing customer expectations. To stay competitive, businesses must embrace a smarter, more responsive approach: Concurrent Planning . The Problem with Traditional Planning Sequential planning, where each function operates independently and passes information down the line, creates significant inefficiencies. Data silos, delays, and limited visibility make it difficult for companies to adapt to sudden changes. These limitations often lead to increased costs, stock shortages, or missed opportunities, damaging both customer satisfaction and revenue performance. Enter Concurrent Planning Concurrent planning represents a transformative shift. By integrating people, processes, and technology, this approach enables real-time collaboration across all functions of the supply chain-supply, demand, production, finance, and beyond. Instead of waiting for information to trickle through departments, teams can collaborate simultaneously, supported by real-time data insights. This synchronization enables faster, smarter decision-making and greater flexibility to adapt to challenges. Whether responding to demand surges or navigating supply chain disruptions, concurrent planning provides the tools needed to pivot seamlessly. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "SAP - neos by Argon & Co" source_url: "https://neosbyargonandco.com/sap-digital-supply-chain" page_path: "/sap-digital-supply-chain" page_type: "generic" crawled_at: "2026-09-23T13:56:10Z" content_changed_at: "2026-09-23T13:56:10Z" content_unchanged_days: 0 observed_days: 0 --- SAP - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co SAP Creating connected supply chains built for resilience, responsiveness and performance. Meet SAP SAP Digital Supply Chain connects the processes, data and decisions that shape performance across the end-to-end supply chain. By bringing together planning, procurement, manufacturing, inventory, warehousing, transportation and logistics execution, SAP provides organisations with greater visibility across operations and a stronger foundation for coordinated decision-making. The result is a more connected supply chain that can respond faster to changing demand, supply disruption and customer expectations in increasingly complex global operating environments. From warehouse management and transportation to automation, inventory orchestration and advanced planning, SAP supports the integration of critical supply chain capabilities within a common digital ecosystem. Its solutions help organisations standardise processes where appropriate, improve collaboration across functions and sites, and create more reliable, data-driven operations. SAP Digital Supply Chain is designed to support transformation at every stage, from strategic planning and process design through implementation, optimisation and continuous improvement, helping businesses build resilient, responsive and high-performing supply chains. neos + SAP Neos by Argon & Co combines SAP technology expertise with deep supply chain and operational experience to help organisations move from strategy to execution. As an SAP services partner, neos supports digital supply chain transformation across planning, procurement, manufacturing, inventory, warehousing and transportation. Its specialist capability includes complex SAP logistics environments and SAP EWM, while its practitioner-led approach focuses on integration, user adoption, operational stability and measurable performance beyond go-live. SAP Services Partner SAP Supply Chain Technology Experts Full-Lifecycle SAP EWM Implementation and Re-implementation Enterprise-Grade Warehouse, Transportation and Inventory Solutions SAP Integration with Automation and Material Flow Systems Strategy, Implementation, Remediation and Post-Go-Live Support Practical Supply Chain Expertise across Complex Operating Environments Value Proposition Neos helps organisations turn SAP investment into connected, practical supply chain performance. Combining SAP capability with deep operational experience, we support clients across the full transformation lifecycle, from strategy and solution design through implementation, integration, stabilisation and optimisation. Our focus is on making SAP work across real operating environments, connecting people, processes and technology to deliver sustainable business value. Supply Chain Strategy and Roadmap Define the transformation ambition, priorities, business case and path to implementation. Process and Solution Design Translate operational requirements into fit-for-purpose SAP processes, structures and solutions. EWM Implementation and Re-implementation Design, configure, test and deploy warehouse management solutions for complex operating environments. Logistics and Warehouse Transformation Improve warehouse, inventory and transportation processes through integrated SAP capabilities. Planning and Inventory Orchestration Connect planning, supply, inventory and execution to improve visibility and decision-making. Integration and Automation Connect SAP with automation, material flow systems, RF scanning and other operational technologies. Go-Live, Remediation and Optimisation Support implementation, hypercare, issue resolution, user adoption and continuous performance improvement. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Seamless Mine Site M&A - neos by Argon & Co" source_url: "https://neosbyargonandco.com/seamless-mine-site-ma" page_path: "/seamless-mine-site-ma" page_type: "generic" crawled_at: "2026-09-23T13:47:01Z" content_changed_at: "2026-09-23T13:47:01Z" content_unchanged_days: 0 observed_days: 0 --- Seamless Mine Site M&A - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Seamless Mine Site M&A Mastering Supply Contract Transitions for Operational Readiness admin August 30, 2024 Mining operations require significant inputs of goods and services to enable them to operate and produce commodities for sale. The majority of the goods and services requirements should be covered by supply and services agreements with preferred suppliers to ensure continuity of supply of goods & services at the desired quality, at competitive pricing, and under fair and reasonable contractual conditions. When a buyer acquires a mining operation, it is critical that these supply and services agreements are in place at the completion date to ensure 'operational readiness' of the site under the new ownership. In an acquisition the seller may assign or novate these supply & services agreements to the buyer, or the buyer may have to establish new agreements with the current or alternative suppliers. This process can take a considerable amount of time and so the buyer should have an implementation plan in place well in advance of the completion date. The risk of not having an implementation plan in place and a capable team to implement the plan is a mine site that is not operational on completion date resulting in significant financial losses to the new buyer, and potentially defaulting on commodity sale contracts. Argon & Co's heavy industry team have worked with the buyers of mining operations to ensure the critical supply and services agreements are in place for operational readiness. In our experience the keys to success of a transition are: 1. Sale agreement Ensure all supply contract and purchasing related requirements are negotiated into the sale agreement, including all novated supply contracts documentation, item master data, vendor master data, inventory data, current purchase orders, and last 24-months purchasing history. This will ensure the transition team has the required information to negotiate stand-up supply agreements and purchasing systems can be populated ready for day 1 of operations. 2. Prioritise supply agreements Prioritise the goods and services agreements in terms of their size of spend, criticality to the operation, and current supply constraints. Items such as major services (contract mining, and drill and blast services), labour hire, subcontractors, operational IT licences, and goods such as fuel, OTR tyres, OEM parts, and explosives should have a high priority. Agreements that have to be stood-up will also have a higher priority than those agreement that are being novated to the buyer, as a tender of sole source negotiation will have to be completed for critical supply items to ensure a supply agreement is in place. If the buyer has current supply agreements with the new site's incumbent suppliers, this makes the sole source negotiations considerably easier with amendments made to the current agreements to include the new site volumes. In many cases due to the increase in volume, better pricing and contractual conditions can be achieved. Lower criticality items may not require an agreement to be put in place, with purchase orders to suffice until a contact is developed if required. 3. Review novated agreements The novated agreements should be reviewed before any novation deed is executed to ensure the agreements do not have any unacceptable risks such as take-or-pay obligations, exclusivity of supply, or unfavourable price rise and fall mechanisms. If market pricing is available from the buyer's current supply agreements with existing operations, a price benchmarking exercise should be complete to provide the buyer with confidence that the novated supply agreements have competitive pricing based on the supply volume. When these reviews have been completed, the novation deed should be executed with the correct signature blocks. 4. Implementation team The buyer's business-as-usual procurement team will typically not have the capacity and/or capability to transition the agreements to the buyer within the required timeframe. A designated implementation team is required to allocate 100% of their time to ensure all agreements are transitioned for day 1 of operations. Adequate legal resources also need to be allocated to the project to ensure the stand-up agreements are finalised within the timeframe. There can be significant contract departures that can overwhelm the business-as-usual legal team, causing bottlenecks in the contracting process. The preference is to utilise additional internal legal resources if possible as they better understand the buyer's risk profile and are not billing on time. It is important that there is clarity of roles during the implementation phase as there are typically many implementation teams working on areas that have the potential for double-up of work or key work areas to be missed. For example the collection of vendor pricing needs to be validated with their supply agreement pricing and there may be two separate teams collecting this information. 5. Key Stakeholders and contract ownership The higher prioritised agreements should have a nominated contract owner, contract holder, and subject matter expert to ensure the agreement meets the buyer's requirements and there is contract management resources in place from day 1. The implementation team will likely not provide the on-going management of the agreements, so there needs to be sufficient handover to ensure the contract holder understands the on-going tasks and obligations under the agreement. 6. Governance procedures A project specific governance process to review, endorse, approve and execute the deeds of novation and new supply agreements needs to be established at the start of the transition. The business-as-usual agreement signing process is typically not suitable for executing the volume of agreements within the timeframe, so amended delegations of authority should be established. The novated supply agreements are typically non-negotiable, so these agreements only require the appropriate risk and commercial reviews before execution. 7. Communicate with vendors The transition process can be very nervous time for the site's incumbent suppliers, particularly the local suppliers where the mine site may represent a high portion of their business. For this reason it is essential communicate with all suppliers regularly through the transition process and provide assurance to the suppliers that their supply to the site will not change. A town hall can be a quick way of communicating to suppliers and is more personable rather than a letter. A supplier communication protocol should be in place between the seller and the buyer. This provides a clear guideline of when the buyer can start direct communications with the site's suppliers. For stand-up contracts this is typically after an introduction meeting with the seller, buyer, and each key supplier attending, and after deeds of novation are executed for novated agreements. A supplier hotline should be set-up so that suppliers can speak to the buyer if they have any concerns. 8. Regular status meetings Regular status meetings with attendees from the seller and the buyer are important to manage the sale agreement transition plan, to remove roadblocks, and escalate any issues and risks that may put operational readiness at risk. These meetings are typically weekly to ensure issues and risks do not remain un-addressed for too long. 9. Document sharing platform A document sharing platform is a necessity to share documents between the seller and the buyer teams. This ensures an efficient document exchange process and provides project governance. Any document registers and status reports should be shared via this platform so there is one source of the truth and minimises duplication of work. To ensure your mine site M&A transition is seamless and your new operations are set up for success from day one, contact Argon & Co's heavy industry team today. Our expertise in operational readiness and supply contract transitions will guide you through the process and help you avoid costly disruptions. Let's discuss how we can support your upcoming acquisition and secure the continuity and efficiency of your operations. Reach out now to get started: [email protected] Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Selecting the Right Technology: A Best Fit Methodology - neos by Argon & Co" source_url: "https://neosbyargonandco.com/selecting-the-right-technology-a-best-fit-methodology" page_path: "/selecting-the-right-technology-a-best-fit-methodology" page_type: "generic" crawled_at: "2026-09-23T13:47:04Z" content_changed_at: "2026-09-23T13:47:04Z" content_unchanged_days: 0 observed_days: 0 --- Selecting the Right Technology: A Best Fit Methodology - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Selecting the Right Technology: A Best Fit Methodology Aligning strategy, people, and performance for long-term impact. admin August 7, 2025 As supply chains evolve in response to rapid technological advancements, selecting the right software solution has never been more critical. It's no longer just about adopting the latest tools-it's about choosing technology that aligns with your business strategy, integrates seamlessly with existing platforms, and supports long-term operational agility. A Best Fit methodology ensures that end-to-end supply chain requirements are addressed while also aligning with broader IT considerations such as enterprise architecture, data governance, scalability, and long-term support. Defining the Need for Change The journey begins with understanding why change is needed. Without clearly defined goals and desired outcomes, technology decisions risk falling short of expectations. Neos helps organisations clarify these strategic drivers, ensuring that technology investments are made with purpose and aligned to the overarching business strategy. With deep experience across industries such as retail, FMCG, heavy industry and healthcare, neos supports clients in identifying technologies requirements that are the best match for their operational context. The goal is simple: let technology serve your business, not constrain it. Aligning Technology with People and Processes Technology alone doesn't drive change-people and processes do. Neos emphasises the importance of embedding new systems within the fabric of day-to-day operations. This holistic approach ensures that solutions are adopted successfully and deliver measurable improvements in productivity, efficiency, and employee engagement. Navigating the Selection Process The technology selection process is filled with risk-ranging from misaligned functionality to poor implementation. Neos helps organisations avoid these pitfalls by anchoring the process in a clear understanding of business needs, future scalability, and implementation readiness. Through structured evaluation and independent advisory, neos ensures that your investment delivers genuine impact and long-term ROI. Driving Organisational Performance The ultimate goal of any technology initiative should be to unlock improved organisational performance. A Best Fit methodology enables businesses to reduce costs, improve agility, and accelerate return on investment. Neos's deep operational expertise ensures that technology isn't just implemented, it's optimised to deliver maximum value. Your technology strategy starts here Technology selection is a strategic decision that can redefine how your supply chain operates. By applying a Best Fit approach, organisations can ensure that every solution implemented is aligned with their objectives, empowering performance at every level. Neos brings the expertise, frameworks, and practical insight to guide organisations through the complexity of technology selection and integration. If you're ready to explore how a Best Fit elevate your operations, neos is here to support you on your journey to operational excellence. Reach out today. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Services - neos by Argon & Co" source_url: "https://neosbyargonandco.com/services" page_path: "/services" page_type: "service" crawled_at: "2026-09-23T13:47:08Z" content_changed_at: "2026-09-23T13:47:08Z" content_unchanged_days: 0 observed_days: 0 --- Services - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co Smarter supply chain transformation, end to end Why NEOS Experience makes the difference. The neos team brings firsthand industry perspective and understands the challenges supply chain leaders and their teams face every day. By combining this insight with deep technology and delivery expertise, we help companies implement solutions that drive measurable, lasting impact. 01. Planning Advanced planning from strategy through management Neos specializes in Advanced Planning Solutions, helping companies select, implement, and operate the right planning platforms for their business. Our services span the full lifecycle - from solution selection and deployment to training, optimization, and Planning as a Service (PaaS). Leaders in Advanced Planning Solutions (APS) We help companies translate planning technology into real operational performance - improving service levels, reducing costs, and enabling faster, more confident decision-making. Our experience spans global enterprises, complex regulated industries, and growing mid-market organizations alike. This breadth allows us to tailor planning solutions to each client's operating model while ensuring systems are practical, scalable, and aligned to business priorities. By elevating planning from a technical capability to a business discipline, we help organizations make better trade-offs and drive more resilient supply chain performance. "Advanced planning expertise that turns technology into real supply chain performance." 02. Procurement Procurement Transformation We help companies modernize procurement processes and operating models, enabling more efficient sourcing, stronger supplier collaboration, and sustainable cost improvements. Our approach shifts procurement from transactional buying to strategic value creation across the organization. World Leading Procurement Platforms We partner with leading procurement technologies to help organizations modernize sourcing and supplier management capabilities while improving visibility across the supply base. Our approach focuses on aligning procurement systems with operating models and business priorities, ensuring solutions are practical, scalable, and fully embedded into day-to-day decision-making. By turning procurement data into actionable insight, we enable smarter sourcing decisions, stronger supplier performance, and measurable financial impact. "Procurement expertise that turns data into smarter sourcing decisions." 03. Manufacturing Real Impact for Operational Performance We help manufacturers improve operational performance by strengthening process discipline, increasing visibility across production, and enabling faster, more informed decision-making. Our approach ensures operations are consistent, scalable, and able to respond to changing demand while maintaining quality and compliance. Unlock Manufacturing Value Drawing on deep operational experience, we support manufacturers in defining digital strategy and assessing operational maturity to identify where technology can deliver the greatest impact. We implement and enhance capabilities such as Manufacturing Execution Systems (MES), advanced scheduling, process control, and predictive maintenance, ensuring solutions are practical, scalable, and embedded into daily operations. By connecting digital capabilities to real shop-floor execution, we help manufacturers improve productivity, strengthen quality, and respond more effectively to changing demand. "Manufacturing expertise that turns operations into reliable, responsive performance." 04. Logistics Improving fulfillment performance We help organizations improve fulfillment performance by strengthening warehouse and transportation execution, increasing visibility across the distribution network, and enabling more informed operational decision-making. Our approach ensures logistics operations are efficient, scalable, and aligned to service and cost objectives. Deliver successful logistics outcomes Drawing on deep operational experience, we help organizations define logistics strategies and assess operational maturity to identify where process and technology improvements will deliver the greatest value. We implement and enhance capabilities across warehouse management, transportation management, automation integration, and inventory optimization, ensuring solutions are practical, scalable, and aligned to future operating models that balance automation and workforce productivity. By connecting logistics execution with performance metrics and evolving operating models, we help organizations improve service performance, reduce cost-to-serve, and respond more effectively to changing customer demand. "Logistics expertise that turns execution into high-performing fulfillment and optimized cost-to-serve." Let's discuss your supply chain priorities First & Last Name Company Name Email Address Phone Number Message A member of the neos team will follow up shortly to continue the conversation. Your information will only be used to respond to your request. Unified Solutions A unified supply chain cycle built for alignment, efficiency, and resilience. NEOS helps our clients turn supply chain strategy into connected execution. Flexible Engagement, Built Around You Neos engages with clients where it matters most, from focused advisory to full delivery, ensuring the right level of support at every stage. Expertise Across the Supply Chain Neos combines operational experience with technology expertise across planning, procurement, manufacturing, and logistics to help clients improve performance and drive meaningful results. One Partner, Every Stage Neos brings continuity across the supply chain journey, helping clients move from strategy through execution with a single trusted partner. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Services2 - neos by Argon & Co" source_url: "https://neosbyargonandco.com/services2" page_path: "/services2" page_type: "service" crawled_at: "2026-09-23T13:47:11Z" content_changed_at: "2026-09-23T13:47:11Z" content_unchanged_days: 0 observed_days: 0 --- Services2 - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co Smarter supply chain transformation, end to end Why NEOS Experience makes the difference. The neos team brings firsthand industry perspective and understands the challenges supply chain leaders and their teams face every day. By combining this insight with deep technology and delivery expertise, we help companies implement solutions that drive measurable, lasting impact. 01. Planning Advanced planning from strategy through management Neos specializes in Advanced Planning Solutions, helping companies select, implement, and operate the right planning platforms for their business. Our services span the full lifecycle - from solution selection and deployment to training, optimization, and Planning as a Service (PaaS). Leaders in Advanced Planning Solutions (APS) We help companies translate planning technology into real operational performance - improving service levels, reducing costs, and enabling faster, more confident decision-making. Our experience spans global enterprises, complex regulated industries, and growing mid-market organizations alike. This breadth allows us to tailor planning solutions to each client's operating model while ensuring systems are practical, scalable, and aligned to business priorities. By elevating planning from a technical capability to a business discipline, we help organizations make better trade-offs and drive more resilient supply chain performance. "Advanced planning expertise that turns technology into real supply chain performance." 02. Procurement Procurement Transformation We help companies modernize procurement processes and operating models, enabling more efficient sourcing, stronger supplier collaboration, and sustainable cost improvements. Our approach shifts procurement from transactional buying to strategic value creation across the organization. World Leading Procurement Platforms We partner with leading procurement technologies to help organizations modernize sourcing and supplier management capabilities while improving visibility across the supply base. Our approach focuses on aligning procurement systems with operating models and business priorities, ensuring solutions are practical, scalable, and fully embedded into day-to-day decision-making. By turning procurement data into actionable insight, we enable smarter sourcing decisions, stronger supplier performance, and measurable financial impact. "Procurement expertise that turns data into smarter sourcing decisions." 03. Manufacturing Real Impact for Operational Performance We help manufacturers improve operational performance by strengthening process discipline, increasing visibility across production, and enabling faster, more informed decision-making. Our approach ensures operations are consistent, scalable, and able to respond to changing demand while maintaining quality and compliance. Unlock Manufacturing Value Drawing on deep operational experience, we support manufacturers in defining digital strategy and assessing operational maturity to identify where technology can deliver the greatest impact. We implement and enhance capabilities such as Manufacturing Execution Systems (MES), advanced scheduling, process control, and predictive maintenance, ensuring solutions are practical, scalable, and embedded into daily operations. By connecting digital capabilities to real shop-floor execution, we help manufacturers improve productivity, strengthen quality, and respond more effectively to changing demand. "Manufacturing expertise that turns operations into reliable, responsive performance." 04. Logistics Improving fulfillment performance We help organizations improve fulfillment performance by strengthening warehouse and transportation execution, increasing visibility across the distribution network, and enabling more informed operational decision-making. Our approach ensures logistics operations are efficient, scalable, and aligned to service and cost objectives. Deliver successful logistics outcomes Drawing on deep operational experience, we help organizations define logistics strategies and assess operational maturity to identify where process and technology improvements will deliver the greatest value. We implement and enhance capabilities across warehouse management, transportation management, automation integration, and inventory optimization, ensuring solutions are practical, scalable, and aligned to future operating models that balance automation and workforce productivity. By connecting logistics execution with performance metrics and evolving operating models, we help organizations improve service performance, reduce cost-to-serve, and respond more effectively to changing customer demand. "Logistics expertise that turns execution into high-performing fulfillment and optimized cost-to-serve." Let's discuss your supply chain priorities First & Last Name Company Name Email Address Phone Number Message A member of the neos team will follow up shortly to continue the conversation. Your information will only be used to respond to your request. Unified Solutions A unified supply chain cycle built for alignment, efficiency, and resilience. Neos helps our clients turn supply chain strategy into connected execution. Flexible Engagement, Built Around You Neos engages with clients where it matters most, from focused advisory to full delivery, ensuring the right level of support at every stage. Expertise Across the Supply Chain Neos combines operational experience with technology expertise across planning, procurement, manufacturing, and logistics to help clients improve performance and drive meaningful results. One Partner, Every Stage Neos brings continuity across the supply chain journey, helping clients move from strategy through execution with a single trusted partner. Upcoming Events US UK APEC Oceania Upcoming Events FDF Networking Breakfast: Forests and Food MONTH, 00, 2026 | 00:00 - 00:00 AM (PM) UK team shares key insights on reducing deforestation risk and strengthening sustainable, resilient food supply chains through collaboration and regulation. VIEW EVENT DETAILS Upcoming Events #2 FDF Networking Breakfast: Forests and Food MONTH, 00, 2026 | 00:00 - 00:00 AM (PM) UK team shares key insights on reducing deforestation risk and strengthening sustainable, resilient food supply chains through collaboration and regulation. VIEW EVENT DETAILS Upcoming Events #3 FDF Networking Breakfast: Forests and Food MONTH, 00, 2026 | 00:00 - 00:00 AM (PM) UK team shares key insights on reducing deforestation risk and strengthening sustainable, resilient food supply chains through collaboration and regulation. VIEW EVENT DETAILS Upcoming Events #4 FDF Networking Breakfast: Forests and Food MONTH, 00, 2026 | 00:00 - 00:00 AM (PM) UK team shares key insights on reducing deforestation risk and strengthening sustainable, resilient food supply chains through collaboration and regulation. VIEW EVENT DETAILS Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Six Things to Consider When Evaluating Supply Chain Planning Software - neos by Argon & Co" source_url: "https://neosbyargonandco.com/six-things-to-consider-when-evaluating-supply-chain-planning-software" page_path: "/six-things-to-consider-when-evaluating-supply-chain-planning-software" page_type: "generic" crawled_at: "2026-09-23T13:47:16Z" content_changed_at: "2026-09-23T13:47:16Z" content_unchanged_days: 0 observed_days: 0 --- Six Things to Consider When Evaluating Supply Chain Planning Software - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Six Things to Consider When Evaluating Supply Chain Planning Software Diane Jordan August 4, 2026 In the competitive landscape of today's business environment, efficient supply chain management is a crucial factor for success. Mid-sized companies, in particular, face unique challenges that necessitate effective planning and execution. Investing in Supply Chain Planning (SCP) software can significantly enhance operational efficiency, cost-effectiveness, and customer satisfaction. Here are six critical considerations to guide you through the decision-making process and the strategic impacts you can expect from your investment. Discover the key factors to keep in mind when evaluating supply chain planning software for your business. Scalability and Flexibility When selecting SCP software, it's vital to choose a solution that can grow with your business. Mid-sized companies often experience periods of rapid growth and fluctuating demand. Your SCP software should be scalable to accommodate these changes without requiring a complete overhaul. Example: A regional food distributor expanded into new territories, increasing their customer base by 50%. Their chosen SCP software was able to handle the surge in orders and manage the complexities of a larger distribution network seamlessly. This scalability allowed them to maintain service levels and avoid disruptions. Strategic Impact: Scalability ensures that your supply chain operations remain robust and efficient as your business grows, allowing you to capitalize on new market opportunities without being held back by operational constraints. It ensures that your supply chain can adapt quickly to market changes, helping maintain a competitive edge. Integration with Existing Systems Your SCP software must integrate smoothly with your existing systems, including ERP, CRM, and warehouse management systems. This integration ensures real-time data flow and reduces the risk of errors caused by manual data entry. Example: A mid-sized electronics manufacturer integrated SCP software with their existing ERP and CRM systems. This integration provided a holistic view of their supply chain operations, from procurement to customer delivery, improving decision-making and reducing lead times by 20%. Strategic Impact: Seamless integration enhances visibility across the entire supply chain, enabling better coordination and faster response times to market demands. It ensures that all departments are aligned and working with the same data, fostering collaboration and improving overall efficiency. Advanced Analytics and Reporting The ability to analyze data and generate insightful reports is a critical feature of any SCP software. Advanced analytics help you understand demand patterns, optimize inventory levels, and identify potential disruptions before they occur. Example: A furniture retailer used SCP software with advanced analytics to analyze sales trends and seasonal demand. This allowed them to optimize their inventory, reducing stock outs by 30% and minimizing excess inventory, thereby improving cash flow. Strategic Impact: Advanced analytics enable data-driven decision-making, leading to more accurate demand forecasting and better inventory management. This not only reduces costs but also enhances customer satisfaction by ensuring product availability. Predictive analytics can also help anticipate market trends and shifts, allowing for proactive strategy adjustments. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Services - neos by Argon & Co" source_url: "https://neosbyargonandco.com/solutions" page_path: "/solutions" page_type: "generic" crawled_at: "2026-09-23T13:56:45Z" content_changed_at: "2026-09-23T13:56:45Z" content_unchanged_days: 0 observed_days: 0 --- Services - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co Smarter supply chain transformation, end to end Why NEOS Experience makes the difference. The neos team brings firsthand industry perspective and understands the challenges supply chain leaders and their teams face every day. By combining this insight with deep technology and delivery expertise, we help companies implement solutions that drive measurable, lasting impact. 01. Planning Advanced planning from strategy through management Neos specializes in Advanced Planning Solutions, helping companies select, implement, and operate the right planning platforms for their business. Our services span the full lifecycle - from solution selection and deployment to training, optimization, and Planning as a Service (PaaS). Leaders in Advanced Planning Solutions (APS) We help companies translate planning technology into real operational performance - improving service levels, reducing costs, and enabling faster, more confident decision-making. Our experience spans global enterprises, complex regulated industries, and growing mid-market organizations alike. This breadth allows us to tailor planning solutions to each client's operating model while ensuring systems are practical, scalable, and aligned to business priorities. By elevating planning from a technical capability to a business discipline, we help organizations make better trade-offs and drive more resilient supply chain performance. "Advanced planning expertise that turns technology into real supply chain performance." 02. Procurement Procurement Transformation We help companies modernize procurement processes and operating models, enabling more efficient sourcing, stronger supplier collaboration, and sustainable cost improvements. Our approach shifts procurement from transactional buying to strategic value creation across the organization. World Leading Procurement Platforms We partner with leading procurement technologies to help organizations modernize sourcing and supplier management capabilities while improving visibility across the supply base. Our approach focuses on aligning procurement systems with operating models and business priorities, ensuring solutions are practical, scalable, and fully embedded into day-to-day decision-making. By turning procurement data into actionable insight, we enable smarter sourcing decisions, stronger supplier performance, and measurable financial impact. "Procurement expertise that turns data into smarter sourcing decisions." 03. Manufacturing Real Impact for Operational Performance We help manufacturers improve operational performance by strengthening process discipline, increasing visibility across production, and enabling faster, more informed decision-making. Our approach ensures operations are consistent, scalable, and able to respond to changing demand while maintaining quality and compliance. Unlock Manufacturing Value Drawing on deep operational experience, we support manufacturers in defining digital strategy and assessing operational maturity to identify where technology can deliver the greatest impact. We implement and enhance capabilities such as Manufacturing Execution Systems (MES), advanced scheduling, process control, and predictive maintenance, ensuring solutions are practical, scalable, and embedded into daily operations. By connecting digital capabilities to real shop-floor execution, we help manufacturers improve productivity, strengthen quality, and respond more effectively to changing demand. "Manufacturing expertise that turns operations into reliable, responsive performance." 04. Logistics Improving fulfillment performance We help organizations improve fulfillment performance by strengthening warehouse and transportation execution, increasing visibility across the distribution network, and enabling more informed operational decision-making. Our approach ensures logistics operations are efficient, scalable, and aligned to service and cost objectives. Deliver successful logistics outcomes Drawing on deep operational experience, we help organizations define logistics strategies and assess operational maturity to identify where process and technology improvements will deliver the greatest value. We implement and enhance capabilities across warehouse management, transportation management, automation integration, and inventory optimization, ensuring solutions are practical, scalable, and aligned to future operating models that balance automation and workforce productivity. By connecting logistics execution with performance metrics and evolving operating models, we help organizations improve service performance, reduce cost-to-serve, and respond more effectively to changing customer demand. "Logistics expertise that turns execution into high-performing fulfillment and optimized cost-to-serve." Let's discuss your supply chain priorities First & Last Name Company Name Email Address Phone Number Message A member of the neos team will follow up shortly to continue the conversation. Your information will only be used to respond to your request. Unified Solutions A unified supply chain cycle built for alignment, efficiency, and resilience. NEOS helps our clients turn supply chain strategy into connected execution. Flexible Engagement, Built Around You Neos engages with clients where it matters most, from focused advisory to full delivery, ensuring the right level of support at every stage. Expertise Across the Supply Chain Neos combines operational experience with technology expertise across planning, procurement, manufacturing, and logistics to help clients improve performance and drive meaningful results. One Partner, Every Stage Neos brings continuity across the supply chain journey, helping clients move from strategy through execution with a single trusted partner. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "How to Start Building Intelligent Network Operations" source_url: "https://neosbyargonandco.com/start-building-intelligent-network-operations" page_path: "/start-building-intelligent-network-operations" page_type: "generic" crawled_at: "2026-09-23T13:47:20Z" content_changed_at: "2026-09-23T13:47:20Z" content_unchanged_days: 0 observed_days: 0 --- How to Start Building Intelligent Network Operations Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Start With One Network, Build for the Enterprise A focused implementation can create early value while establishing the context, services and governance required for Intelligent Network Operations at scale. Diane Jordan September 8, 2026 Choose a network with meaningful decisions The vision for Intelligent Network Operations is inherently broad. It includes planning, manufacturing, warehousing, transportation, suppliers and customers, each with specialized systems and decision processes. Attempting to connect every network at once, however, can turn a practical business initiative into an extended architecture program with distant value. A stronger path begins with one network and a defined set of consequential decisions. Manufacturing is often a useful starting point because its constraints affect service, inventory, cost and growth. An organization might focus on how capacity interruptions are evaluated across plants, or whether the manufacturing network can support demand from a new market. Warehousing or transportation may provide an equally credible starting point when the business problem is clearer there. The selection should be based on decision value, recurrence, data accessibility and the ability to observe outcomes. A use case that merely adds another prediction is less instructive than one that connects a signal to analysis, judgment and action. The objective is to establish a complete operating loop within a manageable scope. Build the foundation inside the first use case Starting small does not mean designing narrowly. The first implementation should create reusable definitions for the entities it touches, establish governed access to source systems and expose specialized models through stable services. It should define the decision owner, objectives, policies, escalation rules and permissible actions. These components become the foundation for later expansion. Consider a manufacturing capacity use case. The solution may begin with products, plants, resources, orders and customer commitments. It can monitor capacity and material signals, identify affected decisions and invoke planning or optimization to evaluate alternatives. Human reviewers receive the relevant tradeoffs, while approved actions return to the appropriate execution systems. Outcomes are captured for learning. If built as a standalone agent or dashboard, the same use case may deliver local value but contribute little to enterprise capability. If built with shared context and governed interfaces, its product, location and decision services can later support inventory, warehousing and transportation questions. The first implementation should also establish a baseline. Teams need to understand how long the current decision takes, where information is assembled, how often recommendations are overridden and what outcomes follow. Without that baseline, a technically impressive pilot may be difficult to translate into a credible case for expansion. Even a modest initial measure creates useful discipline. Expand through dependencies The next network should be added because a real decision requires it. A manufacturing response may alter inventory positioning or transportation demand. Rather than integrate every warehouse and carrier process, the organization can add the specific entities, signals and analytical services needed to evaluate those consequences. Scope grows through decision dependencies rather than a general ambition to centralize data. This approach preserves the depth of specialized functions. Manufacturing continues to use its planning and execution platforms. Warehousing and transportation retain their own models and controls. The intelligence layer provides the connective tissue that allows each network to contribute context and receive a request when a decision crosses boundaries. Governance must scale with the technical footprint. New decision owners, policies and action boundaries should be added explicitly. Shared definitions require stewardship. Agents and models need performance monitoring. The organization should also measure value at the decision level, including response time, avoided cost, service outcomes and the accuracy of expected consequences. Over time, the enterprise develops a network of networks with line of sight across important decisions. It does not require a central system to control every action. It requires a common capability to recognize when conditions in one network matter elsewhere, assemble the appropriate intelligence and coordinate a response. Beginning with one network makes that future tangible while keeping the first step focused enough to deliver. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Steven Finkelstein Joins Neos by Argon & Co - neos by Argon & Co" source_url: "https://neosbyargonandco.com/steven-finkelstein-joins-neos-by-argon-co" page_path: "/steven-finkelstein-joins-neos-by-argon-co" page_type: "generic" crawled_at: "2026-09-23T13:47:23Z" content_changed_at: "2026-09-23T13:47:23Z" content_unchanged_days: 0 observed_days: 0 --- Steven Finkelstein Joins Neos by Argon & Co - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Steven Finkelstein Joins Neos by Argon & Co Steven Finkelstein Joins Neos by Argon & Co as Managing Principal to Drive Retail Supply Chain Transformation Julia Roberts July 22, 2026 ATLANTA, GA - Neos by Argon & Co is pleased to announce the appointment of Steve Finkelstein as Managing Principal. With over 15 years of leadership experience across inventory planning, merchandising operations, and assortment optimization for omni-channel retailers. Steve's expertise will bolster neos' mission to bridge supply chain planning with seamless technology execution. Steve joins neos by Argon & Co from Accenture, where he supported and led organizations through complex supply chain and merchandising transformations, aligning business processes with industry best practices. Throughout his career, he has held key executive roles, including Vice President of Inventory & Assortment Planning at Bed Bath & Beyond, and Senior Director at The Vitamin Shoppe. Steve is a recognized industry expert in delivering end-to-end RELEX Forecasting & Replenishment implementations, both as a corporate business owner and a trusted consulting advisor. His extensive project portfolio includes leading large-scale system designs, process refinements, and inventory optimization initiatives for major big-box, home improvement, and health and wellness retailers. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? Hide Toolbar Duration Only for this session 24 hours A Week Not Now Hide Toolbar Select your accessibility profile Vision Impaired Mode Enhances website's visuals Seizure Safe Profile Clear flashes & reduces colour ADHD Friendly Mode Focused browsing, distraction-free Blindness Mode Reduces distractions, improves focus Epilepsy Safe Mode Dims colours and stops blinking Content Modules Font Size + Default - Readable Font Line Height + Default - Cursor Letter Spacing Align Text Font Weight Colour Modules Light Contrast High Contrast Monochrome Orientation Modules Reading Line Reading Mask Hide Images Highlight Content Stop Animations Highlight Links Skip To Content Choose... Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Supply Chain AI Agents: Start With Responsibility" source_url: "https://neosbyargonandco.com/supply-chain-ai-agents-responsibility" page_path: "/supply-chain-ai-agents-responsibility" page_type: "generic" crawled_at: "2026-09-23T13:47:27Z" content_changed_at: "2026-09-23T13:47:27Z" content_unchanged_days: 0 observed_days: 0 --- Supply Chain AI Agents: Start With Responsibility Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read How AI Agents Should Work Within Network Operations Agents create value when they are given a defined operational responsibility, explicit decision boundaries and access to shared enterprise context. Diane Jordan September 8, 2026 Begin with responsibility, not autonomy The rapid adoption of AI agents has encouraged organizations to ask how much work an agent can perform independently. In Network Operations, a better first question is what responsibility the agent should hold. An agent without a defined operational purpose may generate useful observations, but it is difficult to measure, govern or integrate into the work of the supply chain. Responsibilities can be narrow and still valuable. A monitoring agent may watch for combinations of demand, capacity and material risk that threaten a production commitment. A diagnostic agent may assemble likely causes and identify affected orders. A scenario agent may invoke planning, optimization or simulation services to evaluate alternatives. An execution agent may carry out an approved adjustment within a specified boundary. These roles are distinct from a conventional workflow. A workflow follows a predetermined path. An agent can interpret context, select among available tools and adapt its sequence of work. That flexibility is useful only when the objective, permitted tools and escalation conditions are clear. Otherwise, adaptability becomes unpredictability. Give agents shared context and specialized tools Agents should not be expected to reproduce the capabilities of APS, MES, WMS, TMS or optimization platforms. Those systems contain specialized logic, constraints and transaction controls developed for their domains. An agent creates greater value when it can consult those capabilities through governed services and coordinate their use around a decision. Shared context is essential when several agents participate. A transportation agent and a production agent may each propose a locally rational response to a material shortage. Without common objectives, customer priorities and cost policies, their recommendations may conflict. A decision layer provides the entities, dependencies and guardrails needed to evaluate the responses together. This architecture also limits hallucination risk. The agent does not invent capacity, cost or feasible alternatives from language alone. It retrieves authoritative data, invokes approved analytical engines and distinguishes calculated output from explanatory narrative. Its reasoning should identify sources and assumptions so that a person or downstream system can evaluate the recommendation. Multi-agent coordination requires additional discipline. A coordinating service should manage which agent is asked to contribute, how conflicting recommendations are reconciled and when the combined issue becomes a human decision. Allowing agents to negotiate indefinitely can add latency without improving the answer. The orchestration pattern should reflect the time available and the consequence of the choice. It should also provide a clear termination condition when the available evidence cannot resolve the tradeoff. Define the decision and action boundaries Every agent role requires an explicit decision boundary. Within that boundary, the agent may be authorized to observe, recommend, request approval or act. The boundary can incorporate financial exposure, customer impact, confidence, reversibility and time sensitivity. A low-cost scheduling adjustment may be automated; a change to a strategic customer commitment may require executive judgment. Human oversight should be designed into the operating model rather than added after deployment. The system should route an issue to the appropriate person with the relevant context already assembled. It should record whether the recommendation was accepted, modified or rejected and capture the reason when practical. That feedback improves both agent behavior and the underlying decision logic. Organizations should begin with a bounded responsibility where outcomes can be observed. The first agent need not orchestrate an entire supply chain. It should demonstrate that one recurring operational problem can be sensed, interpreted and moved through a better decision path. Additional roles can then be introduced using the same context, services and governance. The central design principle is disciplined agency. Agents are most effective when they extend the reach and responsiveness of people and systems without obscuring accountability. In that form, they become participants in Network Operations rather than isolated automation experiments. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Why Supply Chain AI Needs More Than Integration" source_url: "https://neosbyargonandco.com/supply-chain-ai-needs-more-than-integration" page_path: "/supply-chain-ai-needs-more-than-integration" page_type: "generic" crawled_at: "2026-09-23T13:47:30Z" content_changed_at: "2026-09-23T13:47:30Z" content_unchanged_days: 0 observed_days: 0 --- Why Supply Chain AI Needs More Than Integration Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read The Technical Foundation for AI Across Supply Chain Networks AI can connect decisions across the supply chain only when the enterprise provides governed meaning, reliable relationships and clear system boundaries. Diane Jordan September 8, 2026 Integration is necessary but insufficient Supply chain organizations have invested heavily in connecting systems. ERP, planning, manufacturing, warehousing and transportation platforms exchange orders, forecasts, inventory positions and execution events through increasingly modern integration patterns. These connections are indispensable, but data movement alone does not create the context that artificial intelligence needs. The same business entity may be represented differently across systems. A product can be an item, material or SKU. A location may be a plant, warehouse, supplier site or virtual node. Capacity may mean rated output, demonstrated performance, available hours or a financially approved level of investment. If these distinctions are not governed, AI can retrieve more information without understanding whether the information is comparable. An intelligent operating layer therefore requires a semantic foundation. This layer defines the critical entities, relationships and business meanings that allow signals from specialized systems to be interpreted together. It should preserve source-system lineage rather than conceal differences. The goal is not forced uniformity; it is an explicit translation that can be trusted and audited. Separate records, models and decision context A sound architecture distinguishes among several types of information. Systems of record maintain authoritative transactions and master data. Analytical models estimate demand, evaluate constraints or optimize choices. Policies define permissible actions and escalation requirements. Decision context describes the objective, owner, dependencies and evidence relevant to a particular choice. Treating these elements as one undifferentiated data pool makes AI behavior harder to govern. The semantic layer can be implemented through several technical patterns, including canonical data models, knowledge graphs and domain-oriented data products. The choice should follow the decisions the organization needs to support. A manufacturing use case may require relationships among products, bills of material, resources, plants and customer commitments. A transportation use case may emphasize orders, loads, lanes, carriers and service windows. Shared identifiers and mappings allow these domains to participate in cross-network evaluation. When a plant loses capacity, the intelligence layer can locate affected products and orders, request feasible production alternatives, consult inventory and transportation constraints and expose the enterprise consequences. No single operational platform must contain the full answer. Data quality should be evaluated in the same decision context. Not every field requires identical precision or refresh speed. Capacity data used for an immediate production choice may need near-real-time validation, while an attribute supporting a longer-term scenario may tolerate a slower cadence. Connecting quality requirements to decisions concentrates governance effort where an error would materially change the response. It also gives data owners a clearer basis for resolving competing remediation priorities across domains and for explaining why particular improvements deserve investment today. Build for governed access and change AI introduces new requirements for access, observability and versioning. An agent should retrieve only the data and services appropriate to its role. Its requests, recommendations and actions should be recorded. The organization must know which model, policy and data version informed a decision, particularly when the result affects customers, cost or compliance. The architecture must also accommodate change. Entity definitions evolve, systems are replaced and new decision domains are added. Interfaces should therefore expose stable business services rather than bind every use case directly to source-system structures. This reduces the likelihood that each AI initiative creates another fragile point-to-point integration. The business value of this foundation is not integration for its own sake. It is the ability to reuse context across decisions. A governed product-location relationship established for manufacturing can later support inventory, warehousing and transportation questions. AI becomes more useful as that shared context expands, while specialized systems retain their depth and authority. The result is a technical foundation that allows the supply chain to operate as a network of networks rather than a collection of connected applications. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Supply Chain AI: Sense, Decide, Act and Learn" source_url: "https://neosbyargonandco.com/supply-chain-ai-sense-decide-act-learn" page_path: "/supply-chain-ai-sense-decide-act-learn" page_type: "generic" crawled_at: "2026-09-23T13:47:34Z" content_changed_at: "2026-09-23T13:47:34Z" content_unchanged_days: 0 observed_days: 0 --- Supply Chain AI: Sense, Decide, Act and Learn Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Designing the Sense, Decide, Act and Learn Loop Intelligent Network Operations depends on a closed loop that connects operational signals to decisions, actions and measurable outcomes. Diane Jordan September 8, 2026 Sensing requires context Most supply chains already sense change. Transactions, equipment, partner messages and external data generate a continuous stream of events. The challenge is determining which changes deserve attention. A closed operational loop begins by connecting signals to the entities, commitments and assumptions they may affect. A sensor reading, delayed shipment or forecast revision has little meaning on its own. Its significance depends on duration, magnitude and relationship to other conditions. AI can detect patterns across structured and unstructured signals, but it requires a governed representation of products, resources, locations, orders and customers. Sensing is therefore not simply ingestion. It is interpretation within a defined operational context. The output of the sense stage should be a candidate decision, not another unprioritized alert. The system should indicate what changed, which objectives may be at risk, how quickly a response is required and what additional evidence is needed. A well-designed sensing layer also suppresses noise without hiding uncertainty. Related events can be grouped into a single operating condition, while contradictory signals remain visible. Confidence should be expressed as evidence for further evaluation, not as a substitute for it. This helps teams focus attention without assuming that every detected pattern has a known cause. It also prevents urgency from being confused with analytical certainty. Deciding combines methods and judgment The decide stage organizes the appropriate forms of analysis. Some questions can be resolved through policy or deterministic rules. Others require forecasting, optimization or simulation. AI can locate relevant information, frame alternatives and explain sensitivities, but it should not replace mathematical methods where feasibility and tradeoffs must be calculated precisely. Decision context is as important as analytical output. The system should identify the owner, objectives, constraints, dependencies and acceptable action boundaries. A recommendation to reallocate inventory, for example, must consider customer priorities, replenishment prospects, transportation capacity and the service risk transferred to other locations. The fastest local answer may not be the best network answer. The decision process should remain proportionate to consequence. Low-risk, reversible choices can move rapidly through automated rules. Decisions with material financial, customer or workforce implications require human review. The intelligence layer coordinates both paths and preserves a record of the evidence and reasoning used. Act with control and learn from outcomes Action may be performed by a person, workflow, operational system, robot or agent. The important requirement is that the selected response remains connected to the decision that authorized it. Instructions should be translated into the transactional controls of the relevant system, and execution status should flow back to the intelligence layer. This connection prevents a common failure in automation: an approved decision is interpreted differently across functions or implemented without visibility into downstream effects. The loop should monitor whether the action occurred, whether conditions changed during execution and whether escalation is required. An action that was appropriate at approval may need to be reconsidered if its assumptions no longer hold. Learning closes the loop. The organization should compare expected and actual outcomes, including service, cost, inventory, throughput and unintended consequences. A rejected recommendation can also provide useful evidence if the reason is captured. Over time, these outcomes refine thresholds, model parameters, policies and agent behavior. Learning should not be understood as an unconstrained system rewriting its own rules. Material changes to models and policies require validation and governance. The objective is institutional learning: retaining evidence about which decisions worked under which conditions and making that knowledge available the next time a similar situation emerges. A complete Sense, Decide, Act and Learn loop converts AI from an isolated analytical aid into an operating capability. It allows the supply chain to respond faster while improving the quality, consistency and operational traceability of the response. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Why Supply Chains Need a Network of Networks" source_url: "https://neosbyargonandco.com/supply-chain-network-of-networks" page_path: "/supply-chain-network-of-networks" page_type: "generic" crawled_at: "2026-09-23T13:47:37Z" content_changed_at: "2026-09-23T13:47:37Z" content_unchanged_days: 0 observed_days: 0 --- Why Supply Chains Need a Network of Networks Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Why the Supply Chain Must Operate as a Network of Networks How specialized operating networks can retain their depth while sharing the context required for better enterprise decisions. Diane Jordan September 8, 2026 The supply chain is often described as one end-to-end network. That is useful shorthand, but it does not reflect how most supply chains actually operate. Planning, manufacturing, warehousing and transportation each function as networks in their own right. They contain specialized processes, systems, constraints, decision owners and measures of performance. Supplier and customer operations introduce additional networks, often beyond the direct control of the enterprise. These networks are related, but they do not operate as one unified system. A decision made within one can create consequences across several others. A manufacturing team may change its production sequence to improve plant efficiency, only to create inventory and transportation challenges downstream. A warehouse may prioritize throughput in a way that affects customer commitments. Transportation may consolidate loads to reduce cost while limiting the organization's ability to respond to changing demand. The problem is not simply that these functions are siloed. Specialization is necessary. The deeper challenge is that the networks often lack the shared context required to recognize when a local condition or decision matters somewhere else. A network of networks operating model addresses that gap. It allows each network to retain its specialized capabilities while participating in decisions whose consequences cross functional and organizational boundaries. Specialization is not the problem Supply chains have invested heavily in functional depth for good reason. Manufacturing systems understand production orders, bills of material, equipment, labor and plant constraints. Warehouse systems manage inventory locations, tasks, handling requirements and fulfillment activity. Transportation platforms understand loads, carriers, lanes, rates and service windows. Planning systems evaluate demand, supply, inventory and capacity over different time horizons. No single enterprise model can easily reproduce all of this depth. Attempts to centralize every operational detail can produce a simplified representation that is too broad for execution and too difficult to maintain. They can also create uncertainty about which system or function is responsible for a decision. Intelligent Network Operations should not eliminate specialized networks or reduce them to data sources for a central platform. Each network should remain authoritative for the information, analytical methods and transactional controls within its domain. The objective is to make those capabilities available when an enterprise decision requires them. This distinction matters. The organization is not trying to build one system that knows everything. It is building a common capability that knows which network should contribute information, analysis or action to a particular decision. Local excellence can create enterprise weakness Functional performance measures encourage teams to optimize the work they directly control. A plant may be measured on utilization, schedule adherence and production cost. A warehouse may focus on throughput, labor productivity and order accuracy. Transportation may prioritize freight cost and on-time delivery. Planning may be measured on forecast accuracy, inventory and service. These measures are important, but they can produce locally rational decisions with unintended consequences elsewhere. Consider a plant that extends a production run to improve efficiency. The decision may reduce changeover time and lower unit cost. It may also delay another product required for an important customer order, increase inventory for the current product and create an urgent transportation requirement later. The plant may still achieve its functional objectives. The broader supply chain may not. This does not mean the plant made a poor decision based on the information available. It means the decision was made without a complete view of the dependencies and tradeoffs involved. The same pattern can occur across the supply chain. Inventory can be reallocated to resolve one shortage while creating another. Transportation capacity can be reserved for an urgent shipment without understanding the production risk transferred to a different lane. A customer commitment can be made without a current view of supply and execution constraints. When each network performs well according to its own measures while enterprise outcomes deteriorate, the supply chain experiences a form of network drift. Local decisions gradually move the broader operation away from its intended service, cost, inventory or growth objectives. Recognizing that drift requires line of sight across decisions, not merely performance dashboards within functions. Connect decisions across network boundaries Traditional integration moves data between systems. A network of networks operating model must also move decision context. Decision context explains why a signal matters, what objective may be at risk, which dependencies should be considered and who has authority to respond. It allows information from one network to become meaningful to another. For example, a manufacturing capacity loss is more than a change in available production hours. Its significance depends on which products use the affected resource, which orders require those products, what inventory is available, whether another plant is qualified and how quickly alternate transportation can be arranged. Manufacturing supplies part of the answer. Planning, inventory, logistics and customer information provide the rest. The intelligence layer does not need to copy every detail from every system into a universal model. It requires enough shared meaning to locate the relevant information and request the appropriate analysis. A product must be identifiable across planning, manufacturing, warehousing and transportation. Locations and resources must be related to the orders and commitments they support. Policies must establish priorities and acceptable tradeoffs. Analytical services must be available to evaluate feasible alternatives. The networks can then participate in a common decision without surrendering their specialized logic. Move the right information, not all information The phrase "end-to-end visibility" can imply that every detail should be available everywhere. In practice, this can create more noise than understanding. A transportation team does not need continuous access to every production transaction. A manufacturing team does not need every carrier event. The relevant information depends on the decision being considered. A network of networks approach exchanges information selectively. A signal should move across a boundary when it changes the context of a consequential decision. A request for analysis should be directed to the network with the appropriate capability. A recommendation should return with its assumptions, constraints and expected consequences. Once an action is approved, execution status and outcomes should flow back to the decision layer. What crosses boundaries may include: A material change in operating conditions The entities and commitments affected A request for specialized analysis Feasible alternatives and their tradeoffs The decision and its authorization Execution status and observed outcomes This is more useful than distributing every event to every function. It provides the information required for coordination while allowing each network to manage the depth and frequency of its own operational data. Coordinate without creating a central brain A network of networks does not require one central system to control the supply chain. The intelligence layer acts more like connective tissue. It recognizes when a condition in one network may have consequences elsewhere, identifies which networks should participate and coordinates the decision path. Some decisions can remain entirely within one network. A warehouse may adjust a low-risk task sequence without involving planning or transportation. A production system may reschedule a routine activity within an approved operating boundary. Other decisions require broader participation. Reallocating scarce inventory may affect customers, plants, warehouses and transportation. Entering a new market may require coordinated evaluation of manufacturing capacity, supplier readiness, inventory strategy and distribution capability. The operating model should make that distinction explicit. The intelligence layer should not involve every network in every decision. It should assemble the smallest group of participants and capabilities needed to evaluate the relevant consequences. This keeps coordination proportionate to the decision. It also prevents the network of networks from becoming a new source of latency or organizational complexity. Use shared objectives to reconcile local recommendations Cross-network decisions can produce competing recommendations. A manufacturing model may favor the option that protects plant efficiency. A transportation model may recommend the lowest-cost route. An inventory model may prioritize service across the greatest number of orders. Each answer can be analytically sound within its own boundaries. The enterprise still needs a way to evaluate the alternatives together. Shared objectives and policies provide that basis. They define how service, cost, inventory, revenue, workforce impact and risk should be considered for the decision. They can also establish customer or product priorities and identify tradeoffs that require human judgment. Artificial intelligence can help assemble the evidence, identify dependencies and explain the differences among recommendations. Optimization and simulation can calculate feasibility and quantify consequences. People remain accountable for choices that involve material commercial or strategic judgment. The purpose of orchestration is not to force every network toward the same metric. It is to make the interactions among their objectives visible before a decision is made. Make governance part of the network As decisions cross network boundaries, accountability can become unclear. Who owns a response when a production constraint becomes a customer service risk? Which function can authorize an inventory transfer that creates additional transportation cost? When can an AI agent execute an adjustment, and when must it request approval? These questions cannot be resolved by integration alone. A network of networks operating model should define the owner of each consequential decision, the networks expected to contribute, the policies that govern the response and the point at which authority transfers from one role or system to another. The decision record should preserve the evidence, assumptions, recommendations, approvals and actions involved. This creates operational traceability and supports learning across functions. Governance should also establish how shared definitions are maintained. Products, locations, resources, customers and commitments may be represented differently across networks. Those differences do not always need to be eliminated, but the translations used in cross-network decisions must be understood and governed. Without that discipline, the intelligence layer may move information faster while preserving the ambiguity that made coordinated decisions difficult in the first place. Measure the performance of the decision path Organizations typically measure the performance of individual functions. A network of networks also requires measures that span the decision path. The organization should understand how long it took to recognize that a condition had broader consequences, assemble the required context, evaluate alternatives, reach the appropriate owner and execute the selected response. Outcome measures remain important. Service, cost, inventory, throughput and revenue consequences should be compared with what was expected when the decision was made. These measures reveal delays that functional dashboards may not show. A disruption may be detected immediately but remain unresolved while teams determine ownership. A recommendation may be analytically strong but arrive too late to influence the outcome. An action may protect one objective while transferring risk elsewhere. Measuring the full decision path helps the organization identify where coordination, data, analytical methods or governance need to improve. Expand the network through real dependencies The vision of a network of networks is broad, but implementation should remain focused. An organization does not need to connect planning, manufacturing, warehousing, transportation, suppliers and customers in one program. It can begin with one network and one group of meaningful decisions. The next network should be added when a real decision dependency requires it. A manufacturing capacity use case may initially require products, plants, resources, orders and customer commitments. Inventory information can be introduced when alternate stock becomes part of the response. Transportation services can be added when moving that inventory or shifting production creates logistics consequences. Each expansion should make an existing decision more complete. It should also contribute reusable context, services and governance that support future decisions. This approach allows the enterprise to develop network-level capability without turning the effort into an extended centralization initiative. Build coordination without losing depth A supply chain does not become intelligent because every system is integrated or every team shares the same dashboard. It becomes more intelligent when specialized networks can recognize their dependencies, contribute the right information and capabilities, and coordinate decisions around shared enterprise outcomes. Planning, manufacturing, warehousing and transportation should retain the depth required to perform their work. Intelligent Network Operations provides the context and orchestration needed when a condition or decision crosses those boundaries. That is the purpose of a network of networks: not to make every part of the supply chain the same, but to allow different parts to operate coherently when their decisions affect one another. The practical starting point is not the entire enterprise. It is one network, one meaningful decision and one complete operating loop. From there, the network can expand through the dependencies that matter most. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. 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PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Tech Partners - neos by Argon & Co" source_url: "https://neosbyargonandco.com/tech-partners" page_path: "/tech-partners" page_type: "generic" crawled_at: "2026-09-23T13:49:52Z" content_changed_at: "2026-09-23T13:49:52Z" content_unchanged_days: 0 observed_days: 0 --- Tech Partners - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co Technology Partners We work across leading supply chain platforms to select, integrate, and optimize technology that performs in real operations. Why NEOS? The impact of supply chain technology comes down to how it performs in the real world. At neos, solutions are designed around how your business operates today and how it needs to evolve, so systems connect, perform, and deliver value across your supply chain. "Neos brought clarity to our technology landscape and helped us implement solutions that actually work in our operations, not just on paper." Technology Technology That Works Turn supply chain technology into real results by connecting strategy, technology, and execution. When systems are aligned across your supply chain, they power real time decision making and continuous optimization. SELECT Choose the right platform for your supply chain Bring the right technology partners together to support your supply chain. IMPLEMENT Adopt technology that works in practice Bring your systems together and align them to how your business operates. OPTIMIZE Drive better business performance Optimize how your technology is used to improve decisions. PARTNERSHIPS We partner with leading supply chain technology providers to deliver solutions that work in the real world. AIMMS | Optimization and Decision Support AIMMS, a product-centric SaaS company that simplifies the adoption of mathematical optimization, facilitating the creation of robust, high-quality decisions through technology. Anaplan | Connected Planning Anaplan, a leading connected planning platform, enables organizations to align supply chain, finance, and operations, improving visibility, coordination, and decision making across the business. Coupa | Procurement and Spend Management Coupa, a leader in spend management, provides AI driven procurement capabilities that improve sourcing decisions, increase compliance, and deliver greater visibility and control over spend. Fluent Commerce | Distributed Order Management Fluent Commerce, a distributed order management platform, helps organizations orchestrate orders across channels, improving fulfillment decisions and customer experience in B2C and B2B environments. Gains | Supply Chain Planning GAINS, a supply chain planning platform, connects decisions across planning horizons, from strategic design to execution, helping organizations align long term strategy with day to day operations. Infios | Warehouse and Fulfillment Infios, part of Krber's supply chain portfolio, delivers warehouse and fulfillment solutions that improve inventory visibility, order accuracy, and operational efficiency across distribution environments. John Galt | Supply Chain Planning John Galt Solutions, a provider of supply chain planning solutions, combines advanced analytics and machine learning to support faster, more accurate, and more confident decision making. ketteQ | Adaptive Supply Chain Planning ketteQ , an adaptive supply chain planning platform, uses AI and advanced solvers to enable real time responsiveness and more dynamic decision making across planning processes. Kinaxis | Concurrent Supply Chain Planning Kinaxis , a leader in supply chain planning, enables real time decision making through concurrent planning across demand, supply, and inventory. Built on Maestro, it helps companies model scenarios and respond faster to change. Mode | Analytics and Data Platform Mode, an analytics platform, connects data and business teams to enable exploration, reporting, and better decision making across the organization. Optilogic | Supply Chain Design and Optimization Optilogic, a supply chain design and optimization platform, enables organizations to model networks, evaluate scenarios, and continuously improve strategic and operational decisions. Planet Together | Advanced Planning and Scheduling PlanetTogether, a provider of advanced planning and scheduling, enables manufacturers to improve production scheduling, increase visibility, and better utilize capacity across operations. Relex | Retail Operations and Supply Chain Planning RELEX , a leader in retail and supply chain planning, helps organizations improve forecast accuracy, automate planning, and optimize inventory, replenishment, and in store operations from distribution to the shelf. SAP | Digital Supply Chain SAP , a leader in enterprise applications, supports end to end supply chain processes by integrating planning and execution to improve visibility, coordination, and performance across complex environments. Simio | Simulation and Digital Twin Simio, a simulation and digital twin platform, enables organizations to model operations, test scenarios, and improve decision making across manufacturing and supply chain processes. Softeon | Warehouse Management Softeon, a warehouse management provider, supports complex distribution operations with capabilities that improve control, flexibility, and execution performance. Tech Partners Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "ketteQ - neos by Argon & Co" source_url: "https://neosbyargonandco.com/tech-partners/ketteq" page_path: "/tech-partners/ketteq" page_type: "generic" crawled_at: "2026-09-23T13:49:55Z" content_changed_at: "2026-09-23T13:49:55Z" content_unchanged_days: 0 observed_days: 0 --- ketteQ - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co ketteQ Supply Chain Planning reimagined for a New Era. Built for Agility. Designed for Impact. Meet KetteQ The next generation of supply chain planning software built for a world defined by disruption, volatility, and constant change. ketteQ is more than a planning system; it's a fundamentally different approach to supply chain planning. Built for continuous change, ketteQ replaces rigid linear processes with an adaptive platform that enables organizations to think in scenarios, act in real-time, and align every function-from supply chain to sales to finance. Developed natively on the Salesforce platform, ketteQ connects planning with execution, empowering teams to collaborate, configure, and scale quickly. It's modular architecture allows companies to solve their most pressing challenges first-and then expand with ease as needs evolve. As supply chains face greater disruption, complexity, and pressure than ever, ketteQ delivers a new approach to planning designed for constant change. This is not an upgrade to old technology-it's a purpose-built platform for today's unpredictable world. ketteQ empowers organization to plan every possibility. By combining adaptive logic, intelligent automation, and real-time collaboration, companies can model uncertainty, improve decision-making, and respond faster across the entire supply chain. neos + ketteQ Alignment. Shared Vision. Real Results. One partnership, complete value neos by Argon & Co and ketteQ combine world-class planning technology with proven supply chain and business transformation expertise. Plan smarter, act faster Our solutions connect strategy to execution - turning complex supply chain challenges into clear, confident decisions. With you every step of the way From design and implementation to optimization, we work together to deliver lasting impact and ongoing success. Adaptive Capabilities ketteQ offers a suite of modular planning solutions designed to address the complexities of today's dynamic supply chains. Built on a cloud-native architecture and powered by the PolymatiQ(TM) agentic AI solver engine, these solutions provide real-time adaptability, seamless integration, and enhanced decision-making across various functional areas. Integrated Business Planning Unify strategic, operational, and financial planning processes. ketteQ's IBP solution facilitates cross-functional collaboration, enabling organizations to align goals, anticipate disruptions, and make informed decisions that drive growth and resilience. Demand Planning Enhance forecast accuracy with AI-driven insights. ketteQ's demand planning leverages machine learning and predictive analytics to process multiple data signals, enabling organizations to anticipate market shifts and adjust plans proactively. Supply Planning Optimize supply chain operations with real-time adaptability. ketteQ's supply planning solution incorporates constraint-based replenishment and dynamic scenario analysis, allowing businesses to respond swiftly to changing conditions and maintain optimal inventory levels. Inventory Optimization Balance service levels and inventory costs effectively. ketteQ's inventory optimization tools utilize multi-echelon and multi-item analysis to ensure the right products are available at the right locations, minimizing waste and maximizing efficiency. Service Parts Planning Ensure high service levels with intelligent parts management. ketteQ's service parts planning addresses complex part chaining and repair order planning, providing visibility and control over service inventory to meet customer expectations consistently. Fulfillment and Allocation Improve order fulfillment accuracy and efficiency. ketteQ's fulfillment and allocation solution uses real-time data and AI-driven insights to manage resource distribution, ensuring timely deliveries and optimal customer satisfaction. Control Tower Gain end-to-end visibility and proactive control over your supply chain. ketteQ's control tower provides real-time monitoring, exception management, and advanced analytics, empowering organizations to make data-driven decisions and respond effectively to disruptions. By integrating these functional areas, ketteQ enables organizations to build a resilient, responsive, and intelligent supply chain ecosystem that complements existing systems and prepares them for future challenges. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Kinaxis - neos by Argon & Co" source_url: "https://neosbyargonandco.com/tech-partners/kinaxis" page_path: "/tech-partners/kinaxis" page_type: "generic" crawled_at: "2026-09-23T13:49:59Z" content_changed_at: "2026-09-23T13:49:59Z" content_unchanged_days: 0 observed_days: 0 --- Kinaxis - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co Kinaxis Supply Chain Planning for mid-sized & emerging enterprises. Meet Kinaxis The Power of Kinaxis, right-sized for your business. Supply chains do not change one function at a time. A shift in demand can affect supply, capacity, inventory, customer commitments and financial performance simultaneously. Traditional planning processes often evaluate these effects sequentially, creating delays when the business needs answers quickly. Kinaxis Maestro(R) brings demand, supply, inventory and operational planning together through concurrency, allowing teams to understand the implications of change, evaluate alternatives and make decisions while there is still time to influence the outcome. Neos combines deep supply chain expertise with proven Kinaxis implementation, integration and application development capabilities. Together, neos and Kinaxis enable organizations to use Maestro not simply as a planning system, but as a foundation for faster decision making, more responsive planning and broader supply chain orchestration. neos + Kinaxis Make the most of your investment in supply chain orchestration. Authorized Value-Added Kinaxis Reseller Platinum Certified Implementation Partner 2023 Kinaxis Partner of the Year World-Class Customer Experience Center Premier Training Partner Specialized Industry Expertise Value Proposition From sequential planning to concurrent decision making. Kinaxis Maestro synchronizes planning across functions and time horizons, allowing teams to evaluate change without waiting for one planning process to finish before another begins. neos translates that capability into practical value by designing the processes, models and decision structures required to improve planning performance, accelerate response and support better business outcomes. Learn more about Kinaxis Planning One Identify supply and demand misalignment sooner Continuously evaluate changes in demand, supply, inventory and capacity within a synchronized planning environment. Teams can recognize emerging gaps earlier and address them before they affect production, customer service or financial performance. Understand the broader impact of a proposed change See how a planning decision in one area affects the rest of the supply chain. Kinaxis Maestro allows teams to assess the implications for materials, capacity, inventory, customer commitments and other operational priorities before implementing a change. Evaluate multiple scenarios quickly Model alternative responses while conditions are still developing. Planners can compare feasible scenarios using current supply chain data, understand the consequences of each option and determine which response best supports the organization's priorities. Balance service, cost, capacity and inventory tradeoffs Evaluate competing objectives within the same planning environment instead of optimizing one function at the expense of another. Teams can make tradeoffs more explicitly and select plans that better support overall business performance. Align operational and financial plans Translate changes in demand, supply and capacity into their financial implications. This gives supply chain and business leaders a shared view of the assumptions, constraints and expected outcomes behind the plan. Respond to disruption with greater speed and confidence When conditions change, quickly identify what is affected, evaluate available options and coordinate the appropriate response. Concurrent planning reduces delays created by sequential analysis and gives decision makers greater confidence in the actions they take. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Relex - neos by Argon & Co" source_url: "https://neosbyargonandco.com/tech-partners/relex" page_path: "/tech-partners/relex" page_type: "generic" crawled_at: "2026-09-23T13:50:03Z" content_changed_at: "2026-09-23T13:50:03Z" content_unchanged_days: 0 observed_days: 0 --- Relex - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co RELEX Explore how RELEX supports the entire consumer goods value chain. Meet Relex An AI-native platform for end-to-end planning. RELEX provides a unified, AI-native platform that retailers, manufacturers, and wholesalers use to improve forecast accuracy, optimize inventory, pricing, merchandising, and production, and plan seamlessly end-to-end, from production to shelf. By combining built-in AI and agentic AI with deep retail and supply chain expertise, RELEX drives smarter decisions, higher product availability, increased sales, improved sustainability, and profitable growth at scale. What does planning with RELEX look like? Forecast accuracy improves because every signal, demand, supply, pricing, promotions, feeds a single model. Inventory levels drop because replenishment decisions are automated and self-correcting. Waste decreases because the platform sees disruptions before they become problems. RELEX's predictive technology responds to growing supply chain complexity and market volatility. Refined across 600+ enterprise implementations, RELEX AI models take the guesswork out of supply chains, using real-time data to deliver unified forecasts, automated processes, and actionable insights. The result is planning that connects every part of an operation, not just better reports, but decisions that actually move the business forward. Our selection of RELEX was driven by their proven expertise in the home improvement retail sector. We were particularly impressed by their advanced, AI-driven approach and the flexibility of their inventory management systems. RELEX is well-known for their automation capabilities and exceptional dashboard. Working with both RELEX and Accenture aligns with our ongoing commitment to leveraging innovative solutions to enhance our business processes. Camille Fratanduono Break down silos for a unified view of your supply chain. The RELEX ecosystem connects suppliers, distributors, and retailers with a shared view of demand, inventory, and supply, so consumers get the products they want, however they choose to shop. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Meet SAP SAP Digital Supply Chain connects the processes, data and decisions that shape performance across the end-to-end supply chain. By bringing together planning, procurement, manufacturing, inventory, warehousing, transportation and logistics execution, SAP provides organisations with greater visibility across operations and a stronger foundation for coordinated decision-making. The result is a more connected supply chain that can respond faster to changing demand, supply disruption and customer expectations in increasingly complex global operating environments. From warehouse management and transportation to automation, inventory orchestration and advanced planning, SAP supports the integration of critical supply chain capabilities within a common digital ecosystem. Its solutions help organisations standardise processes where appropriate, improve collaboration across functions and sites, and create more reliable, data-driven operations. SAP Digital Supply Chain is designed to support transformation at every stage, from strategic planning and process design through implementation, optimisation and continuous improvement, helping businesses build resilient, responsive and high-performing supply chains. neos + SAP Neos by Argon & Co combines SAP technology expertise with deep supply chain and operational experience to help organisations move from strategy to execution. As an SAP services partner, neos supports digital supply chain transformation across planning, procurement, manufacturing, inventory, warehousing and transportation. Its specialist capability includes complex SAP logistics environments and SAP EWM, while its practitioner-led approach focuses on integration, user adoption, operational stability and measurable performance beyond go-live. SAP Services Partner SAP Supply Chain Technology Experts Full-Lifecycle SAP EWM Implementation and Re-implementation Enterprise-Grade Warehouse, Transportation and Inventory Solutions SAP Integration with Automation and Material Flow Systems Strategy, Implementation, Remediation and Post-Go-Live Support Practical Supply Chain Expertise across Complex Operating Environments Value Proposition Neos helps organisations turn SAP investment into connected, practical supply chain performance. Combining SAP capability with deep operational experience, we support clients across the full transformation lifecycle, from strategy and solution design through implementation, integration, stabilisation and optimisation. Our focus is on making SAP work across real operating environments, connecting people, processes and technology to deliver sustainable business value. Supply Chain Strategy and Roadmap Define the transformation ambition, priorities, business case and path to implementation. Process and Solution Design Translate operational requirements into fit-for-purpose SAP processes, structures and solutions. EWM Implementation and Re-implementation Design, configure, test and deploy warehouse management solutions for complex operating environments. Logistics and Warehouse Transformation Improve warehouse, inventory and transportation processes through integrated SAP capabilities. Planning and Inventory Orchestration Connect planning, supply, inventory and execution to improve visibility and decision-making. Integration and Automation Connect SAP with automation, material flow systems, RF scanning and other operational technologies. Go-Live, Remediation and Optimisation Support implementation, hypercare, issue resolution, user adoption and continuous performance improvement. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Technology's Role in IBP - And Why Excel Won't Get You There - neos by Argon & Co" source_url: "https://neosbyargonandco.com/technologys-role-in-ibp-and-why-excel-wont-get-you-there" page_path: "/technologys-role-in-ibp-and-why-excel-wont-get-you-there" page_type: "generic" crawled_at: "2026-09-23T13:50:11Z" content_changed_at: "2026-09-23T13:50:11Z" content_unchanged_days: 0 observed_days: 0 --- Technology's Role in IBP - And Why Excel Won't Get You There - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Technology's Role in IBP - And Why Excel Won't Get You There Diane Jordan September 12, 2025 For many mid-sized companies, Excel has long been the backbone of planning. It's flexible, familiar, and-at least early on-surprisingly powerful. Most organizations don't start their planning journey intending to build complex systems. They start with spreadsheets because they work. Until they don't. As organizations mature, planning stops being a functional exercise and becomes a leadership discipline. Executives want alignment. Finance wants accountability. Operations wants feasibility. And suddenly, planning is no longer about producing a plan, it's about making decisions with confidence. That's where Integrated Business Planning (IBP) changes the game. IBP requires more than monthly meetings and well-formatted spreadsheets. It requires technology that can connect data, people, and decisions in real time. And while Excel can support early S&OP, it was never designed to enable IBP at scale. This doesn't mean mid-market companies need a seven-figure platform tomorrow. But it does mean technology must evolve alongside planning maturity. Excel: The Hero That Can't Scale Excel deserves credit. It enables early collaboration, supports basic forecasting, and gives planners freedom to model ideas quickly. But IBP introduces requirements that fundamentally break the spreadsheet model. IBP Requirement Where Excel Falls Short Cross-functional collaboration Multiple versions, conflicting assumptions Scenario planning Manual, slow, difficult to compare Financial reconciliation Separate models, disconnected logic Real-time visibility Data is outdated almost immediately Governance & accountability No audit trail or role-based control The issue isn't that Excel is "bad." The issue is that IBP depends on trust and spreadsheets erode trust over time. When every function has its own file, its own assumptions, and its own timing, leaders spend meetings debating whose numbers are right instead of deciding what to do next. According to Gartner, organizations relying heavily on spreadsheets for planning experience 30-40% longer decision cycles, with reduced responsiveness during disruption. At that point, the planning process becomes a reporting exercise-not a decision engine. IBP Technology Is About Decisions, Not Software One of the biggest misconceptions about IBP technology is that it's about buying a tool. It's not. IBP technology exists to support how decisions get made across the business. The right technology doesn't replace planners-it removes friction from the planning conversation. Effective IBP technology enables: A unified data model Demand, supply, inventory, and finance operate from the same numbers-not reconciled versions after the fact. Scenario modeling grounded in reality Leaders can evaluate tradeoffs (service, cost, margin, capacity) before decisions are made-not after performance suffers. Structured collaboration Clear ownership, version control, and workflows replace informal email-based planning cycles. Performance visibility KPIs are tied directly to decisions, enabling accountability and continuous improvement. Scalability The planning model grows as products, markets, and complexity increase-without rebuilding spreadsheets every quarter. IBP doesn't require perfection. But it does require intentional architecture. Where Mid-Market Companies Typically Start Most mid-sized organizations don't implement "full IBP" all at once-and they shouldn't. The most successful transformations begin by addressing the most painful planning gap first. Common starting points include: Strengthening planning foundations to improve visibility, consistency, and decision quality across demand, supply, and finance. Improving plan feasibility by better aligning capacity, constraints, and execution realities. Optimizing inventory policies to support service goals while protecting cash and resilience. Enhancing enterprise systems with modular planning capabilities that enable cross-functional collaboration and scenario-based decision-making. The goal isn't to buy more technology for technology's sake, it's to add capability where planning consistently breaks down. For many organizations, Excel still works for creating plans. What it can no longer support is how those plans are used. IBP shifts planning from a reporting activity to a decision-making discipline. That shift introduces new expectations including faster scenarios, financial tradeoffs, cross-functional alignment, and confidence in the numbers that spreadsheets simply weren't designed to support. This is where software becomes less about automation and more about enabling a different way of working. Planning platforms don't replace Excel because Excel is inadequate. They replace it because the business now expects: Fewer manual handoffs Faster, more frequent decisions Clear accountability and ownership One version of the truth Confidence in tradeoffs before decisions are made At that point, the limitation isn't the spreadsheet, it's the capability behind it. As SCM World notes: "The key to IBP enablement isn't buying more software - it's building the capability required to close your most critical decision gaps." Technology becomes the enabler of that capability supporting planning as an ongoing, connected process rather than a monthly exercise held together by files. Why Waiting Too Long Creates Risk Many organizations delay planning technology investments because spreadsheets still "work." But the cost of waiting is rarely visible on a balance sheet - until it is. Over time, organizations experience: Slower decision-making as data reconciliation dominates meetings Missed opportunities to optimize inventory, margin, or capacity Growing skepticism in the plan itself Planner burnout from constant manual rework Eventually, the bottleneck isn't people or process, it's the planning environment. At that point, adding more spreadsheets doesn't increase agility. It increases fragility. Conclusion: Start Small. But Start. Excel has earned its place in the planning journey. But it was never meant to support enterprise-wide alignment, executive decision-making, or real-time scenario evaluation. IBP is not about replacing spreadsheets; it's about evolving beyond them. Mid-market companies need to move deliberately. Whether the first step is better demand visibility, margin-based scenarios, or tighter planning-finance alignment, the right technology can extend planning maturity without overwhelming the organization. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "The 5-Year Outlook: How AI Will Reshape Supply Chain Roles (and When)" source_url: "https://neosbyargonandco.com/the-5-year-outlook-how-ai-will-reshape-supply-chain-roles-and-when" page_path: "/the-5-year-outlook-how-ai-will-reshape-supply-chain-roles-and-when" page_type: "generic" crawled_at: "2026-09-23T13:50:14Z" content_changed_at: "2026-09-23T13:50:14Z" content_unchanged_days: 0 observed_days: 0 --- The 5-Year Outlook: How AI Will Reshape Supply Chain Roles (and When) Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read The 5-Year Outlook: How AI Will Reshape Supply Chain Roles (and When) Diane Jordan October 10, 2025 AI is already influencing how supply chain teams plan, respond, and make decisions-but most of the workforce impact is still ahead. For companies and employees alike, the key is to understand the pace of change and prepare accordingly. This 5-year roadmap breaks down how roles in planning, procurement, logistics, and supply chain operations will evolve-and what you should be doing now to get ahead of the curve. Years 0-1: Awareness and Foundation Building What's happening: * AI pilots are underway in forecasting, demand sensing, data cleansing, and alerting * Most planners are introduced to AI through decision-support tools-not automation * Skill gaps in data literacy and digital planning tools begin to surface For companies: * Start with education and baseline assessments-what do your teams know, and where are the gaps? * Introduce AI in low-risk, supportive roles (e.g., forecast validation, exception detection) * Evaluate vendors and platforms with embedded AI, not standalone tools For employees: * Get fluent in data quality concepts and supply chain platforms beyond Excel * Learn the "why" behind planning logic-not just how to use existing reports * Stay curious about new tools-ask to be involved in pilot projects Years 1-2: Integration into Day-to-Day Operations What's happening: * AI becomes a trusted co-pilot for routine planning tasks and rapid what-if analysis * Roles begin shifting-from planners creating plans to analysts validating and refining AI output * Cross-functional collaboration becomes more critical as AI spans demand, supply, and finance For companies: * Redesign roles around decision review, not just data entry * Expand training to include scenario modeling, AI interpretation, and system fluency * Create change-management plans tied to specific team functions For employees: * Build skills in scenario thinking, risk assessment, and trade-off analysis * Learn how to challenge AI output constructively and explain decisions across functions * Develop presentation and communication skills-planners will spend more time influencing Years 2-3: Early Automation and Workflow Redesign What's happening: * Tasks like reorder triggers, inventory adjustments, and basic exception handling are automated * Human input shifts to exception scenarios and cross-silo negotiation * New roles emerge: planning orchestration lead, AI data operations manager, scenario architect For companies: * Streamline workflows to reduce manual intervention in predictable decisions * Define career paths for hybrid digital/functional roles * Formalize reskilling programs for employees whose tasks are being automated For employees: * Focus on collaboration and synthesis-pulling together insights across systems * Begin specializing (e.g., sustainability modeling, supplier-risk analysis, or digital-twin design) * Adopt a growth mindset-jobs won't disappear, but they will change shape Years 3-4: AI Maturity and Decision Delegation What's happening: * AI begins executing more dynamic actions (e.g., rerouting orders, rescheduling production) * Humans move into higher-order roles-governance, performance optimization, and strategy * Workforces split into "AI operators" and "AI explainers" depending on function For companies: * Build internal accountability frameworks for AI-driven decisions * Invest in tools that visualize and explain AI logic (to maintain trust and compliance) * Shift hiring toward digital-planning roles with cross-functional experience For employees: * Learn how to audit AI outcomes-know when to let it run and when to step in * Broaden skill sets into finance, sustainability, and business strategy * Consider certifications in AI ethics, change leadership, or integrated planning Years 4-5: Strategic Redesign of the Planning Function What's happening: * AI becomes fully embedded in the end-to-end planning process * Traditional planning cycles (weekly, monthly) give way to continuous decisioning * Humans focus on long-term planning, market sensing, and high-impact decisions For companies: * Reorganize supply chain planning into agile, insight-driven teams * Focus on governance, continuous improvement, and AI + human orchestration * Define and reward "human value" areas: judgment, relationship-building, adaptability For employees: * Transition from planning tasks to strategic enablement roles * Embrace AI as a teammate-not a threat * Be proactive-seek out mentorship, stretch roles, or new certifications to stay relevant The 5-Year AI Transition in Supply Chain Roles Here's a snapshot of how the evolution unfolds-and what both companies and employees should be prioritizing at each stage. Year AI Adoption Stage Role Evolution Company Focus Employee Focus 0-1 Awareness & Foundation Planners introduced to AI pilots / decision-support tools Assess current skills, launch pilots, evaluate embedded-AI platforms Build data literacy, understand planning logic, join pilot teams 1-2 Operational Integration Shift from data entry to AI output validation Redesign roles, expand scenario-based training, manage change Strengthen scenario thinking, risk analysis, and communication 2-3 Early Automation Routine tasks automated; hybrid roles emerge Streamline workflows, define hybrid career paths, formalize reskilling Specialize (analytics, sustainability), adopt growth mindset 3-4 AI Maturity & Delegation Humans focus on oversight & strategy Build AI-governance frameworks, invest in explainability Learn to audit AI, expand into finance / strategy, gain certifications 4-5 Strategic Redesign Continuous, AI-driven planning cycles Reorganize into agile teams, reward "human value" skills Transition to strategic enablement, mentor peers, embrace AI partnership Tip: Use this table as a planning tool. Identify where your organization stands today-and begin developing the skills that will matter two years from now. Bottom Line This isn't a tech project-it's a workforce transformation. Companies that wait until AI changes a role to reskill that role will always be behind. The leaders are mapping the evolution now-training planners, buyers, and logisticians to be strategic operators in an AI-augmented world. Whether you're in the C-suite or on the frontline, the next five years are about adapting, learning, and stepping into a more empowered version of your role. Because the future isn't just about automation-it's about amplification. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "The AI Planning Crossroads: Replace, Extend, or Rethink Your Platform? - neos by Argon & Co" source_url: "https://neosbyargonandco.com/the-ai-planning-crossroads-replace-extend-or-rethink-your-platform" page_path: "/the-ai-planning-crossroads-replace-extend-or-rethink-your-platform" page_type: "generic" crawled_at: "2026-09-23T13:50:18Z" content_changed_at: "2026-09-23T13:50:18Z" content_unchanged_days: 0 observed_days: 0 --- The AI Planning Crossroads: Replace, Extend, or Rethink Your Platform? - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read The AI Planning Crossroads: Replace, Extend, or Rethink Your Platform? Diane Jordan July 10, 2025 Artificial intelligence has quickly become one of the most discussed capabilities in supply chain planning. Nearly every planning technology vendor now promotes AI driven forecasting, AI copilots, autonomous decision engines, or agent based supply chain management. For supply chain leaders, the message can feel both exciting and overwhelming. The excitement is understandable. AI promises to improve forecast accuracy, accelerate scenario analysis, and automate routine planning decisions that traditionally required significant manual effort. At the same time, many organizations are asking a practical question. What does AI actually mean for our planning technology strategy? Many companies today find themselves at a crossroads. Their existing planning systems may still support day to day operations, yet vendors are positioning AI capabilities as the next major step forward. At the same time, some legacy platforms were never designed to support the data volumes, model complexity, or decision speeds required by modern AI capabilities. As a result, supply chain leaders are often evaluating three very different paths forward. Extending Existing Planning Platforms with AI For many organizations, the first instinct is to look for ways to extend the capabilities of their current planning systems rather than replacing them outright. In this approach, AI capabilities are layered onto the existing planning environment. Machine learning models may improve demand forecasts. Copilots can assist planners in evaluating scenarios. AI agents may monitor supply disruptions or recommend adjustments to inventory targets. This model can be attractive because it minimizes disruption. Most planning teams have invested years refining planning processes, building data integrations, and training planners on their current systems. Replacing those systems can be expensive, time consuming, and operationally risky. If the underlying planning platform is modern enough, adding AI capabilities can deliver meaningful improvements while preserving the core processes that already work well. However, this path depends heavily on the flexibility of the existing system architecture. Many older planning platforms were designed around periodic planning cycles and deterministic optimization models. These systems often struggle to support continuous data ingestion, probabilistic modeling, or real time decision updates that advanced AI applications require. In these cases, organizations may find that adding AI tools to legacy platforms introduces complexity rather than solving it. Replacing Legacy Planning Platforms For some companies, the evaluation process leads to a more fundamental realization. Their existing planning systems were designed for a different era of supply chain planning. Traditional planning platforms were built around sequential processes. Demand planning generated forecasts which then fed supply planning models which ultimately produced production or inventory plans. These steps were typically executed in batch cycles, sometimes weekly or monthly, with planners manually adjusting outputs between runs. This structure worked reasonably well in relatively stable supply chains. However, today's planning environments look very different. Supply chains must respond to demand volatility, product lifecycle changes, supplier disruptions, and global logistics constraints often in near real time. Modern planning systems increasingly rely on concurrent planning models where demand, supply, and inventory decisions update simultaneously as conditions change. These systems also integrate advanced analytics, machine learning models, and large scale scenario simulation to help planners evaluate tradeoffs quickly. Organizations operating on legacy systems often find it difficult to implement these capabilities without replacing the underlying platform. The issue is not simply whether AI features exist but whether the core architecture can support a more dynamic planning environment. When these architectural limitations become clear, the conversation shifts from incremental improvement to planning platform modernization. Rethinking the Model with Planning as a Service Alongside these technology decisions, a third model is beginning to gain traction. Rather than focusing solely on planning software, some organizations are exploring Planning as a Service models that combine technology, analytics, and operational expertise into a managed capability. In this model, companies no longer think of planning systems as standalone software tools that must be implemented and maintained internally. Instead, they leverage planning platforms, AI models, and supply chain expertise delivered through an ongoing service model. This shift reflects the increasing complexity of planning environments. AI models must be trained and refined. Data pipelines must be maintained. Planning processes must evolve as supply chains change. Many organizations find that maintaining this level of capability internally requires skills and resources that are difficult to sustain. Planning as a Service offers an alternative approach. Instead of building and operating every component internally, organizations partner with providers that continuously manage planning technology, data models, and analytical capabilities. While still emerging, this model reflects a broader shift in enterprise technology from owning systems to consuming capabilities. Why AI Is Forcing the Decision Now Planning technology decisions have always been important, but AI is accelerating the timeline. In the past, organizations might revisit their planning platforms every decade, often aligned with ERP upgrades or major transformation programs. Today, the pace of innovation in AI and advanced analytics is encouraging companies to reevaluate those timelines. Supply chain leaders must now consider whether their planning environments can support capabilities such as probabilistic forecasting, automated scenario generation, and agent driven decision support. These capabilities promise meaningful improvements in responsiveness and efficiency, but they also place new demands on data architecture, system performance, and planning processes. The result is a strategic decision point. Companies must determine whether their current planning environments can evolve to support these capabilities or whether a more fundamental transformation is required. There is no single correct answer. The right path depends on the maturity of existing planning processes, the flexibility of the current technology landscape, and the organization's appetite for change. What is clear is that AI is not simply another feature to add to planning systems. It is reshaping how supply chain decisions are made and that shift requires careful consideration of the technology foundations that support those decisions. A Series on AI and the Future of Supply Chain Planning This article is the first in a series exploring how artificial intelligence is reshaping supply chain planning. In the coming posts, we will examine when extending existing planning systems with AI makes sense, how to determine whether legacy planning platforms should be replaced, what Planning as a Service looks like in practice, and how to distinguish genuine AI capabilities from marketing buzzwords. The goal of this series is to help supply chain leaders navigate the rapidly evolving planning technology landscape and make informed decisions about the future of their planning capabilities. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? Hide Toolbar Duration Only for this session 24 hours A Week Not Now Hide Toolbar Select your accessibility profile Vision Impaired Mode Enhances website's visuals Seizure Safe Profile Clear flashes & reduces colour ADHD Friendly Mode Focused browsing, distraction-free Blindness Mode Reduces distractions, improves focus Epilepsy Safe Mode Dims colours and stops blinking Content Modules Font Size + Default - Readable Font Line Height + Default - Cursor Letter Spacing Align Text Font Weight Colour Modules Light Contrast High Contrast Monochrome Orientation Modules Reading Line Reading Mask Hide Images Highlight Content Stop Animations Highlight Links Skip To Content Choose... Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "The Case for Concurrent Planning in Modern Business - neos by Argon & Co" source_url: "https://neosbyargonandco.com/the-case-for-concurrent-planning-in-modern-business" page_path: "/the-case-for-concurrent-planning-in-modern-business" page_type: "generic" crawled_at: "2026-09-23T13:50:21Z" content_changed_at: "2026-09-23T13:50:21Z" content_unchanged_days: 0 observed_days: 0 --- The Case for Concurrent Planning in Modern Business - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read The Case for Concurrent Planning in Modern Business Diane Jordan August 7, 2026 The demands of modern business require a shift in how companies approach supply chain management. Traditional sequential planning methods, characterized by siloed operations and delayed decision-making, no longer suffice. In an era defined by e-commerce, globalization, and customer-centric models, businesses need a dynamic, responsive approach: Concurrent Planning . Traditional Planning's Limitations Sequential planning often results in inefficiencies such as delayed responses, inventory mismanagement, and communication gaps between departments. These inefficiencies lead to increased costs and dissatisfied customers. As market volatility and disruption become the norm, businesses relying on outdated methods risk falling behind. Why Concurrent Planning Matters Concurrent planning offers a game-changing alternative by integrating technology, processes, and people to enable simultaneous decision-making. Real-time data visibility and cross-functional collaboration allow companies to adapt quickly to changes in supply, demand, or production. Key features include: Real-time insights : Immediate access to data allows for more accurate forecasting and scenario planning. Collaboration across functions : Teams work together seamlessly, breaking down silos and accelerating decision-making. Advanced technology : AI, machine learning, and cloud-based tools empower businesses to run "what-if" scenarios for tactical and strategic decisions. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "The Case for Replacing Legacy Planning Platforms in the AI Era - neos by Argon & Co" source_url: "https://neosbyargonandco.com/the-case-for-replacing-legacy-planning-platforms-in-the-ai-era" page_path: "/the-case-for-replacing-legacy-planning-platforms-in-the-ai-era" page_type: "generic" crawled_at: "2026-09-23T13:50:24Z" content_changed_at: "2026-09-23T13:50:24Z" content_unchanged_days: 0 observed_days: 0 --- The Case for Replacing Legacy Planning Platforms in the AI Era - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read The Case for Replacing Legacy Planning Platforms in the AI Era Diane Jordan July 22, 2025 In the previous articles in this series, we explored two important questions shaping the future of supply chain planning. First, many organizations are evaluating how artificial intelligence will influence their planning technology strategy. Second, for companies with mature planning environments, extending existing platforms with AI capabilities can often deliver meaningful improvements without requiring major disruption. However, not every planning system can support this approach. As organizations begin experimenting with AI driven forecasting, decision intelligence, and real time scenario analysis, some discover that their existing planning platforms were designed for a very different era of supply chain management. In these situations, extending the platform may not be enough. The conversation shifts toward a more fundamental question. Is the planning platform itself limiting our ability to evolve? Understanding when that shift becomes necessary is critical for organizations evaluating their next generation planning strategy. Why Many Legacy Planning Platforms Struggle with AI Many planning systems that are still widely used today were originally built around sequential planning processes. Demand planning produced a forecast. That forecast was passed to supply planning. Supply plans then generated production schedules or inventory targets. This structure worked well in environments where supply chains were relatively stable and planning cycles occurred weekly or monthly. Planners had time to analyze results, make adjustments, and release updated plans. Today's supply chains operate very differently. Demand signals shift rapidly. Product portfolios change frequently. Supplier disruptions and transportation constraints can appear with little warning. In this environment, planning teams must evaluate tradeoffs continuously and adjust plans quickly. Artificial intelligence is accelerating this shift. Machine learning models, predictive analytics, and automated scenario evaluation allow organizations to analyze potential supply chain outcomes much faster than traditional planning approaches. However, these capabilities place new demands on planning systems. Many legacy platforms rely on rigid data models, batch processing cycles, and limited computational flexibility. They were not designed to ingest large volumes of external data, continuously retrain analytical models, or run large numbers of planning scenarios simultaneously. As organizations attempt to introduce these capabilities, the limitations of the underlying platform become more visible. Signs Your Planning Platform May Be Holding You Back Not every planning system needs to be replaced. However, there are several indicators that the current platform may be limiting planning performance. One common signal is the difficulty of running scenarios quickly. If planners must wait hours or days to evaluate changes to demand, capacity, or supply conditions, it becomes difficult to respond to disruptions in real time. Another signal is the growing number of external tools required to compensate for system limitations. Many organizations introduce spreadsheets, analytics platforms, or custom tools to perform tasks that the planning system cannot support directly. Over time this can create a fragmented planning environment where decisions are spread across multiple systems. Data integration challenges are another indicator. Modern supply chain planning increasingly depends on combining internal operational data with external signals such as market trends, supplier performance, or logistics data. If the planning platform struggles to integrate these sources efficiently, the ability to apply advanced analytics becomes limited. Finally, some organizations discover that their planning systems cannot support concurrent planning approaches where demand, supply, and inventory decisions update simultaneously. When systems require sequential planning cycles, decision speed becomes constrained. Individually these issues may seem manageable. Collectively they often signal that the planning architecture itself may need modernization. Five Questions to Ask When Evaluating Platform Replacement Replacing a planning platform is a significant decision. Before taking that step, organizations should carefully evaluate whether their current systems can evolve to support future planning capabilities. The following questions can help guide that evaluation. 1. Can our current planning system support concurrent planning? Modern planning environments increasingly require demand, supply, and inventory decisions to update simultaneously as conditions change. If the current platform relies on sequential planning cycles, it may struggle to support faster decision making. 2. Can the platform scale to support advanced analytics and AI models? AI driven planning capabilities often require significant computational power and flexible data models. Organizations should assess whether their current system can scale to support these capabilities without major customization. 3. How easily can new data sources be integrated? Supply chain decisions increasingly depend on combining operational data with external signals. If integrating new data sources requires extensive manual effort or complex system changes, the planning platform may limit future innovation. 4. Are planners relying heavily on external tools to complete their work? If spreadsheets, analytics tools, or custom applications have become central to the planning process, it may indicate that the current planning system no longer supports the full decision environment. 5. Can the system support real time scenario analysis? One of the most valuable capabilities of modern planning platforms is the ability to evaluate multiple scenarios quickly. If scenario analysis remains slow or limited, planners may struggle to respond effectively to supply chain disruptions. These questions help organizations move beyond vendor messaging and evaluate whether their planning infrastructure can support future planning capabilities. Modern Planning Platforms Are Built for Continuous Decision Making New planning platforms are being designed with a different architectural philosophy. Rather than executing sequential planning cycles, modern systems support concurrent planning where changes to demand, supply, and inventory conditions propagate throughout the model immediately. This allows planners to understand the impact of disruptions or demand changes much faster. These platforms are also designed to integrate advanced analytics, machine learning models, and external data sources more easily. This flexibility allows organizations to experiment with new analytical approaches without constantly rebuilding system integrations. The goal is not simply to introduce AI capabilities. The goal is to create a planning environment where decisions can evolve continuously as supply chain conditions change. A Strategic Decision for the Next Generation of Planning Replacing a planning platform is not a decision organizations take lightly. It requires careful planning, organizational alignment, and a clear understanding of the capabilities the new system must support. However, for companies operating on platforms that struggle to integrate modern analytics or support faster planning cycles, replacement may ultimately become the most effective path forward. As artificial intelligence continues to reshape supply chain planning, organizations must ensure that the technology foundations supporting their planning processes are capable of evolving alongside those capabilities. Looking Ahead In the next article in this series, we will explore a third path that many organizations are beginning to consider. Rather than simply extending or replacing planning platforms, some companies are exploring a different model entirely. Planning as a Service combines modern planning platforms, advanced analytics, and operational expertise into a continuously managed capability. For organizations facing rapidly changing planning environments, this model may offer a new way to maintain advanced planning capabilities without continually rebuilding internal technology stacks. Understanding how this model works and when it may be appropriate will be the focus of our next discussion. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "The Crawl-Walk-Run Path to IBP for Mid-Sized Companies - neos by Argon & Co" source_url: "https://neosbyargonandco.com/the-crawl-walk-run-path-to-ibp-for-mid-sized-companies" page_path: "/the-crawl-walk-run-path-to-ibp-for-mid-sized-companies" page_type: "generic" crawled_at: "2026-09-23T13:50:28Z" content_changed_at: "2026-09-23T13:50:28Z" content_unchanged_days: 0 observed_days: 0 --- The Crawl-Walk-Run Path to IBP for Mid-Sized Companies - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read The Crawl-Walk-Run Path to IBP for Mid-Sized Companies Diane Jordan September 2, 2025 For many mid-sized companies, Integrated Business Planning (IBP) sounds like a far-off ideal-something only the big players can afford to do. But that's a myth. In reality, IBP isn't a "go live" moment. It's a journey. And like any journey, the best way to get there is to take it one step at a time. At Scott Sheldon, we often guide clients through a Crawl-Walk-Run framework that helps them evolve their planning process intentionally, with a focus on impact, readiness, and ROI. Here's what that progression typically looks like-and how to move forward without overextending your team, tech stack, or resources. Crawl: Strengthen the Core S&OP Process Goal: Build a reliable, cross-functional monthly planning cadence that sets the foundation for IBP. Focus Areas: * Align demand and supply plans at an aggregated level * Establish a formal planning calendar and meeting structure * Introduce cross-functional participation (supply chain, sales, operations) * Create a single source of truth-even if it's still Excel-based * Define clear accountability for inputs and decisions Key Indicators of Success: * S&OP meetings happen regularly and result in decisions * Forecasts are reviewed collaboratively * Supply and demand plans are reconciled and understood * Teams trust the process enough to act on it "IBP maturity starts with a consistent, credible S&OP process. Without that, nothing else sticks." - Oliver Wight, Best Practices in IBP Added Perspective: At this stage, success isn't about technology-it's about discipline. The companies that progress fastest are those that create rhythm and accountability, even before introducing new tools. Reliable data, consistent calendars, and cross-functional participation form the cultural foundation that enables later integration. Walk: Integrate Finance and Start Scenario Thinking Goal: Expand S&OP to include strategic and financial alignment-setting the stage for integrated planning. Focus Areas: * Introduce finance as a core stakeholder * Link plans to budget, revenue targets, and margin goals * Start building simple what-if scenarios (e.g., supplier disruption, demand shifts) * Use structured playbooks for common planning decisions * Begin to digitize key parts of the process with lightweight tools (e.g., scenario templates, constrained planning modules) Key Indicators of Success: * Financial targets are reviewed in planning meetings * Scenarios are used to inform decisions-not just after-the-fact analysis * Cross-functional teams collaborate beyond monthly meetings * KPIs are tied to business performance, not just operations Companies that integrated financial metrics into their S&OP process were 2.5x more likely to hit margin targets. - McKinsey, "Integrated Business Planning in the Real World," 2023 Added Perspective: This is where mid-sized companies begin to connect planning to profit. Finance becomes more than a reviewer-it becomes a partner. Scenario thinking replaces static planning, allowing leaders to make decisions proactively rather than reactively. At this stage, small digital steps-like scenario templates or automated data refreshes-can unlock significant confidence and speed. Run: Enable Enterprise-Level Agility and Planning Integration Goal: Fully integrate strategic, operational, and financial planning with end-to-end visibility and agility. Focus Areas: * Adopt a planning platform (e.g., Kinaxis, ketteQ) that supports constraint-based, cross-functional planning * Automate scenario modeling, reconciliation, and reporting * Extend planning across regions, business units, and product lines * Link long-term plans (e.g., CapEx, headcount) to tactical execution * Drive performance discussions based on leading indicators and real-time metrics Key Indicators of Success: * Decisions are informed by end-to-end visibility and scenario comparisons * Planning teams can rapidly adjust to change with confidence * Executives use planning outputs to shape business strategy * The planning process drives measurable business performance (e.g., working capital reduction, forecast accuracy, EBITDA lift) Added Perspective: At the "run" stage, planning becomes a strategic differentiator. Technology supports-not defines-the process. The most advanced organizations use IBP not just to align plans but to simulate futures, anticipate risk, and guide investment decisions. This is where true agility meets profitability. Crawl-Walk-Run Summary Table Here's how the journey typically progresses-and what to prioritize at each stage. Stage Primary Goal Core Focus Areas Technology Maturity Organizational Outcomes Crawl Establish a credible, repeatable S&OP process Calendar discipline, data alignment, cross-functional meetings Basic (Excel / shared data) Process trust, accountability, and visibility begin Walk Integrate finance and introduce scenario planning Financial alignment, KPI linkage, scenario playbooks Light digitization (templates, basic automation) Decisions become financially informed and proactive Run Achieve enterprise-level IBP with real-time agility End-to-end planning, automation, analytics, visibility Advanced (Kinaxis, ketteQ, or equivalent) Planning drives strategy, profitability, and resilience Tip: Don't rush to "run." Each stage builds on the last. Mastering the crawl and walk phases ensures adoption, clarity, and long-term ROI. Don't Rush the Run-Earn It Trying to "run" before you crawl leads to: * Process confusion * Tool underutilization * Low adoption * Executive fatigue Instead, embrace your stage and build upward with intent. Even "crawling" companies can realize major benefits in service levels, cash flow, and operational stability. Conclusion: Maturity Is a Competitive Advantage-One Step at a Time IBP isn't just for billion-dollar businesses. It's a **mindset-and a capability-**that any company can build with the right roadmap. By progressing through the Crawl-Walk-Run model, mid-sized companies can: * Avoid wasteful implementations * Build organizational confidence * Link planning to performance * Scale maturity at the right pace Because IBP isn't about perfection-it's about progress. And every step you take toward integration builds a stronger, more agile business ready for what's next. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "The Difference Between Planning Data and Planning Decisions - neos by Argon & Co" source_url: "https://neosbyargonandco.com/the-difference-between-planning-data-and-planning-decisions" page_path: "/the-difference-between-planning-data-and-planning-decisions" page_type: "generic" crawled_at: "2026-09-23T13:50:31Z" content_changed_at: "2026-09-23T13:50:31Z" content_unchanged_days: 0 observed_days: 0 --- The Difference Between Planning Data and Planning Decisions - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read The Difference Between Planning Data and Planning Decisions Diane Jordan September 25, 2025 Most organizations today have more planning data than they have ever had before. Forecasts are refreshed frequently, dashboards are widely available, and performance metrics exist at nearly every level of the business. Yet despite this abundance of information, many leadership teams still struggle to make timely and confident decisions. The problem is rarely a lack of data. More often, it is a lack of clarity around what decisions the data is meant to support. Over time, many planning organizations begin to confuse the presence of information with the ability to decide. While the two are closely related, they are not the same. Understanding the distinction becomes increasingly important as supply chains grow more complex and less predictable. When Planning Becomes About Producing Numbers In the early stages of a planning journey, the primary focus is visibility. Teams work hard to improve data quality, align definitions, and create a consistent forecast. This work is necessary and valuable. However, as organizations mature, the emphasis on producing numbers can quietly become the goal rather than the foundation. Planning cycles become centered on finalizing the forecast, reconciling differences between functions, and ensuring that reports are complete. Meetings are structured around reviewing what has changed rather than discussing what should be done next. Over time, planning becomes descriptive instead of directional. The organization knows what is happening but struggles to agree on how to respond. Why More Data Often Slows Decision Making When decision confidence remains low, the instinctive response is often to add more information. Additional reports are created. More scenarios are requested. Greater detail is layered into models. Paradoxically, this usually makes decisions harder rather than easier. Data by itself does not establish priority. It does not explain tradeoffs. And it does not answer the fundamental question leaders are asking when conditions shift. What choice should we make now? Without clear decision framing, different functions interpret the same information through different lenses. Sales sees opportunity. Operations sees risk. Finance sees exposure. Each perspective is valid, yet without structure, alignment becomes elusive. Discussions extend, meetings multiply, and momentum slows. What Planning Decisions Actually Represent A planning decision is not the outcome of a calculation. It is the selection of one path among several viable options. These choices typically involve tradeoffs that matter to the business. Service versus margin. Inventory versus cash. Responsiveness versus stability. Data informs these discussions, but it cannot resolve them on its own. Decisions require judgment, context, and alignment around business priorities. When planning processes stop at presenting information, leaders are left to interpret implications independently. When planning enables decision making, the organization aligns around intent before execution begins. Where Many Planning Processes Fall Short In many organizations, planning processes end just before this critical moment. Teams deliver forecasts, capacity views, and inventory projections with the expectation that decisions will naturally follow. Instead, meetings become forums for explanation and debate. Time is spent validating assumptions, reconciling differences, and defending positions. The quality of the data is rarely in question. The direction forward often is. When this pattern repeats, planning begins to feel disconnected from action. Leaders grow frustrated. Planners feel unheard. Confidence in the process erodes. This breakdown is not caused by a lack of effort. It reflects a planning model that has not yet matured to support decision driven conversations. The Role of Planning Maturity As planning maturity increases, the role of data begins to change. Data remains essential, but it is no longer the destination. It becomes the foundation upon which decisions are evaluated. Rather than asking whether the forecast is correct, teams focus on understanding the implications of different choices. Scenarios are used to explore options, not to defend positions. Assumptions are discussed openly and aligned across functions. The objective shifts from precision to clarity. This transition marks a critical inflection point. Organizations that achieve it find that planning meetings become more productive and decisions occur more quickly, even in uncertain conditions. Turning Information Into Action Organizations that consistently translate planning into action tend to approach planning differently. They define the decisions that must be made before the meeting begins. They agree on which tradeoffs matter most. They use scenarios to inform judgment rather than replace it. Most importantly, they leave planning discussions with clear direction and ownership. In these environments, planning supports leadership rather than competing with it. Why This Distinction Matters Now In more stable environments, delayed decisions may have limited impact. Plans do not change frequently, and small inefficiencies are often absorbed. Today, volatility has become constant. Constraints shift quickly. Opportunities appear and disappear faster than traditional planning cycles can accommodate. In this context, the ability to decide matters more than the ability to report. When planning remains focused on data alone, organizations struggle to respond. When planning enables decisions, they adapt. The Bottom Line Planning data is necessary, but it is not sufficient. Data explains what is happening. Decisions determine what happens next. As organizations mature, the true value of planning lies not in the accuracy of numbers, but in the clarity of choices they enable. The difference between planning data and planning decisions is ultimately the difference between information and leadership. And that distinction defines whether planning becomes a strategic advantage or a persistent source of frustration. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "The Future of Planning: From Systems to Autonomous Decision Networks - neos by Argon & Co" source_url: "https://neosbyargonandco.com/the-future-of-planning-from-systems-to-autonomous-decision-networks" page_path: "/the-future-of-planning-from-systems-to-autonomous-decision-networks" page_type: "generic" crawled_at: "2026-09-23T13:50:35Z" content_changed_at: "2026-09-23T13:50:35Z" content_unchanged_days: 0 observed_days: 0 --- The Future of Planning: From Systems to Autonomous Decision Networks - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read The Future of Planning: From Systems to Autonomous Decision Networks Diane Jordan May 12, 2025 Supply chain planning is approaching an important crossroads. For decades, organizations have relied on planning systems to forecast demand, balance supply and demand, and optimize production and inventory decisions. These systems became essential tools for managing increasingly complex global supply chains and helped planners navigate the tradeoffs between service levels, cost, and operational constraints. Today, however, the planning landscape is changing rapidly. Artificial intelligence, new data sources, and evolving technology architectures are forcing supply chain leaders to rethink how planning capabilities should be built, maintained, and integrated into the broader business. As supply chains become more dynamic and more connected, the traditional model of implementing a planning system and operating it for many years with limited change is beginning to give way to something more adaptive. Throughout this series, we have explored the choices organizations face at The Crossroads in Supply Chain Planning . Some companies are choosing to extend their existing planning platforms by introducing artificial intelligence capabilities that enhance forecasting accuracy, improve scenario analysis, and provide more sophisticated decision support. For these organizations, the goal is to unlock new value from the planning technologies already in place. Others are evaluating whether legacy planning platforms can support the next generation of analytics and automation. In some cases, these systems were designed before modern AI and data architectures became possible, leading organizations to consider whether replacing these platforms may be necessary to support future planning capabilities. We also explored the growing interest in Planning as a Service , an operating model that combines planning platforms, advanced analytics, and specialized expertise to maintain modern planning capabilities in an environment where technology and AI continue to evolve quickly. Along the way, we examined how supply chain leaders can distinguish real artificial intelligence from traditional algorithms , and how to evaluate vendor claims in a technology landscape where nearly every platform now promotes AI capabilities. We also decoded many of the buzzwords appearing in supply chain technology discussions , including cognitive planning, digital twins, generative planning, and Agentic AI, helping clarify what these terms mean in practice. Taken together, these conversations reveal an important shift. Supply chain planning is no longer simply about selecting the right software platform. Increasingly, it is about defining the future operating model for planning itself . From Planning Systems to Planning Capabilities Historically, organizations implemented planning systems as standalone technology platforms designed to support a structured planning process. Companies selected a planning tool, integrated it with ERP systems and operational data sources, and trained planners to operate the environment. The system produced forecasts, supply plans, and inventory recommendations that planners reviewed, adjusted, and ultimately approved. In this model, the planning system functioned primarily as a computational engine that supported human decision making. However, modern planning environments are beginning to move beyond static systems and periodic planning cycles. Instead of functioning as isolated tools, planning platforms increasingly operate as connected decision environments that continuously monitor supply chain signals and generate insights. These systems analyze large volumes of operational and external data, detect emerging risks, and allow planners to evaluate potential responses far more quickly than in traditional planning environments. In this sense, planning is gradually evolving from a system that supports decisions into a continuously operating capability that helps guide them. The Rise of AI Assisted Planning Artificial intelligence is accelerating this shift. Machine learning forecasting models can identify demand signals that traditional statistical techniques may overlook, allowing organizations to detect changes in customer demand earlier. At the same time, advanced analytics can surface emerging supply risks or operational disruptions before they affect service levels or inventory availability. Scenario modeling capabilities are also becoming more powerful, enabling planners to evaluate multiple supply chain responses quickly and explore the potential impact of disruptions before they occur. Together, these capabilities allow planning organizations to move from reactive decision making toward more proactive planning strategies. Rather than responding to problems after they arise, planners can identify potential issues earlier and evaluate alternative responses with greater confidence. The Emergence of Agent Assisted Planning The next stage in this evolution is the introduction of intelligent software agents within planning environments. These agents continuously monitor supply chain data, detect anomalies, identify emerging risks, and recommend potential responses. For example, an AI agent might recognize a sudden shift in demand signals, identify a potential inventory shortage weeks in advance, and suggest supply adjustments or alternative sourcing strategies. These agents are not designed to replace planners. Instead, they function as analytical assistants that help planners monitor increasingly complex supply chain environments and surface insights that might otherwise go unnoticed. As supply chains become more dynamic and data rich, this type of support becomes increasingly valuable. Toward Autonomous Decision Networks As AI technologies continue to mature, planning environments may eventually evolve into what can be described as autonomous decision networks. In these environments, planning systems go beyond producing forecasts and supply plans. Instead, they continuously monitor demand signals, supply constraints, logistics performance, and external market conditions. They simulate potential disruptions, evaluate alternative responses, and generate recommendations that planners can review. In certain situations, systems may even execute operational adjustments automatically within predefined governance rules. Rather than operating through periodic planning cycles, these environments function continuously, responding to new information as it becomes available. This does not mean that supply chain planning becomes fully autonomous. Instead, the planning organization evolves into a decision network in which intelligent systems and human planners work together to manage increasingly complex supply chain environments. The Changing Role of the Planner As planning environments evolve, the role of the planner will continue to change. Traditional planning roles often involved managing spreadsheets, adjusting forecasts, and reconciling planning data across multiple systems. Much of this work was manual and time consuming. AI driven planning environments automate many of these tasks, allowing planners to spend less time managing data and more time interpreting insights and evaluating strategic tradeoffs. As a result, planners increasingly focus on coordinating decisions across commercial, operational, and financial teams while guiding the organization through complex decisions involving service levels, cost structures, and supply chain risk. The most successful planners of the future will combine supply chain expertise with strong analytical thinking and the ability to interpret AI generated insights. Rather than replacing planners, artificial intelligence is elevating the role of planning within the organization. Planning Organizations as Decision Centers In many organizations, planning teams are already evolving into cross functional decision centers. These teams integrate insights from sales, operations, procurement, logistics, and finance to guide supply chain decisions across the enterprise. Artificial intelligence amplifies this capability by providing earlier signals, faster scenario analysis, and deeper insights into potential supply chain outcomes. In this environment, planners are not simply generating plans. They are helping guide the organization through complex tradeoffs between service levels, cost, risk, and growth. Returning to the Crossroads The future of supply chain planning will not be defined by a single technology decision. Organizations today face several important choices. Should they extend their current planning platforms with AI capabilities? Should they replace legacy systems that were not designed for modern analytics? Should they explore new operating models such as Planning as a Service? How should they evaluate vendor claims around artificial intelligence? And how should planning organizations prepare for the increasing use of intelligent agents and automation? These are the questions that define the crossroads in supply chain planning . A Final Thought Artificial intelligence will undoubtedly reshape supply chain planning in the years ahead. However, the organizations that succeed will not simply be those that adopt AI technologies. They will be the organizations that rethink how planning capabilities are built, how planners interact with intelligent systems, and how supply chain decisions are made across the enterprise. The future of planning is not autonomous systems replacing planners. The future of planning is humans and intelligent systems working together to guide increasingly complex supply chains and make better decisions faster . At this crossroads, the most important decision organizations can make is not simply choosing a technology platform. It is choosing how they want their planning capability to evolve. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "The Future of Supply Chain Planning Series: Part 2 - neos by Argon & Co" source_url: "https://neosbyargonandco.com/the-future-of-supply-chain-planning-series" page_path: "/the-future-of-supply-chain-planning-series" page_type: "generic" crawled_at: "2026-09-23T13:50:38Z" content_changed_at: "2026-09-23T13:50:38Z" content_unchanged_days: 0 observed_days: 0 --- The Future of Supply Chain Planning Series: Part 2 - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read The Future of Supply Chain Planning Series: Part 2 Smarter supply chains depend on evolving roles, connected teams, and technology-enabled decision-making. admin November 6, 2024 If you ask about the future of supply chain, the answer is likely to revolve around technology - but the most significant change is not the tools themselves-it's the shift in roles, skills, and culture that teams must undergo. As companies move towards more integrated, data-driven supply chains, the traditional role of the planner is evolving into that of a supply chain orchestrator. Systems are simply the enabler for this transformation. For teams to manage the speed and breadth required, we must challenge existing operating models and roles and understand how we can drive value more effectively with the tools we have available. The traditional supply chain planning role Historically, supply chain planners have been the backbone of operations, focused on demand forecasting, inventory management, and coordinating manufacturing schedules. Their work was largely siloed, with each function of the supply chain-sales, procurement, manufacturing, logistics-managed independently. This separation was effective when supply chains were simpler, demand was predictable, and external disruptions were minimal. However, today's supply chains are far more complex, globalized, and susceptible to disruptions, which means that this fragmented approach is no longer sufficient. To thrive in this environment, businesses must embrace end-to-end coordination and cross-functional integration-a shift that is redefining the traditional role of supply chain planners. Supply chain orchestrators and the operating model The evolution from supply chain planner to orchestrator reflects the need for a more holistic approach to managing supply chains. Orchestrators go beyond just planning for demand or managing inventory and then handing off responsibilities to the next person in the chain; they are responsible for integrating and synchronizing every aspect of the supply chain, from procurement to manufacturing to delivery. They ensure that all parts of the supply chain work together seamlessly, creating a system that is agile, efficient, and resilient. This shift is enabled by advanced technologies-such as AI, real-time data analytics, control towers and IoT-that provide orchestrators with the real-time insights and visibility needed to make informed decisions faster. However, while technology plays a vital role, it is not the limiting factor. The biggest challenges are human-centric: organizations must cultivate the right skills, foster collaboration across departments, and build a culture that embraces this new approach. The change enables and requires a rethink of the operating model design. The operating model may need to evolve several times as technical and human capability builds. Supply chain orchestrators need a broad perspective to influence the entire supply chain, but in some businesses this role will be an evolution of the end-to-end planner role; in others, it may sit above or to the side of the more traditional planning teams initially, until the full change enables much of the transactional work to disappear The human side While the technology supporting supply chain orchestration is rapidly advancing, the most significant barriers to this transformation are people capability and culture. As businesses seek to move from traditional planners to orchestrators, they must confront the need for: New skills and expertise: The orchestrator role requires a diverse set of skills that go beyond what traditional supply chain planners are used to. Orchestrators must understand cause and effect in every part of the end-to-end supply chain, be adept at data science and analysis, possess strategic thinking, and manage cross-functional teams. They need to be comfortable working with emerging technologies such as AI and machine learning, but also have the leadership skills to foster collaboration across multiple functions. Developing these capabilities requires significant investment in training and upskilling. The role of an orchestrator is more strategic and requires professionals who are not only operationally proficient but can also see the bigger picture, anticipate disruptions, and make decisions that benefit the entire supply chain ecosystem. Cross-functional collaboration: Orchestration demands planners work across multiple functions, including procurement, manufacturing, logistics, sales, and finance. Traditional silos between these departments must be broken down to ensure that all teams work towards common goals. This requires a cultural and operating model shift-departments that previously operated independently now need to integrate data, align their objectives, and collaborate in real-time. Creating a culture of collaboration is not easy. It requires leadership to actively promote open communication, trust, and shared accountability across the organisation and relies on an updated supply chain operating model. Without this cultural foundation, even the best technology and planning systems will fail to deliver the full benefits of orchestration. Strategic leadership and decision-making: Unlike traditional planners who focused on short-term, operational tasks, orchestrators must be strategic leaders. They are responsible for making high-level decisions that impact the entire supply chain, balancing efficiency, cost, sustainability, and resilience. This requires a shift in capabilities and mindset-from focusing solely on immediate concerns like manufacturing schedules or inventory levels to thinking about long-term goals such as sustainability, risk management, and customer satisfaction. Strategic decision-making is often hampered by a lack of coordination between departments or outdated mindsets that prioritize short-term gains over long-term benefits. Orchestrators must challenge this way of thinking, encouraging a more forward-looking and holistic approach to supply chain management. Technology is an enabler, not the challenge While much of the conversation around supply chain transformation focuses on technology-AI, IoT, decision intelligence, blockchain, and automation-the reality is that these tools are not the primary barriers to progress. Many of the necessary technologies already exist and are increasingly accessible to businesses of all sizes. The challenge is not in adopting these tools, but in how organisations can use them effectively. Technology enables orchestrators to gain real-time visibility into their supply chains, analyse vast amounts of data, and automate routine tasks. For example, AI can help orchestrators predict demand fluctuations, identify potential disruptions, and optimize inventory levels. IoT devices provide real-time tracking of goods as they move through the supply chain, enabling faster responses to bottlenecks or delays. However, without the right people and processes in place, these tools will not reach their full potential. The greatest obstacle to becoming a supply chain orchestrator lies in how well an organisation can integrate these technologies into its culture and operating model. Success depends on empowering people to use these tools effectively, fostering collaboration across departments, and building a strategic mindset that values long-term planning over short-term problem-solving. Conclusion: embracing the future of supply chain orchestration As the role of supply chain planners evolves into that of orchestrators, organisations must recognise that the biggest challenges lie not in the technology, but in the capabilities and culture that will support this transformation. Technology provides the tools, but people and processes drive the change. For businesses to thrive in the future of supply chain orchestration, they must invest in building the skills, fostering collaboration, and promoting strategic leadership. By focusing on these human and cultural factors, organisations can unlock the full potential of their supply chains, making them more agile, resilient, and competitive in a rapidly changing global environment. To explore how Argon & Co can support your journey from planner to orchestrator, visit our Supply Chain Planning service page and see how we can help you unlock the next level of supply chain agility and resilience. Author: Liz Howat , Practice Lead Kinaxis Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "The Hidden Competition for Chips: Five Lessons Every MedTech Executive Should Know - neos by Argon & Co" source_url: "https://neosbyargonandco.com/the-hidden-competition-for-chips-five-lessons-every-medtech-executive-should-know" page_path: "/the-hidden-competition-for-chips-five-lessons-every-medtech-executive-should-know" page_type: "generic" crawled_at: "2026-09-23T13:50:42Z" content_changed_at: "2026-09-23T13:50:42Z" content_unchanged_days: 0 observed_days: 0 --- The Hidden Competition for Chips: Five Lessons Every MedTech Executive Should Know - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read The Hidden Competition for Chips: Five Lessons Every MedTech Executive Should Know Diane Jordan August 14, 2026 Our recent fireside conversation with Christy Christian, Industry Principal for Life Sciences at Kinaxis, wasn't really about semiconductors. It was about something much larger. While semiconductor shortages continue to challenge the MedTech industry, the discussion revealed that the companies navigating disruption most successfully aren't necessarily the largest buyers. They're the organizations that have rethought how they collaborate with suppliers, make decisions, and build resilience into their supply chains. 1. You're Not Competing for Chips. You're Competing for Supplier Attention One of the most striking points discussed was the reality of MedTech's position within the semiconductor ecosystem. Medical device manufacturers represent only a small fraction of overall semiconductor demand. They aren't competing against other MedTech companies, they're competing against some of the largest technology companies in the world for supplier capacity. That changes the conversation. The question becomes less about how to buy more chips and more about how to become a customer suppliers want to prioritize. 2. Becoming a Preferred Customer Matters More Than Becoming a Bigger Customer Neither Scott nor Christy suggested that mid-sized companies can simply outspend larger competitors. Instead, Christy introduced the idea of becoming a preferred customer . Organizations that provide better forecasts, collaborate more effectively, communicate proactively, and demonstrate greater flexibility become easier for suppliers to work with. That relationship can influence supplier prioritization even when purchase volumes are relatively small. Technology supports this objective, but trust, collaboration, and transparency ultimately strengthen supplier relationships. 3. Resilience Starts During Product Design One of the more interesting discussions centered on supplier diversification. Historically, many MedTech companies have relied on single-source suppliers because regulatory approval makes qualifying multiple suppliers expensive and time-consuming. Rather than waiting until disruption occurs, Christy suggested building optionality into products from the beginning. Qualifying secondary suppliers during product development may require additional investment upfront, but it creates flexibility when supply constraints inevitably emerge. Resilience isn't something organizations add during a crisis. It's something they're designed to support. 4. Inventory Alone Can't Solve Today's Supply Chain Challenges For years, many organizations responded to uncertainty by increasing safety stock. That strategy is becoming harder to justify. Higher interest rates, expensive capital equipment, and increasing pressure on working capital mean excess inventory carries a much greater financial cost than it once did. Both Scott and Christy discussed how inventory optimization is becoming increasingly important as organizations look for alternatives to simply buffering against uncertainty. Resilience today requires smarter inventory decisions, not simply larger inventory positions. 5. Decision Speed Is Becoming the New Competitive Advantage Perhaps the most compelling takeaway from the discussion was Christy's perspective on decision latency . Traditional supply chains operate sequentially. Information moves from one function to another, decisions wait for complete data, and organizations strive for perfect certainty before acting. The challenge is that disruption rarely waits. Christy argued that organizations need to become comfortable making informed decisions with approximately 80% confidence rather than waiting for 100% certainty. Modern planning technologies can help organizations evaluate scenarios more quickly, but they only create value if people are empowered to act on the information available. In today's environment, waiting for perfect information often becomes the greatest source of inefficiency. Looking Ahead One message came through consistently during the discussion. The semiconductor challenge facing MedTech companies isn't temporary. As supply chains become more interconnected and disruptions continue to emerge, organizations will need to rethink how they collaborate with suppliers, design products, optimize inventory, and make decisions. Technology will continue to play an important role, but success will depend just as much on people, processes, governance, and organizational agility. The companies that outperform won't necessarily be those with the biggest purchasing power. They'll be the ones that become easier to work with, respond faster to change, and consistently make better decisions before their competitors do. Want to hear the full discussion? Watch the fireside chat with Scott Spyker and Christy Christian as they explore why MedTech companies are losing the race for chips and what supply chain leaders can do about it. https://vimeo.com/1213633394?share=copy&fl=sv&fe=ci Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "The Hidden Cost of Staying in the Same Planning Stage Too Long - neos by Argon & Co" source_url: "https://neosbyargonandco.com/the-hidden-cost-of-staying-in-the-same-planning-stage-too-long" page_path: "/the-hidden-cost-of-staying-in-the-same-planning-stage-too-long" page_type: "generic" crawled_at: "2026-09-23T13:50:45Z" content_changed_at: "2026-09-23T13:50:45Z" content_unchanged_days: 0 observed_days: 0 --- The Hidden Cost of Staying in the Same Planning Stage Too Long - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read The Hidden Cost of Staying in the Same Planning Stage Too Long Diane Jordan August 2, 2025 Most organizations do not intentionally neglect their planning processes. In fact, many believe their approach is working exactly as intended. Plans are created on schedule. Meetings occur as expected. Reports are delivered. From a surface level, planning appears stable and under control. But stability can be deceptive. The real issue is rarely that planning is failing. It is that planning has quietly stopped evolving alongside the business. What once supported decision-making effectively can, over time, begin to limit it. The cost of that stagnation does not appear suddenly or dramatically. Instead, it accumulates slowly, often unnoticed, until the organization finds itself constrained by the very processes it once relied on. When Familiarity Replaces Effectiveness Every planning model is built for a specific moment in a company's journey. Early-stage planning brings much-needed structure. It introduces discipline, visibility, and consistency where little existed before. For a period of time, that structure delivers meaningful value and helps the organization operate with greater confidence. The challenge begins when the business continues to change but the planning model does not. As organizations grow, complexity increases in subtle ways. Product portfolios expand. Customer expectations diversify. Supply networks stretch across regions. Decision timelines compress. Yet planning often remains anchored to the same cadence, assumptions, and tools that were designed for a simpler environment. Because the process still produces outputs, it is easy to assume it is still effective. Over time, however, planners spend more energy managing the process than improving decisions. Workarounds become routine. Manual adjustments increase. The planning cycle becomes something to survive rather than something that enables insight. The Cost Rarely Appears Where Leaders Expect It One of the most challenging aspects of stalled planning maturity is that its cost is difficult to measure directly. There is no single metric that captures lost agility or missed opportunity. Financial results may remain acceptable, masking the underlying strain building within the organization. Instead, the cost appears indirectly. Opportunities are delayed because scenarios take too long to evaluate. Inventory increases because risk cannot be assessed quickly. Service trade-offs are made reactively rather than intentionally. Leadership spends more time debating assumptions than making decisions. None of these outcomes individually trigger alarm. Together, they quietly erode performance. Because the impact is gradual, it becomes normalized. Teams adjust expectations. Leaders accept longer timelines. The organization adapts around the limitations rather than addressing them. The Human Impact Often Comes First Long before performance metrics reveal a problem, people begin to feel it. Planners shift from being analysts and advisors to being coordinators and firefighters. Their time is consumed by reconciling data, managing exceptions, and explaining why the plan changed again. Meetings become more focused on defending numbers than exploring options. Confidence in the plan weakens, not due to lack of capability, but because the process can no longer keep pace with reality. As pressure increases, organizations often lean heavily on a few experienced individuals who understand the system's nuances and know how to "make it work." While this institutional knowledge can keep operations moving, it also introduces risk. Knowledge becomes siloed. Burnout increases. Planning resilience declines. The organization becomes dependent on people compensating for process limitations. Growth Has a Way of Exposing the Gap Many companies remain in the same planning stage until growth forces the issue. A new market introduces unfamiliar volatility. A merger increases complexity. Customer expectations accelerate. Leadership begins asking questions that the planning model cannot answer quickly or confidently. At that point, planning is no longer merely supporting the business. It becomes a constraint on decision-making. What once felt manageable now feels fragile. The gap between what leaders need to know and what planning can provide becomes increasingly visible. This moment often creates urgency, not because planning suddenly failed, but because the business outgrew it. Progress Does Not Require a Leap Advancing planning maturity does not mean rebuilding everything at once. The most effective organizations focus first on improving how decisions are supported. They look for ways to shorten feedback loops, improve visibility across functions, and connect planning conversations more directly to business outcomes. Even incremental improvements can have meaningful impact. When teams gain faster insight, confidence improves. When assumptions are shared, alignment strengthens. When scenarios can be evaluated earlier, decisions become intentional rather than reactive. Planning begins to shift from an administrative requirement to a strategic capability. The Real Cost of Standing Still The greatest risk is not choosing the wrong planning approach. It is allowing planning maturity to remain static while the business continues to evolve. When planning does not progress, the organization pays through slower decisions, increased operational risk, reduced agility, and mounting strain on its people. These costs do not appear all at once, but they compound quietly over time. Organizations that continue to evolve their planning capabilities position themselves to respond with confidence as complexity grows. Because in today's environment, standing still is rarely neutral. It is a cost. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Thriving in Real-Time: How Growing Companies Shine in Demand Planning - neos by Argon & Co" source_url: "https://neosbyargonandco.com/thriving-in-real-time-how-growing-companies-shine-in-demand-planning" page_path: "/thriving-in-real-time-how-growing-companies-shine-in-demand-planning" page_type: "generic" crawled_at: "2026-09-23T13:50:49Z" content_changed_at: "2026-09-23T13:50:49Z" content_unchanged_days: 0 observed_days: 0 --- Thriving in Real-Time: How Growing Companies Shine in Demand Planning - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Thriving in Real-Time: How Growing Companies Shine in Demand Planning Embracing a Dynamic Forecasting Approach Diane Jordan July 28, 2026 Growing companies know the value of a dynamic forecasting approach in demand planning. Instead of relying on static forecasts based on historical data, they understand that the business landscape is always changing. By using a dynamic approach, they can adapt to market fluctuations and adjust their strategies in real time. This flexibility keeps them ahead of their competition and meets the ever-changing demands of their customers. A dynamic forecasting approach allows quick responses to unexpected events or market changes. For example, if a new competitor enters the market or there is a sudden spike in demand for a product, a company with a dynamic approach can quickly adjust its forecasts and allocate resources. This agility gives them a competitive edge and helps optimize inventory levels, production schedules, and procurement strategies. To embrace a dynamic forecasting approach, growing companies use advanced demand planning software and tools. These tools help them gather real-time data from various sources, such as sales data, customer feedback, market trends, and external factors like weather conditions or economic indicators. By analyzing this data in real time, these companies can identify patterns, trends, and potential risks that may affect their demand planning. This helps them make informed decisions and take proactive measures to optimize their supply chain and meet customer demand. Additionally, growing companies prioritize collaboration and communication across departments. By involving stakeholders from sales, marketing, operations, and finance in the demand planning process, they ensure that their forecasts align with overall business goals and strategies. This cross-functional collaboration not only improves the accuracy of forecasts but also enables smooth execution of demand planning strategies. In conclusion, embracing a dynamic forecasting approach is crucial for growing companies. By using advanced technology, leveraging real-time data, and fostering cross-department collaboration, these companies can adapt to market changes, optimize their supply chain, and meet customer demand. This enables them to surpass their competition and thrive in today's fast-paced business environment. Utilizing Advanced Technology for Real-Time Insights Growing companies understand the value of using advanced technology for real-time insights in demand planning. In today's digital era, where data is abundant and constantly changing, relying on manual processes or outdated systems can put a company at a disadvantage. By leveraging advanced technology, these companies can gather, analyze, and interpret real-time data to gain valuable insights into customer demand, market trends, and supply chain dynamics. One key benefit of using advanced technology is the ability to gather and integrate data from various sources. Growing companies use advanced demand planning software that collects data from sales platforms, customer relationship management systems, inventory management systems, and other relevant sources. By integrating this data, these companies create a comprehensive view of their demand patterns, customer behavior, and market dynamics. This enables them to make data-driven decisions and develop demand planning strategies tailored to their business needs. Advanced technology also enables real-time data analysis and visualization. Growing companies use advanced analytics tools that process large volumes of data and generate actionable insights in real time. These insights help them identify trends, patterns, and anomalies that may affect their demand planning. For example, by analyzing sales data in real time, a company can spot a sudden increase in demand for a particular product and adjust its production and procurement strategies accordingly. This proactive approach helps optimize inventory levels, reduce stockouts, and improve customer satisfaction. Furthermore, using advanced technology enhances collaboration and communication across departments. By implementing cloud-based demand planning software, growing companies provide real-time access to relevant data and analytics to stakeholders from sales, marketing, operations, and finance. This facilitates cross-functional collaboration and enables smooth execution of demand planning strategies. For example, by providing sales teams with real-time insights into customer demand trends, they can align their sales and marketing efforts to drive customer engagement and increase sales. In conclusion, using advanced technology for real-time insights is key for growing companies. By gathering and integrating data from multiple sources, analyzing it in real time, and visualizing actionable insights, these companies can make informed decisions and develop strategies optimized for their specific business needs. Additionally, advanced technology fosters collaboration and communication across departments, ensuring seamless execution of demand planning strategies. Implementing Agile Supply Chain Strategies Growing companies recognize the importance of implementing agile supply chain strategies in demand planning. In today's fast-paced business environment, where customer expectations are constantly evolving and market dynamics are unpredictable, a rigid and inflexible supply chain can hinder a company's ability to meet customer demand and stay competitive. By implementing agile supply chain strategies, these companies can respond quickly to changing market conditions, optimize inventory levels, and improve overall supply chain efficiency. One key principle of agile supply chain strategies is the ability to quickly adapt to changes in customer demand. Growing companies understand that customer demand can fluctuate due to various factors, such as seasonal trends, promotional activities, or sudden shifts in market preferences. By implementing agile supply chain strategies, these companies can sense changes in customer demand in real time and respond quickly by adjusting their production, procurement, and distribution plans. This allows them to minimize stockouts, reduce excess inventory, and improve customer satisfaction. To implement agile supply chain strategies successfully, growing companies use advanced supply chain management software and tools. These tools help them gather real-time data from various sources, such as sales data, customer feedback, and market trends. By analyzing this data, these companies can identify patterns, trends, and potential risks that may affect their supply chain. Additionally, companies are able to run "what if" scenarios quickly to evaluate different courses of action. This helps them make informed decisions and take proactive measures to optimize their supply chain operations. In addition to leveraging technology, implementing agile supply chain strategies also requires collaboration and communication across departments. Growing companies involve stakeholders from sales, marketing, operations, and finance in the demand planning process to ensure that their strategies align with overall business goals. This cross-functional collaboration enables smooth execution of supply chain strategies and ensures that the company can respond quickly to changes in customer demand. In conclusion, implementing agile supply chain strategies is crucial for growing companies. By quickly adapting to changes in customer demand, optimizing inventory levels, and leveraging advanced technology, these companies can improve supply chain efficiency and meet customer expectations. Additionally, collaboration and communication across departments ensure seamless execution of supply chain strategies, enabling the company to stay competitive and thrive in today's dynamic business environment. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Top Questions to Ask Before Choosing a Planning Solution - neos by Argon & Co" source_url: "https://neosbyargonandco.com/top-questions-to-ask-before-choosing-a-planning-solution" page_path: "/top-questions-to-ask-before-choosing-a-planning-solution" page_type: "generic" crawled_at: "2026-09-23T13:50:52Z" content_changed_at: "2026-09-23T13:50:52Z" content_unchanged_days: 0 observed_days: 0 --- Top Questions to Ask Before Choosing a Planning Solution - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Top Questions to Ask Before Choosing a Planning Solution A Mid-Market Leader's Guide to Making a Smart, Scalable Planning Investment Diane Jordan November 17, 2025 Choosing a supply chain planning solution can feel like navigating a maze. Dozens of tools, dozens of promises-few designed with your business in mind. Mid-sized companies don't need bloated enterprise platforms or barebones bolt-ons. They need a solution that fits now, grows later, and actually gets used by planners-not just licensed by IT. Here are 9 critical questions every mid-market business should ask before making your planning software decision-and how the right answers lead to faster ROI, stronger adoption, and long-term success. 1. Does it solve the problem we have today -not just in theory? Many tools are overbuilt or too narrowly focused. Look for: Alignment with current needs like inventory optimization or demand collaboration Quick time to value (typically 3 - 4 months for a targeted use case) Crawl-walk-run delivery that avoids overwhelming your team 2. How fast can we implement and start seeing value? You don't have a year to wait. Ask about: Time to go live for a pilot or targeted scope Internal lift required from your team Real-world examples of companies seeing ROI Gartner: Modular deployments deliver 2-3x faster ROI for mid-market firms (2023). 3. Does it support scenario modeling and proactive decision-making? Look for: What-if simulation capabilities Support for constrained planning (lead times, capacity, supply limits) Alerts, exceptions, and real-time decision tools Tools that help you plan before reacting 4. Can it scale with us as we grow? Make sure the tool: Supports modular expansion (S&OP, MEIO, finance alignment) Allows user, SKU, and network expansion without reimplementation Doesn't lock you into enterprise pricing or functionality before you need it 5. Will our planners actually use it? A sleek demo means nothing if your team won't adopt it. Ask about: User experience and training curve Ability to build and share scenarios without coding Tools made for planners-not just IT or data teams 6. Do the implementation and support teams understand our business ? Look for: Partners with supply chain and industry-specific expertise Real-world success stories in your size/sector Change management and user training support post-go-live A successful implementation is 50% platform, 50% partner. 7. Is the pricing model transparent and right-sized? Avoid surprise fees. Ask about: Licensing by user, site, function, or data volume Integration, support, or training fees Flexibility to scale cost as usage grows 8. Will it help us move from reactive to proactive planning? Look for: Real-time alerts and visibility into future risks Machine learning or AI forecasting enhancements Planning workflows that support decision-making-not just data review 9. Can we speak with companies like us who have implemented it? Request: References from similar-sized businesses Stories of crawl-walk-run success Candid feedback about what worked-and what didn't Bonus Question: Is this solution setting us up for the future of planning? In the next decade, Agentic AI and autonomous planning agents will change how supply chains operate-replacing rules-based workflows with human-like reasoning and proactive decision-making. To prepare, your planning foundation must be: Unified across departments Built on clean, real-time data Capable of scenario modeling and collaboration Flexible and extensible to support AI integrations down the road You can't bolt future-ready AI onto outdated tools. The future belongs to companies that start building the right foundation now. Final Takeaway The best planning solution is the one that delivers value fast, grows with you, empowers your team-and sets you up for what's next. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Transform Your Organization's Supply Chain with Scott Sheldon's Team of Experts - neos by Argon & Co" source_url: "https://neosbyargonandco.com/transform-your-organizations-supply-chain-with-scott-sheldons-team-of-experts" page_path: "/transform-your-organizations-supply-chain-with-scott-sheldons-team-of-experts" page_type: "generic" crawled_at: "2026-09-23T13:50:56Z" content_changed_at: "2026-09-23T13:50:56Z" content_unchanged_days: 0 observed_days: 0 --- Transform Your Organization's Supply Chain with Scott Sheldon's Team of Experts - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Transform Your Organization's Supply Chain with Scott Sheldon's Team of Experts Scott Sheldon is now neos by Argon & Co. Diane Jordan August 3, 2026 Understanding Organizational Transformation Organizational transformation is the process of making significant changes to the structure, culture, and operations of an organization. It involves reevaluating and redefining the way the organization functions in order to adapt to new challenges and opportunities. Scott Sheldon LLC understands the complexities involved in organizational transformation and can help your company navigate through this process. With our expertise and experience, we can provide valuable insights and strategies to ensure a successful transformation journey. Identifying Key Areas for Change Before embarking on an organizational transformation, it is crucial to identify the key areas that require change. This involves analyzing the current state of the organization, assessing its strengths and weaknesses, and determining the areas that need improvement. Scott Sheldon's team of experts can assist you in identifying these key areas for change throughout your supply chain. Through a comprehensive analysis of your organization, we can pinpoint the specific areas that need attention and develop tailored strategies to address them effectively. Developing a Transformation Strategy A successful organizational transformation requires a well-defined strategy. This involves setting clear goals and objectives, outlining the steps to be taken, and establishing a timeline for implementation. With Scott Sheldon, you can benefit from our expertise in developing transformation strategies. Our team of experts will work closely with you to create a customized plan that aligns with your organization's goals and objectives. We will guide you through each step of the transformation process, ensuring a smooth and successful transition. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Transport Route Planning: Work Smarter, Not Harder - neos by Argon & Co" source_url: "https://neosbyargonandco.com/transport-route-planning" page_path: "/transport-route-planning" page_type: "generic" crawled_at: "2026-09-23T13:50:59Z" content_changed_at: "2026-09-23T13:50:59Z" content_unchanged_days: 0 observed_days: 0 --- Transport Route Planning: Work Smarter, Not Harder - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Transport Route Planning: Work Smarter, Not Harder Reduce costs, improve efficiency, and deliver smarter with optimized transport planning. admin August 30, 2024 Eliminate the stress of manual transport routing, slash transport costs, boost operational efficiency, enhance traceability and visibility. Easier said than done? Not anymore. If you manage or influence customer deliveries, if you haven't done so, implementing optimised transport route planning is a game-changer for your bottom line. Why? 1. Maximizes utilization : Optimise routes to fully utilize vehicles and drivers. 2. Cut costs : Minimise distance and travel time, lowering cost per order. 3. Handle peaks : Efficiently manage seasonal surges like Christmas peaks. 4. Enhances customer experience : Provide traceability to improve reporting. How? 1. Automate planning : Reduce planning time with automated route planning. 2. Focus on utilisation : Deliver more with the same resources. 3. Increase customer satisfaction : Provide accurate delivery promises to customers. To reduce overall transport costs you need to: 1. Maximse utilisation and allocation of the vehicle fleet 2. Align and optimise both loading/unloading and driver time allocation 3. Improve transport process efficiency by aligning warehouse, transport and customer 4. Implement a system that reduces the overall planning time Key factors to consider in transport planning: * Operating start and end times - include warehouse and transport * Pick-up and delivery locations - include dock schedules * Customer delivery windows vs customer opening times * Delivery location constraints - include vehicle size, height restriction, unloading capacity * Vehicle capacity based on product type, include axle-load balancing * Vehicle availabilities - include maintenance * Driver schedules and breaks - include hours worked and pending leave * Road network conditions - include closures and roadworks Manual transport planning and carrier allocation takes time and increases errors, often relying on a "looks right" approach. Route planning solutions eliminate these issues and automates the process.This automation will reduce the overall processing time that often allows a significant step-change to the operations such as bringing forward loading and despatch time availability. And with an automated plan, easily extend to include: * Automated carrier allocation * Driver checklists * Delivery tracking * Proof-of-delivery apps * Real-time visibility and reporting * Full integration with your core business systems. As market demand for faster and consistent deliveries grows, reducing delivery costs through improved efficiency is crucial. Transport planning and optimization technologies are strategic investments for a more efficient and profitable future. These solutions are flexible and scalable, allowing you to start small and expand as needed. In today's high tech world there are now many robust, proven solutions in the market that offer various operational functional specialities to suit your requirements. If you are looking and need assistance, Argon & Co has the expertise to assist your business in undertaking a review, selection and implementation and would be happy to help you on your journey. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Turning Tariff Uncertainty into Strategic Advantage: Insights from our recent webinar - neos by Argon & Co" source_url: "https://neosbyargonandco.com/turning-tariff-uncertainty-into-strategic-advantage" page_path: "/turning-tariff-uncertainty-into-strategic-advantage" page_type: "generic" crawled_at: "2026-09-23T13:51:03Z" content_changed_at: "2026-09-23T13:51:03Z" content_unchanged_days: 0 observed_days: 0 --- Turning Tariff Uncertainty into Strategic Advantage: Insights from our recent webinar - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Turning Tariff Uncertainty into Strategic Advantage: Insights from our recent webinar Collaboration and scenario planning turn supply chain uncertainty into opportunity. admin March 7, 2025 In a world where shifting trade relations, rising costs, and the push towards nearshoring are redefining supply chains, businesses are constantly seeking ways to turn uncertainties into strategic advantages. Argon & Co, in collaboration with Kinaxis, recently hosted a webinar titled "Turning Tariff Uncertainty into Strategic Advantage," aimed at equipping supply chain professionals with the insights needed to navigate today's dynamic trade environment. Current Trends and Market Dynamics The webinar commenced with Liz Howat, Associate Partner, providing a contextual backdrop on the current state of supply chain disruptions, particularly focusing on tariffs and geopolitical tensions. The conversation underscored the significance of understanding the volatile market landscape, marked by recent tariff policies and global conflicts impacting trade flows across regions. Joe Coote, Advisor at Argon & Co and experienced CEO and board director, elaborated on the acronym VUCA - Volatility, Uncertainty, Complexity, and Ambiguity - as an apt descriptor of the current business climate. He highlighted how post-covid challenges, coupled with geopolitical events such as the Middle Eastern conflicts and recent tariff impositions by the US, have exacerbated supply chain uncertainties. These developments necessitate proactive strategies to mitigate risks and leverage opportunities. Strategic Insights and Methodologies Michael Krasnor, Senior Business Consultant at Kinaxis, shared valuable insights into how businesses can navigate these challenges. Emphasising the importance of collaboration at all levels, internally and with external partners. Maintaining positive relationships with suppliers and customers is crucial during chaotic times, as short-term decisions must align with long-term strategic goals. One of the key takeaways was the utilisation of scenario modelling tools which provides real-time data to make rapid decisions. Michael demonstrated how businesses might employ these tools to test various scenarios, such as entering new markets or adjusting manufacturing priorities, thereby transforming uncertainty into actionable business strategies. Turning Challenges into Opportunities The consensus was clear: transparency, engagement, and collaborative negotiation are paramount in maintaining strong customer relationships while managing tariff-driven price changes. The webinar reiterated the need for businesses to stay agile and informed, using advanced digital tools to turn uncertainty into strategic advantage. In a rapidly evolving landscape, the ability to adapt and leverage real-time insights will be critical to achieving sustained growth and competitiveness. If you missed the session, a recording of the session is available here . Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Understanding Probabilistic Multi-Echelon Inventory Optimization (MEIO) - neos by Argon & Co" source_url: "https://neosbyargonandco.com/understanding-probabilistic-multi-echelon-inventory-optimization-meio" page_path: "/understanding-probabilistic-multi-echelon-inventory-optimization-meio" page_type: "generic" crawled_at: "2026-09-23T13:51:06Z" content_changed_at: "2026-09-23T13:51:06Z" content_unchanged_days: 0 observed_days: 0 --- Understanding Probabilistic Multi-Echelon Inventory Optimization (MEIO) - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Understanding Probabilistic Multi-Echelon Inventory Optimization (MEIO) Diane Jordan July 30, 2026 In today's fast-paced and complex supply chain environment, companies are constantly seeking ways to improve efficiency, reduce costs, and enhance service levels. One of the most advanced approaches to achieving these goals is through Probabilistic Multi-Echelon Inventory Optimization (MEIO). This method combines sophisticated mathematical models with real-world data to optimize inventory levels across multiple stages of the supply chain. What is Multi-Echelon Inventory Optimization (MEIO)? Multi-Echelon Inventory Optimization (MEIO) is a strategy used to manage inventory across different levels or "echelons" of the supply chain. These echelons can include suppliers, manufacturers, warehouses, distribution centers, and retail outlets. Traditional inventory optimization often focuses on individual stages in isolation, but MEIO considers the entire supply chain as an interconnected system. This holistic approach ensures that inventory is optimized not just locally but globally, leading to significant improvements in overall supply chain performance. The Role of Probabilistic Models in MEIO Probabilistic MEIO incorporates uncertainty and variability into the optimization process. Unlike deterministic models that assume fixed demand and lead times, probabilistic models acknowledge that these factors can fluctuate. By using probability distributions to represent demand and supply variability, these models provide more realistic and robust solutions. Key elements of probabilistic MEIO include: Demand Forecasting: Using statistical techniques and historical data to predict future demand while accounting for variability and uncertainty. Lead Time Variability: Recognizing that lead times can fluctuate due to various factors such as supplier performance, transportation delays, and production issues. Service Level Targets: Setting service level targets that reflect the desired balance between inventory costs and customer satisfaction. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Unleashing Growth: The Benefits of Demand Planning Software for Mid-Sized Companies - neos by Argon & Co" source_url: "https://neosbyargonandco.com/unleashing-growth-the-benefits-of-demand-planning-software-for-mid-sized-companies" page_path: "/unleashing-growth-the-benefits-of-demand-planning-software-for-mid-sized-companies" page_type: "generic" crawled_at: "2026-09-23T13:51:09Z" content_changed_at: "2026-09-23T13:51:09Z" content_unchanged_days: 0 observed_days: 0 --- Unleashing Growth: The Benefits of Demand Planning Software for Mid-Sized Companies - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Unleashing Growth: The Benefits of Demand Planning Software for Mid-Sized Companies Understanding Demand Planning Software Diane Jordan July 24, 2026 Demand planning software is a powerful tool that helps businesses analyze and predict customer demand for their products or services. By utilizing advanced algorithms and data analysis techniques, this software enables businesses to gain a deeper understanding of their customers' needs and preferences. With demand planning software, businesses can identify trends and patterns in customer demand, allowing them to make more accurate forecasts. This helps in planning production schedules, managing inventory, and optimizing the supply chain. Furthermore, demand planning software provides insights into factors that influence demand, such as market conditions, competitor activities, and customer behavior. This information can be used to make informed business decisions and develop effective strategies for growth. Enhanced Forecasting Accuracy One of the key benefits of demand planning software is its ability to enhance forecasting accuracy. By analyzing historical data, market trends, and other relevant factors, this software can generate more accurate forecasts of customer demand. Accurate forecasting helps businesses optimize their production schedules and buying patterns, ensuring that they have the right amount of inventory at the right time. This minimizes the risk of stockouts and overstocking, leading to improved customer satisfaction and cost savings. In addition, enhanced forecasting accuracy enables businesses to identify demand fluctuations and adjust their strategies accordingly. This agility allows them to respond quickly to market changes and capitalize on new opportunities. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Using Microsoft Dynamics 365 Business Central? - neos by Argon & Co" source_url: "https://neosbyargonandco.com/using-microsoft-dynamics-365-business-central" page_path: "/using-microsoft-dynamics-365-business-central" page_type: "generic" crawled_at: "2026-09-23T13:51:13Z" content_changed_at: "2026-09-23T13:51:13Z" content_unchanged_days: 0 observed_days: 0 --- Using Microsoft Dynamics 365 Business Central? - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Using Microsoft Dynamics 365 Business Central? Here's How to Add the Planning Power You're Missing Diane Jordan April 5, 2026 Microsoft Dynamics 365 Business Central is the ERP of choice for many mid-sized and fast-growing companies. It's intuitive, flexible, and well-suited to managing core business functions like finance, inventory, and order processing. But as your business scales-more SKUs, more suppliers, more complexity-you might notice something: the decisions are getting harder. The spreadsheets are multiplying. The gaps between functions are widening. Forecasts don't align with execution. And teams are working harder just to stay reactive. Here's why: Business Central was never built to be a planning platform. Why Business Central Falls Short for Supply Chain Planning ERPs like Business Central are designed to record what's already happened -not to plan what's next. While BC provides some basic tools like reorder point logic, material requirements planning (MRP), and availability reports, those features break down when: Forecasting must account for seasonality, promotions, or product lifecycles Inventory must be optimized across multiple locations or channels Demand and supply must be balanced across real-world constraints like labor, transportation, and lead times Your organization needs to simulate multiple "what-if" scenarios before committing to a path forward Many companies try to solve this with: Custom reports or Power BI dashboards Manual Excel files for forecasting or capacity balancing Bolt-on apps that optimize a single area, like inventory But this patchwork leads to siloed data, manual effort, and decisions made on lagging or incomplete information. Planning becomes reactive, and agility is lost just when you need it most. The Inflection Point-When Mid-Market Companies Outgrow Native Tools Most companies don't realize they've outgrown their ERP's planning capabilities until it's already impacting performance: Stockouts despite plenty of inventory Sales forecasts misaligned with production realities Over-investment in safety stock just to maintain service levels Re-planning every time something changes (which is... often) If your planning process involves more time consolidating data than analyzing it , you've hit the tipping point. This isn't an ERP problem-it's a planning problem. And it's a signal that you've outgrown the reactive model and need a more mature, forward-looking planning layer. Extend Business Central-Don't Replace It The good news? You don't need a full ERP replacement or a bloated enterprise planning suite. Platforms like ketteQ and Kinaxis Planning One are designed to work alongside Business Central, not against it. They offer: Demand planning based on real signals-not static forecasts Inventory optimization across networks, not just individual warehouses Finite capacity planning that understands real-world constraints Scenario simulation that lets you test trade-offs before making a move It's seamless, scalable, and designed for mid-market companies that need more power-without more complexity. What Happens When You Don't Make the Shift Delaying the move to advanced planning doesn't mean staying stable-it means falling behind. Common consequences include: Loss of margin due to over- or under-buying inventory Lower service levels as teams scramble to react to misalignment Missed opportunities because the business can't model new initiatives fast enough Burnout in planning teams constantly patching data together manually According to Gartner, companies that operate with disconnected planning environments see up to 25% lower forecast accuracy and 20-30% higher inventory carrying costs . The Right Planning Layer for Microsoft Users Your ERP is not the enemy-it's the foundation. But to lead with agility and scale effectively, you need to pair it with the right planning layer. The ideal planning solution: Works natively with Microsoft architecture Doesn't require a multi-year transformation Is designed to deliver immediate value through better decisions Enables planning that's real-time, collaborative, and scenario-driven You've Built a Solid Core-Now Add the Intelligence to Scale It Dynamics 365 Business Central helps you run a connected, modern business. But for planning to truly drive growth, you need more than reporting-you need real decision support. At Scott Sheldon, we help mid-market companies extend Business Central with scalable, right-sized planning solutions that close the gap between strategy and execution. If you're hitting the limits of planning in MD365, it's not a sign of failure-it's a sign you're ready for what's next. Let's talk about what that looks like. Sources: Gartner, "Avoiding the Planning Technology Trap," 2023 Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? Hide Toolbar Duration Only for this session 24 hours A Week Not Now Hide Toolbar Select your accessibility profile Vision Impaired Mode Enhances website's visuals Seizure Safe Profile Clear flashes & reduces colour ADHD Friendly Mode Focused browsing, distraction-free Blindness Mode Reduces distractions, improves focus Epilepsy Safe Mode Dims colours and stops blinking Content Modules Font Size + Default - Readable Font Line Height + Default - Cursor Letter Spacing Align Text Font Weight Colour Modules Light Contrast High Contrast Monochrome Orientation Modules Reading Line Reading Mask Hide Images Highlight Content Stop Animations Highlight Links Skip To Content Choose... Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "What Intelligent Network Operations Actually Means" source_url: "https://neosbyargonandco.com/what-intelligent-network-operations-means" page_path: "/what-intelligent-network-operations-means" page_type: "generic" crawled_at: "2026-09-23T13:51:16Z" content_changed_at: "2026-09-23T13:51:16Z" content_unchanged_days: 0 observed_days: 0 --- What Intelligent Network Operations Actually Means Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read What Intelligent Network Operations Actually Means How shared context, specialized systems and governed AI turn supply chain signals into coordinated decisions and action. Diane Jordan September 8, 2026 Supply chains have become highly instrumented. Planning systems create forecasts and supply plans. Manufacturing systems track production. Warehouse and transportation platforms manage the movement of inventory. Suppliers, customers and external data providers contribute additional signals about changing conditions. Yet most organizations still rely on people to determine when those signals matter beyond the system or function where they originated. A transportation team may know that a material shipment will arrive late. Production planners may not understand the effect until the shortage appears in their planning horizon. Customer service may discover the consequence only when an order is placed at risk. Each function can see part of the problem, but no single function continuously interprets what the change means for the broader supply chain. Intelligent Network Operations addresses that gap. It provides a common capability to sense change, understand which decisions may be affected and coordinate an appropriate response across the relevant parts of the supply chain. It is not a single application controlling every operation. It is an operating layer that allows people, specialized systems, analytical models and AI agents to participate in decisions with shared context and clear accountability. From an Orchestrated Supply Network to Intelligent Network Operations The Orchestrated Supply Network describes an enterprise in which distributed decisions are informed by their expected effects on the broader network. Functions retain the expertise and authority required to act, but their decisions remain coherent with enterprise objectives and with the choices being made elsewhere. Intelligent Network Operations is the operating capability that helps make this model practical. It provides the mechanisms to sense when conditions have changed, determine which decisions and objectives may be affected, bring together context from the relevant networks and coordinate an appropriate response. Decision Intelligence supports the reasoning within that process by evaluating consequences, alternatives and tradeoffs. The concepts therefore describe different parts of the same evolution. The Orchestrated Supply Network is the operating model the organization is working toward. Intelligent Network Operations is how the organization begins to sense, decide, act and learn across the specialized networks that comprise it. This connection is important because orchestration is broader than exception management. An organization must respond to immediate disruptions, but it must also recognize gradual changes in demand, cost, product mix, capacity and market importance that can cause the network to drift away from the configuration best suited to its objectives. Move beyond visibility Visibility is an essential input to Intelligent Network Operations, but it is not the outcome. A visibility platform can report that a shipment is delayed, a production line has lost capacity or demand has moved outside the forecast range. Intelligent Network Operations asks the questions that follow: Which commitments are affected? How much time is available to respond? Which functions need to participate? What alternatives are feasible? Who owns the decision? What actions are permitted? Did the response produce the expected result? Answering these questions requires more than an alert. The original signal must be related to products, locations, resources, orders, customers and policies. The system must distinguish between a condition that should be monitored and one that requires an immediate decision. This is the difference between seeing the network and operating it intelligently. Visibility describes what is happening. Intelligent Network Operations interprets what the change means and organizes the path from signal to response. Create an operating layer across specialized systems Supply chains depend on systems with deep, specialized capabilities. Advanced planning systems evaluate demand, supply and capacity. Manufacturing systems control production activity. Warehouse and transportation platforms manage execution within their respective domains. Optimization and simulation tools calculate alternatives that would be difficult to evaluate manually. Intelligent Network Operations does not attempt to reproduce or replace those capabilities. Instead, an intelligence layer allows those systems to contribute to a decision when their information or analytical services are required. It creates shared context across the relevant entities, invokes the appropriate tools and routes the decision according to its consequence and urgency. Consider a supplier message indicating that a critical material will arrive five days late. The transportation system may contain the shipment status. The planning system may understand material requirements and alternate supply. Manufacturing systems may contain current production conditions. Inventory systems can identify available stock in other locations, while customer information reveals which commitments depend on the affected production. No individual system contains the complete answer. Intelligent Network Operations assembles the context required to evaluate the problem without transferring control away from the systems responsible for each part of the operation. The result is not one central system making every decision. It is a coordinated operating capability that knows where information and expertise reside and how to bring them into the decision. Organize around consequential decisions Traditional integration typically begins with systems and data flows. Intelligent Network Operations begins with decisions. The organization first identifies an operational choice that has meaningful consequences. It then determines what signals could place that decision at risk, which entities and dependencies provide context, what forms of analysis are required and who has authority to act. This decision orientation keeps the intelligence layer tied to business value. For example, detecting a production constraint is not valuable simply because the signal arrives quickly. Value is created when the organization can determine which orders and customers are affected, evaluate feasible responses and select an action that balances service, cost, inventory and operational risk. Some of the required analysis may be deterministic. Available inventory can be retrieved from an authoritative system. Production alternatives may be calculated through planning or optimization. Policies can establish which customers or products receive priority. AI can interpret an unstructured supplier message, gather relevant evidence and explain the tradeoffs to the decision owner. Each capability contributes what it does best. Intelligent Network Operations coordinates those contributions around the decision rather than treating AI as a substitute for established operational methods. Combine sensing, decisions, action and learning Intelligent Network Operations operates as a continuous loop. Sensing identifies a change and relates it to the decisions that may be affected. Deciding brings together context, analytical methods, policies and human judgment. Acting translates the approved response into the appropriate operational system or workflow. Learning compares the expected outcome with what actually happened. The loop matters because supply chain conditions continue to change after a recommendation is made. An alternate production plan may be feasible when it is approved, but a new capacity issue may emerge during execution. Transportation availability may change. A customer may revise an order. Intelligent Network Operations maintains the relationship between the original decision, its assumptions, the selected action and the conditions that follow. This traceability also supports improvement. The organization can examine how quickly a condition was understood, whether the right participants were engaged, why a recommendation was accepted or rejected and whether the action produced the intended result. Over time, that evidence can improve thresholds, policies, analytical models and agent behavior. Learning becomes an institutional capability rather than knowledge held only by the people who managed the last disruption. Give AI a defined operational role AI can strengthen every stage of this loop, but intelligence does not come from adding an agent to each system. An AI agent is most useful when it has a defined responsibility. One agent may monitor for combinations of conditions that threaten a production commitment. Another may investigate likely causes. A scenario agent may request alternatives from planning and optimization services. An execution agent may carry out an approved, reversible action within a defined boundary. These roles require access to shared operational context. They also require clear limits. An agent should know which information it can retrieve, which tools it can invoke and when a person must make the decision. Recommendations should identify the underlying evidence and assumptions. Actions should be recorded and linked to the authorization that permitted them. This discipline allows AI to extend the reach and responsiveness of operating teams without obscuring accountability. The objective is not to remove people from every decision. It is to direct their judgment toward the decisions where it adds the most value. Preserve human and functional accountability Supply chain decisions frequently involve tradeoffs that cannot be resolved through speed or mathematical precision alone. Protecting a strategic customer may increase transportation cost. Moving inventory to one region may create exposure in another. Changing the production sequence may improve service while reducing efficiency. These choices reflect commercial priorities, risk tolerance and commitments that must remain visible to the people accountable for the outcome. Intelligent Network Operations should therefore make decision rights explicit. Low-risk and reversible actions may proceed through approved rules. Higher-consequence decisions should be routed to the appropriate owner with the relevant context already assembled. The system should show what changed, which objectives are at risk, what alternatives were evaluated and how much time remains to respond. Human oversight is not a limitation of the model. It is part of its design. The purpose of intelligence is to improve the quality, consistency and speed of decisions, not to automate responsibility away. Operate as a network of networks Planning, manufacturing, warehousing and transportation are often discussed as parts of one supply chain. Operationally, however, each functions as a network with its own entities, systems, constraints and decisions. Those networks need to retain their depth. A manufacturing network must understand resources, bills of material, production sequences and plant constraints. A transportation network must understand loads, lanes, carriers and service windows. Neither should be reduced to a simplified enterprise model. The challenge is recognizing when a condition or decision in one network matters elsewhere. Intelligent Network Operations provides the connective tissue. It allows a manufacturing constraint to be evaluated against inventory and transportation consequences. It allows a demand change to be understood in relation to production, supplier and distribution capabilities. Each network contributes relevant intelligence without surrendering its authority or specialized logic. The supply chain can then operate as a network of networks: specialized where depth is required, coordinated where consequences cross boundaries. Build an operating capability, not another dashboard The value of Intelligent Network Operations is not measured by the number of data sources, alerts, models or agents it contains. It should be measured by how effectively the organization handles consequential decisions. Did the team recognize the issue sooner? Was the signal interpreted in the correct context? Were the appropriate alternatives evaluated? Did the decision reach the right owner? Was the action completed within the available window? Did the response improve service, cost, inventory or risk? These questions move the focus from technical activity to operational performance. An organization does not need to implement this vision across the entire supply chain at once. It can begin with one recurring decision inside one network, establish the required context and governance, and complete the loop from sensing through learning. The larger vision remains important. Each implementation should contribute reusable entities, services, policies and decision patterns that make the next use case easier to introduce. Intelligent Network Operations becomes an enterprise capability through this gradual expansion. It begins with a specific decision, but it is designed for a future in which the supply chain can recognize when change matters, bring the right intelligence together and coordinate a response across the networks involved. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "What Is Planning as a Service and Why AI Makes It More Advantageous - neos by Argon & Co" source_url: "https://neosbyargonandco.com/what-is-planning-as-a-service-and-why-ai-makes-it-more-advantageous" page_path: "/what-is-planning-as-a-service-and-why-ai-makes-it-more-advantageous" page_type: "service" crawled_at: "2026-09-23T13:51:20Z" content_changed_at: "2026-09-23T13:51:20Z" content_unchanged_days: 0 observed_days: 0 --- What Is Planning as a Service and Why AI Makes It More Advantageous - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read What Is Planning as a Service and Why AI Makes It More Advantageous Diane Jordan June 24, 2025 In the previous article in this series, we introduced the concept of Planning as a Service and explored why some organizations are beginning to rethink how supply chain planning capabilities are delivered. For many supply chain leaders, the idea initially raises questions. Planning has traditionally been viewed as a core internal capability supported by planning software implemented and operated within the organization. However, as planning environments become more sophisticated, some companies are exploring whether there are alternative ways to maintain advanced planning capabilities without continually rebuilding technology and analytical infrastructure internally. To understand why this model is emerging, it is helpful to examine how Planning as a Service works in practice. The Traditional Model of Planning Technology Historically, supply chain planning technology followed a fairly predictable pattern. Organizations selected a planning platform, implemented the system, integrated it with ERP and operational systems, and trained planners to operate the environment. Internal teams then became responsible for maintaining the platform, updating models, integrating new data sources, and adapting planning processes as the business evolved. This model worked reasonably well when planning systems changed slowly and forecasting approaches remained relatively stable. However, modern planning environments behave very differently. Organizations now incorporate large volumes of operational data, external demand signals, machine learning forecasting models, and scenario simulation capabilities into their planning processes. These capabilities require continuous maintenance and refinement. As a result, the traditional model of implementing planning technology once and maintaining it internally for many years is becoming increasingly difficult to sustain. The Planning as a Service Operating Model Planning as a Service introduces a different way of thinking about planning capabilities. Instead of viewing planning as a software platform that must be implemented and managed internally, organizations treat planning as a continuously delivered capability supported by a combination of technology, analytics, and expertise. In practice, this model typically includes several key components. The planning platform remains an important foundation. Modern planning systems provide the computational engine required to analyze demand, supply, and inventory decisions across complex supply networks. However, the platform is only one part of the environment. The service model also includes analytical capabilities that support forecasting, scenario evaluation, and supply chain risk detection. These models may incorporate machine learning techniques and other advanced analytical methods that evolve over time. Equally important is the expertise required to operate and refine the planning environment. Experienced supply chain professionals help interpret planning results, adjust planning parameters, and ensure that planning processes remain aligned with business objectives. Together, these elements create a continuously managed planning capability rather than a static technology implementation. Who Does What in This Model One of the most important aspects of Planning as a Service is understanding how responsibilities are shared. Internal planning teams typically retain ownership of planning strategy and business decisions. These teams remain closely connected to sales, operations, finance, and product teams and are responsible for balancing the tradeoffs between service levels, cost, and risk. External partners focus more heavily on the technical and analytical components of the planning environment. This often includes maintaining the planning platform, managing data pipelines, monitoring forecasting models, and refining analytical approaches as new capabilities become available. This structure allows internal planners to concentrate on strategic decision making and cross functional alignment while specialized teams manage the technical systems that support modern planning environments. Why Artificial Intelligence Makes This Model More Relevant Artificial intelligence is accelerating interest in Planning as a Service for a simple reason. AI driven planning environments evolve much faster than traditional planning systems. Machine learning models must be retrained as new data becomes available. New analytical techniques continue to emerge. Planning platforms introduce new capabilities at a much faster pace than traditional enterprise systems. This rapid rate of change is forcing organizations to rethink how planning capabilities are maintained. In the past, planning systems might remain largely unchanged for several years after implementation. Today, organizations are expected to continually update models, integrate new data sources, and evaluate new analytical approaches. Maintaining this level of capability internally requires teams that combine supply chain expertise, data science skills, and advanced technology knowledge. For many companies, maintaining this level of expertise internally is difficult and expensive. Planning as a Service can become a more advantageous approach by providing access to specialized teams that continuously maintain and improve the planning environment. This allows organizations to benefit from rapidly evolving analytical capabilities without constantly rebuilding internal technical infrastructure. In a planning environment where analytical methods and AI capabilities are evolving quickly, the ability to continuously adapt may become just as important as the planning technology itself. Where This Model Works Best Planning as a Service is not appropriate for every organization. However, several situations tend to make this model particularly attractive. For large enterprises, Planning as a Service often complements strong internal planning organizations. These companies typically retain experienced planning teams that remain deeply embedded in the business. The service model supports these teams by maintaining the planning technology, analytical models, and data infrastructure that increasingly require specialized expertise. This allows internal planners to focus on business alignment, scenario evaluation, and strategic decision making while external teams manage the technical complexity of the planning environment. For smaller organizations, the model can look different. Many smaller companies do not have the resources to build large planning technology and analytics teams internally. In these cases, Planning as a Service can provide access to sophisticated planning capabilities that would otherwise be difficult to build or maintain. In some situations, external teams may manage a greater portion of the planning process itself while working closely with internal business leaders to ensure that planning decisions reflect operational priorities, customer requirements, and financial objectives. In both cases, the goal is the same. The objective is not to remove planning capability from the organization. The objective is to strengthen it by combining internal business knowledge with external expertise in planning technology, analytics, and modern planning methods. A Different Way to Think About Planning Capability Planning as a Service reflects a broader shift in how organizations think about supply chain technology. Rather than viewing planning systems as standalone tools that must be implemented and maintained internally, companies begin to think about planning as an evolving capability that combines technology, analytics, and expertise. For organizations operating in increasingly complex supply chain environments, this model can provide access to capabilities that would otherwise be difficult to sustain internally. As artificial intelligence continues to reshape supply chain planning, the ability to continuously adapt planning technology and analytical approaches may become just as important as the technology itself. Looking Ahead In the next article in this series, we will examine one of the most common challenges supply chain leaders face when evaluating planning technology. Many vendors now claim to offer artificial intelligence capabilities within their planning platforms. Understanding how to distinguish genuine AI capabilities from traditional optimization and analytical methods is critical for organizations making long term planning technology decisions. That will be the focus of our next discussion. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "What Mid-Market Supply Chains Need in a Planning Tool - neos by Argon & Co" source_url: "https://neosbyargonandco.com/what-mid-market-supply-chains-need-in-a-planning-tool" page_path: "/what-mid-market-supply-chains-need-in-a-planning-tool" page_type: "generic" crawled_at: "2026-09-23T13:51:23Z" content_changed_at: "2026-09-23T13:51:23Z" content_unchanged_days: 0 observed_days: 0 --- What Mid-Market Supply Chains Need in a Planning Tool - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read What Mid-Market Supply Chains Need in a Planning Tool How to Choose a Right-Sized Solution for Visibility, Agility, and Growth Diane Jordan May 6, 2026 If you're running a mid-sized business, chances are your supply chain challenges don't look like a Fortune 500's-but they're too complex for spreadsheets or generic ERP modules. You're balancing growth with resource constraints. Your supply chain needs to be nimble, not overloaded with enterprise-scale systems you don't need. And every dollar you spend has to deliver clear, measurable value. So what does a mid-market company need in a planning solution? Here's what to look for-and what to avoid-when evaluating your next move. 1. Fit-for-Purpose Functionality Why it matters: Many ERP-native planning tools or large-scale APS platforms are either too narrow-or too bloated. Look for a tool that was built specifically for planning -not tacked on to an ERP or CRM. Must-have features: Integrated demand, supply, and inventory planning What-if scenario modeling Alerts and exception-based workflows Support for constrained capacity and lead time variability According to Gartner, companies with mature planning processes see 15%-25% reductions in supply chain costs and 25% fewer stockouts ( Gartner, Supply Chain Strategy Playbook, 2023 ). 2. Speed to Value You don't have 18 months and a team of 30 IT resources to get a new system live. Mid-market supply chains need solutions that deliver impact quickly , without disrupting day-to-day operations. Look for: Cloud-native architecture Fast implementation cycles (measured in weeks, not quarters) Modular deployment so you can start small Example: Kinaxis Planning One is designed for rapid deployment in mid-market environments , with a short time-to-value. 3. Cross-Functional Collaboration Siloed decision-making is one of the top challenges in mid-market planning. Your tool should make it easier for Sales, Ops, Finance, and Supply Chain to work together -not harder. Key capabilities to look for: Shared data model across functions Role-based workflows Real-time updates visible to all stakeholders Integration with your CRM or S&OP process A McKinsey report showed that organizations with collaborative planning processes are twice as likely to meet service and margin targets ( McKinsey, 2022 ). 4. Scalability Without Complexity You may not need all the bells and whistles today-but your needs will grow. Your planning tool should grow with you. That means: You can turn on advanced features as needed The solution doesn't require a full re-implementation to scale New users and data sources can be added easily Avoid solutions that are either: So simplistic you'll outgrow them in 12 months So enterprise-heavy that you're paying for features you'll never use 5. Integration with Your Existing Systems Mid-market companies rarely have the luxury (or desire) to rip out their ERP. Your planning solution should enhance-not replace-your core systems . Look for: Proven ERP integrations (SAP, Microsoft Dynamics, NetSuite, etc.) Ability to bring in external data (CRM, MES, spreadsheets) Support for real-time data synchronization or scheduled loads Bonus: Built-In Support for a Crawl-Walk-Run Approach You don't need to solve everything at once. In fact, starting with the highest-value use case-like inventory visibility or constrained supply planning-is often smarter. Make sure the vendor and partner can support: A phased rollout strategy Training and change management for your team Flexibility that aligns with your goals Final Takeaway The best planning solution for mid-market supply chains isn't the one with the most features-it's the one that gives you the right capabilities at the right time , with the speed, simplicity, and scalability to grow with your business. Want help evaluating your options? We've worked with mid-sized companies to modernize planning- without overcommitting or oversp Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "What Planning Maturity Looks Like Across Demand, Supply, and Finance - neos by Argon & Co" source_url: "https://neosbyargonandco.com/what-planning-maturity-looks-like-across-demand-supply-and-finance" page_path: "/what-planning-maturity-looks-like-across-demand-supply-and-finance" page_type: "generic" crawled_at: "2026-09-23T13:51:27Z" content_changed_at: "2026-09-23T13:51:27Z" content_unchanged_days: 0 observed_days: 0 --- What Planning Maturity Looks Like Across Demand, Supply, and Finance - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read What Planning Maturity Looks Like Across Demand, Supply, and Finance Diane Jordan October 2, 2025 Planning maturity is often discussed as if it were a single destination that an organization either reaches or does not. In reality, maturity develops unevenly. Most companies do not evolve demand, supply, and finance planning at the same pace. One function may appear advanced, while another still relies on manual workarounds and disconnected assumptions. Over time, those differences become more visible and more costly. True planning maturity is not defined by a tool or a process. It is defined by how well these functions operate together when decisions need to be made. Demand: From Forecasting to Decision Support In the early stages of maturity, demand planning is primarily focused on producing a forecast. Historical data is reviewed, adjustments are applied, and a final number is published, often under tight timelines. Accuracy becomes the primary measure of success, and the process is largely centered on predicting what will happen. As organizations mature, the role of demand planning begins to shift. Rather than producing a single number, demand planning becomes a way to understand uncertainty. Multiple demand scenarios are evaluated, assumptions are documented, and commercial inputs from sales and marketing are incorporated earlier in the process. At higher levels of maturity, demand planning supports decisions rather than simply reporting outcomes. Leaders use demand insight to evaluate trade-offs, assess risk, and determine where to invest capacity or inventory. The forecast becomes a starting point for discussion instead of the final answer. Supply: From Reactive Planning to Network Coordination Supply planning often begins as a reactive function. Planners spend much of their time responding to shortages, expediting orders, and resolving conflicts after they occur. Plans are frequently overridden because execution rarely aligns with assumptions. As maturity increases, organizations gain better visibility into constraints and interdependencies. Production, procurement, and distribution planning become more connected, allowing teams to evaluate alternatives before decisions are executed. In more mature environments, supply planning evolves into a coordination role across the network. Teams can quickly assess options, understand the impact of each decision, and align actions across sites and functions. Planning becomes proactive rather than corrective. Finance: From Reporting Results to Informing Decisions Finance is often integrated later in the maturity journey, yet it plays a critical role. In less mature environments, financial planning tends to be retrospective. Variances are analyzed after the month closes, and operational plans are translated into financial terms only once decisions have already been made. As organizations evolve, finance becomes involved earlier in the planning process. Operational scenarios can be evaluated alongside margin, working capital, and cash implications. At higher levels of maturity, finance helps shape decisions rather than validate them after the fact. Leaders gain visibility into financial outcomes before execution, enabling more confident and balanced trade-offs across service, cost, and profitability. The Real Indicator of Maturity Is Alignment The clearest sign of planning maturity is not how advanced each function appears on its own. It is how well demand, supply, and finance align. When these functions operate on different assumptions, timelines, or data sets, even well-designed processes struggle to deliver value. Meetings focus on reconciling numbers instead of making decisions. More mature organizations create alignment through shared data, connected planning horizons, and common decision frameworks. Conversations shift from defending functional positions to determining the best path forward for the business. Instead of debating which number is correct, teams focus on which decision should be made. Maturity Is a Journey, Not a Finish Line Planning maturity does not occur all at once. It develops over time as complexity increases and leadership expectations evolve. What matters most is understanding where gaps exist and how those gaps influence day-to-day decision-making. The objective is not perfection. It is progress. Moving from disconnected plans to coordinated decisions, from static processes to responsive insight, and from functional silos to enterprise alignment is what defines true planning maturity across demand, supply, and finance. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "What's the Difference Between S&OP and IBP - and Why It Matters Now - neos by Argon & Co" source_url: "https://neosbyargonandco.com/whats-the-difference-between-sop-and-ibp-and-why-it-matters-now" page_path: "/whats-the-difference-between-sop-and-ibp-and-why-it-matters-now" page_type: "generic" crawled_at: "2026-09-23T13:51:30Z" content_changed_at: "2026-09-23T13:51:30Z" content_unchanged_days: 0 observed_days: 0 --- What's the Difference Between S&OP and IBP - and Why It Matters Now - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read What's the Difference Between S&OP and IBP - and Why It Matters Now Diane Jordan August 11, 2026 If you lead a supply chain, finance, or operations team at a mid-sized company, chances are you've been running some form of Sales & Operations Planning (S&OP) for years. Maybe you have monthly meetings, a demand forecast, and a supply plan. Maybe you even call it IBP. But is it? Today, many companies are realizing that while S&OP got them aligned operationally , it doesn't always get them aligned strategically . That's where Integrated Business Planning (IBP) comes in. But let's be clear: IBP isn't just a new name for S&OP. It's a fundamentally different approach that ties planning decisions directly to business goals-across functions, horizons, and performance metrics. So what's the real difference? And why is this distinction becoming more important than ever for mid-market companies? The Short Answer: S&OP Aligns Operations. IBP Aligns the Business. S&OP was designed to bring together demand and supply in a structured, predictable way. It's about balancing what customers want with what the business can deliver-typically on a monthly cadence, using historical data and constrained planning. IBP , on the other hand, connects those operational decisions to financial targets, strategic goals, and enterprise-wide decision-making. It's cross-functional, forward-looking, and designed to drive business performance-not just supply chain efficiency. Feature S&OP IBP Focus Demand/supply balancing Business strategy execution Horizon 3-18 months 3 months to 3+ years Additional Functions Involved Primarily supply chain Finance, marketing, R&D, exec leadership Metrics Service levels, inventory, forecast accuracy Margin, revenue, working capital, EBITDA Tools used Excel, planning modules Advanced analytics, scenario modeling, planning platforms "IBP is not S&OP with a new name. It represents a significant transformation in the way companies plan, govern, and execute." - Gartner, "The Road to Integrated Business Planning," 2023 Why This Shift Matters Now -Especially for Mid-Sized Companies There was a time when IBP felt like something only Fortune 500s needed-or could afford. But that's changed. Today's mid-sized businesses face: Longer lead times and unpredictable demand Higher cost pressure and tighter capital access More executive scrutiny on planning decisions Greater need for scenario-based agility And the systems that support traditional S&OP-often Excel and disconnected planning modules-just can't deliver the visibility or speed required to respond strategically. According to McKinsey , companies that moved from S&OP to IBP saw up to: 20% improvement in forecast accuracy 10-15% reduction in inventory 5-10% increase in EBIT That's not just planning improvement. That's business improvement. Most Companies Aren't "Doing IBP"-Even If They Think They Are Many companies believe they're doing IBP because they have: A rolling forecast A monthly exec meeting Input from multiple departments But unless you're: Aligning financial targets and strategic plans with operational plans Running scenarios tied to P&L impact Empowering decisions that cross functional boundaries ...you're probably still in the S&OP zone. That's okay. The point isn't to jump straight into IBP. The point is to understand where you are-and what comes next. IBP Is a Journey-Not a Switch You Flip One of the biggest misconceptions about IBP is that it's a software implementation. In reality, it's an organizational maturity curve -one that blends people, process, and technology in a way that fits your business. For mid-sized companies, the path forward is about: Getting executive buy-in Integrating finance into planning Moving beyond Excel Focusing on agility over perfection Conclusion: Know the Difference. And Know What It Means for You. If you're running solid S&OP processes today, that's a strong foundation. But if your business wants to: Respond faster Align better Plan smarter Hit financial targets more predictably ...then it may be time to start the journey toward IBP. In this blog series, we'll break down what IBP really looks like in practice-and how to take steps toward it without overengineering or overspending. Because the truth is: IBP isn't just for the big guys anymore. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "When Excel Stops Working and Why That Moment Matters - neos by Argon & Co" source_url: "https://neosbyargonandco.com/when-excel-stops-working-and-why-that-moment-matters" page_path: "/when-excel-stops-working-and-why-that-moment-matters" page_type: "generic" crawled_at: "2026-09-23T13:51:34Z" content_changed_at: "2026-09-23T13:51:34Z" content_unchanged_days: 0 observed_days: 0 --- When Excel Stops Working and Why That Moment Matters - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read When Excel Stops Working and Why That Moment Matters Diane Jordan September 27, 2025 Nearly every planning organization begins its journey with Excel. It is familiar, flexible, and accessible, making it an easy place to start when businesses are small and complexity is manageable. For a long time, spreadsheets serve teams well. They allow planners to test ideas quickly, adapt models as conditions change, and respond without heavy process or technology. Because of that, Excel often becomes deeply embedded in how planning is done. It feels intuitive. It feels controllable. And in the early stages of growth, it works. The challenge is that planning does not stand still. As organizations grow, the environment around planning changes, often more quickly than the planning approach itself. At some point, Excel begins to feel less like an enabler and more like a constraint. That moment rarely arrives suddenly. There is no system outage or obvious breaking point. Instead, frustration builds gradually as complexity increases and expectations rise. Files begin to multiply. Versions conflict. Planners spend more time reconciling numbers than analyzing outcomes. Meetings grow longer, yet decisions feel harder to reach. Confidence in the plan begins to weaken, even though everyone involved is working harder than before. This moment matters far more than most organizations realize. Excel works so well early on because it aligns with the simplicity of the business at that stage. Planning problems are contained. Stakeholders are limited. Communication happens informally. Flexibility is more valuable than structure, and spreadsheets provide exactly that. As the business expands, however, planning challenges become fundamentally different. Product portfolios grow, supply networks stretch across regions, and financial implications carry greater weight. Planning discussions begin to involve more functions and more perspectives, each with their own priorities and assumptions. What once worked through informal coordination now requires alignment. Excel, which thrives on individual ownership and local flexibility, begins to struggle in this environment. It is not because spreadsheets are poorly designed, but because they were never meant to support shared decision making across a growing organization. At this stage, planning conversations start to shift. Teams arrive at meetings with different versions of the truth. Time is spent explaining why numbers differ rather than discussing what action should be taken. Scenario analysis becomes slow and manual, limiting the organization's ability to respond when conditions change. The spreadsheet still calculates correctly, but the planning process itself no longer does. Often, this breakdown is misinterpreted. Leaders may assume the issue lies with discipline, accountability, or execution. In response, more templates are introduced, more reviews are scheduled, and more controls are layered on top of the existing process. While well intentioned, these actions usually increase effort without improving outcomes. The underlying issue remains that the business has outgrown the planning model supporting it. This is why the moment Excel stops working is so important. It represents a shift in what the organization needs from planning. Planning is no longer about producing a plan. It is about enabling decisions. As volatility increases and tradeoffs become more complex, leaders need clarity more than precision. They need to understand options, consequences, and alignment across functions in order to move forward with confidence. Spreadsheets were never designed to support that level of coordination at scale. Waiting too long to acknowledge this shift carries real cost. Decision cycles slow. Frustration grows. High performers burn out as they compensate manually for system limitations. Over time, planning becomes reactive rather than strategic, even though the business depends on it more than ever. Recognizing the moment when Excel stops working is not an admission of failure. It is a sign of growth. It signals that the organization has reached a level of complexity where planning maturity must evolve. The question is no longer whether spreadsheets can be stretched a bit further, but whether the planning approach still matches the needs of the business. Organizations that recognize this moment early are able to move forward deliberately. Those that ignore it often spend years working around the problem, investing more effort while gaining less confidence. Excel plays an important role in every planning journey. It enables early learning and experimentation. But there comes a point when flexibility alone is no longer enough. When planning complexity exceeds the ability of spreadsheets to support alignment and decision making, something must change. That moment matters, because planning maturity does not advance by working harder. It advances by working differently. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Implementation Archives - neos by Argon & Co" source_url: "https://neosbyargonandco.com/whitepaper-category/implementation" page_path: "/whitepaper-category/implementation" page_type: "generic" crawled_at: "2026-09-23T13:51:37Z" content_changed_at: "2026-09-23T13:51:37Z" content_unchanged_days: 0 observed_days: 0 --- Implementation Archives - neos by Argon & Co Skip to content Building Smarter Supply Chains Category: Implementation From Implementation to Impact: Making SAP EWM Deliver How leading organisations move beyond go-live to achieve measurable gains in warehouse productivity, and cost. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "WHITE PAPER Archives - neos by Argon & Co" source_url: "https://neosbyargonandco.com/whitepaper-tag/white-paper" page_path: "/whitepaper-tag/white-paper" page_type: "generic" crawled_at: "2026-09-23T13:51:41Z" content_changed_at: "2026-09-23T13:51:41Z" content_unchanged_days: 0 observed_days: 0 --- WHITE PAPER Archives - neos by Argon & Co Skip to content Building Smarter Supply Chains Tag: WHITE PAPER From Implementation to Impact: Making SAP EWM Deliver How leading organisations move beyond go-live to achieve measurable gains in warehouse productivity, and cost. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Whitepapers - neos by Argon & Co" source_url: "https://neosbyargonandco.com/whitepaper" page_path: "/whitepaper" page_type: "generic" crawled_at: "2026-09-23T13:55:20Z" content_changed_at: "2026-09-23T13:55:20Z" content_unchanged_days: 0 observed_days: 0 --- Whitepapers - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co Whitepapers Perspectives designed to educate and support better supply chain decisions. Filter By: Implementation All WHITE PAPER From Implementation to Impact: Making SAP EWM Deliver May 4, 2026 Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "whitepapers__from-implementation-to-impact-making-sap-ewm-deliver" source_url: "https://neosbyargonandco.com/whitepapers/from-implementation-to-impact-making-sap-ewm-deliver" page_path: "/whitepapers/from-implementation-to-impact-making-sap-ewm-deliver" page_type: "generic" crawled_at: "2026-09-23T13:51:48Z" content_changed_at: "2026-09-23T13:51:48Z" content_unchanged_days: 0 observed_days: 0 --- %PDF-1.6 % 510 0 obj > endobj xref 510 26 0000000016 00000 n 0000001272 00000 n 0000001433 00000 n 0000001467 00000 n 0000001533 00000 n 0000001872 00000 n 0000002138 00000 n 0000002175 00000 n 0000002219 00000 n 0000002587 00000 n 0000002624 00000 n 0000018156 00000 n 0000022750 00000 n 0000022800 00000 n 0000022855 00000 n 0000022925 00000 n 0000028163 00000 n 0000028357 00000 n 0000028720 00000 n 0000029121 00000 n 0000029264 00000 n 0001375958 00000 n 0001392672 00000 n 0001400325 00000 n 0002303625 00000 n 0000000853 00000 n trailer ]/Prev 7642097>> startxref 0 %%EOF 535 0 obj >stream hb```c`` b , @$b!'*^F W lN/pqP*q```JP:52d"_'yjb}N1: /}Db pae::;:4:::,::@HCjK7edt#?CsXA%QyIK HcC`'wt ;f8\gt`{)ATOCPpC1P R|{qG C#,21(@elk endstream endobj 511 0 obj > endobj 512 0 obj > endobj 513 0 obj > endobj 514 0 obj >/XObject >>>/Rotate 0/StructParents 0/Tabs/S/TrimBox[0.0 7.8299813 595.5 850.07996]/Type/Page>> endobj 515 0 obj >stream H 0D9 & HZ-=TExbcR =^vE]/CZ,g:(kS @r\ 'U LsqT$Q3 .JoXB=?" b\l>c>ra$I1`R[g`OFtL endstream endobj 516 0 obj > endobj 517 0 obj > endobj 518 0 obj >stream x}J( 28hiRpi"VSAOHStspu+.c(#ARx@?F[V[G@`* dK$O.K o@6 `O,f'O asx0A6vf 8{c7%opZ:u Q 0QF *(SDGACAajgrx]s PxM c vhO >stream xe}#ba^A@]*R41C>3 %k@cAgO/:t 1@c%Eo0 ` :t 1-JA It 1@c _@ :t 1@c}}P0 ` :t |"_\A0 /[H1[AP {@@Q (JA,g*_@ :t 1@cV|M P0 ` :t A{q_BA0 hWY~%@cA/_@ :t 1@cYRA0Wh/? ,'(d/_@ :t 1@{m~PzP0 ` :@H?CHt 1@c5@#GAn?fqWI` d@JA =& /{_@ :t 1@t@K@}3JAXM9 X\:@P~%@c49d6!{_@ :t 1@ 8xA[t ^2W ACr_K @38@:t 1@@ Cz mIyX!}= AerO [; Aa}: Z #N?t 1@cv~ v>OA1P? 6#I?t 1@:bFof6g;:-KjhG~@cp& qj@4#=qG o AhQ+8:J`:| =aqG _ Ar4QG +IuXQ~@c8ftG.;O?t 1@c ;cN8 ;.H?t 1@c 7cO \Bt f.va'P0  N? t`!:Hlg~@cp&:#XBzrCut 2Fq9G@:t !g3]z}C t W"3;" m: :#4\zt Z#?2  8igo=*{K#XSz;{Q'P0 `m9t HWF0)=^Y@^m9gQ'P0uG? ! %(Nv *uG@:@G. cnFvS)7~vg6X;:J/_t t hPzHo?;>pn4g^2t P `  ;I?t `sn7yneG8@IoEO:#/w~@@nenK`@A:@%o[:7 nzy'  HO 0Ezy'vvt=+0t` :&@@7 u=;*t}:"  sXt.=:O?ow? 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"/why-fast-beats-perfect-in-modern-supply-chains" page_type: "generic" crawled_at: "2026-09-23T13:51:50Z" content_changed_at: "2026-09-23T13:51:50Z" content_unchanged_days: 0 observed_days: 0 --- Why Fast Beats Perfect in Modern Supply Chains - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Why Fast Beats Perfect in Modern Supply Chains Five takeaways from a conversation with Scott Spyker and Christy Christian Diane Jordan September 2, 2026 Supply chain leaders have spent years pursuing better data, more accurate plans and greater confidence before acting. But in an environment where disruptions arrive faster than teams can fully analyze them, waiting for the perfect answer can create more risk than making a well-informed decision and adjusting as conditions change. That was the central theme of a recent fireside chat between Scott Spyker, Partner at neos by Argon & Co, and Christy Christian, Life Sciences Industry Principal at Kinaxis. Their conversation explored what faster decision making requires, how AI changes the planner's role and why leadership support is essential. Five takeaways stood out. 1. Speed is becoming a core resilience capability Modern supply chains are not simply experiencing more disruption. They are facing disruptions that are more frequent, more varied and often overlapping. A team may still be analyzing one issue when the next one arrives. In that setting, delaying a decision does not preserve the status quo. It allows the consequences to compound. Fast does not mean random or reckless. It means making the best decision possible with the information available, preserving momentum and staying ready to change course. The goal is not certainty. It is to reduce the time between recognizing a problem, understanding the options and acting on the best available path. 2. A decision should be treated as a direction, not a permanent answer Traditional planning processes can create the impression that a decision should remain valid once it has been approved. Today's conditions make that expectation increasingly unrealistic. Demand changes, supply assumptions shift, regulations evolve and new risks emerge. The more useful capability is the ability to make a sound decision now, monitor the assumptions behind it and recalculate when those assumptions change. This turns planning into a continuous cycle of deciding, learning and redirecting. A faster decision is valuable because the organization can act sooner, but also because it creates an earlier opportunity to learn from the outcome. 3. AI can remove decision latency, but people still create the meaning Much of a planner's time is still spent gathering data, reconciling spreadsheets and preparing analysis. AI and advanced planning technology can compress that foundational work by assembling information, identifying impacts and teeing up scenarios much faster than a person could manually. The human contribution does not disappear. It becomes more important and more focused. Planners need to interpret the analysis, explain the tradeoffs and build a clear story that moves the organization toward a decision. AI can accelerate the path to insight; people apply context, judgment and accountability. The strongest organizations will use the two together. 4. Inventory resilience depends on where the buffer sits In life sciences, product availability can directly affect patient care and competitive position. That reality has historically supported higher inventory levels. Yet financial pressure is making it harder to carry excess stock across every point in a complex network. The question is no longer simply whether to hold more or less inventory. It is where inventory provides the greatest protection. Better network visibility and more finite planning allow leaders to place buffers where they create the highest confidence of serving the patient while avoiding cash tied up everywhere. This is a network decision, not a collection of isolated site decisions. 5. The planner of the future will think across the network Many planning organizations remain divided into demand, supply, inventory and plant-level roles. Those specialties are valuable, but handoffs between them introduce time and limit visibility into how a decision in one area affects the rest of the network. Scott and Christy described a shift toward a network planner who can balance demand and supply end to end. That planner will need broader supply chain fluency, comfort with AI and automation, and the ability to translate analysis into an executive-ready narrative. Just as important, leaders must give teams permission to act when they are confident enough, rather than expecting absolute certainty. The leadership challenge: create confidence to act Technology alone will not make decisions faster. Leaders must establish clear decision thresholds, support teams when they act within those boundaries and recognize that a decision may need to change as new information arrives. If planners believe they will be penalized whenever an informed decision proves imperfect, they will continue to wait. The organizations that gain the most from AI will not be those that eliminate uncertainty. They will be the ones that become better at acting within it: using technology to shorten the analysis, people to interpret the consequences and leadership to create the confidence to move. About the conversation Scott Spyker is a Partner at neos by Argon & Co. Christy Christian is Life Sciences Industry Principal at Kinaxis. Their fireside chat, Why Fast Beats Perfect in Modern Supply Chains, examined the relationship between decision speed, AI, planning and resilience. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Why Forecast Accuracy Alone Isn't the Measure of Planning Maturity - neos by Argon & Co" source_url: "https://neosbyargonandco.com/why-forecast-accuracy-alone-isnt-the-measure-of-planning-maturity" page_path: "/why-forecast-accuracy-alone-isnt-the-measure-of-planning-maturity" page_type: "generic" crawled_at: "2026-09-23T13:51:53Z" content_changed_at: "2026-09-23T13:51:53Z" content_unchanged_days: 0 observed_days: 0 --- Why Forecast Accuracy Alone Isn't the Measure of Planning Maturity - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Why Forecast Accuracy Alone Isn't the Measure of Planning Maturity Diane Jordan October 5, 2025 Forecast accuracy has long been viewed as the primary indicator of supply chain planning performance. When organizations talk about improving planning, the discussion often centers on one question: how accurate is our forecast? It is an understandable focus. A more accurate forecast creates stability, improves coordination, and brings structure to planning conversations. For organizations early in their maturity journey, these improvements can deliver meaningful value. However, as the business evolves, accuracy alone begins to fall short. Accuracy Solves Yesterday's Problems Forecasts are built using historical patterns. Even the most advanced models rely on past behavior to inform future expectations. That approach works well in stable environments. But as markets become more volatile, customer behavior shifts, and supply networks grow more complex, history becomes a weaker predictor of what lies ahead. At that point, improving forecast accuracy often produces diminishing returns. Teams invest significant effort to gain small percentage improvements, yet leaders still struggle to make confident decisions when conditions change. The forecast may look better on paper, but uncertainty remains. When the Metric Becomes the Mission As organizations mature, an overemphasis on forecast accuracy can unintentionally distort planning behavior. Planners spend more time refining numbers than evaluating implications. Discussions focus on explaining variance instead of understanding risk. Forecasts are adjusted to protect the metric rather than to support decisions. In these moments, accuracy becomes the goal instead of a tool. Yet leadership rarely asks whether the forecast was accurate last month. They want to understand what could happen next and how prepared the organization is to respond. Forecast accuracy alone cannot provide that clarity. Planning Maturity Changes the Question As planning capabilities evolve, the central question shifts. Rather than asking whether the forecast is correct, mature organizations ask whether the plan supports better decisions. They focus on understanding exposure, evaluating alternatives, and aligning trade-offs across functions. They recognize that uncertainty is unavoidable and that planning must support action even when outcomes are unclear. In this context, the forecast becomes an input into decision-making rather than the measure of success. Confidence Comes from Preparedness, Not Precision The most advanced planning organizations are not those with perfect forecasts. They are the ones that can assess scenarios quickly, understand the consequences of change, and respond with confidence when assumptions shift. A slightly less accurate forecast paired with strong scenario planning often delivers better outcomes than a highly accurate forecast that cannot adapt. Confidence grows not because the number is exact, but because leaders understand what happens if it is wrong. Measuring What Truly Matters As organizations progress along the planning maturity journey, success is better measured through decision effectiveness than predictive precision. Indicators such as decision speed, scenario readiness, cross-functional alignment, and clarity of trade-offs provide a more meaningful reflection of planning capability. These measures reveal whether planning enables the business to move forward with confidence, even in uncertain conditions. Accuracy Is the Starting Point, Not the Destination Forecast accuracy will always matter. It provides structure and discipline, particularly in the early stages of planning maturity. But it should not be mistaken for the ultimate objective. True maturity is reflected in the organization's ability to make timely, informed decisions as complexity grows. In today's environment, planning excellence is not defined by how accurately the future is predicted, but by how effectively the organization responds when it inevitably changes. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Why Forecast Accuracy Still Fails in Mining - and How Finance Feels the Pain" source_url: "https://neosbyargonandco.com/why-forecast-accuracy-still-fails-in-mining-and-how-finance-feels-the-pain" page_path: "/why-forecast-accuracy-still-fails-in-mining-and-how-finance-feels-the-pain" page_type: "generic" crawled_at: "2026-09-23T13:51:57Z" content_changed_at: "2026-09-23T13:51:57Z" content_unchanged_days: 0 observed_days: 0 --- Why Forecast Accuracy Still Fails in Mining - and How Finance Feels the Pain Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Why Forecast Accuracy Still Fails in Mining - and How Finance Feels the Pain Uncovering the financial impact of poor planning accuracy across volatile mining supply chains. Diane Jordan March 1, 2026 In mining and metals, volatility is nothing new - commodity cycles, shifting demand, unpredictable lead times, and tight logistics capacity are all part of the game. But for finance leaders, the real challenge isn't just what the market does. It's whether your organization sees it coming and plans accordingly. And too often, it doesn't. Forecast accuracy continues to be one of the weakest links in mining supply chains. Despite better data, more systems, and experienced teams, the gap between forecast and actual performance remains wide - and finance ends up holding the bag. The Finance Cost of Forecast Failure When forecasts are off - even slightly - it sets off a cascade of impacts across the P&L and balance sheet: Working capital gets locked in the wrong places Inventory is either overstocked or stranded at the wrong site, tying up cash. Operations scramble, driving up cost per ton Last-minute changes lead to premium freight, underutilized equipment, or rushed labor. Revenue targets get missed Finished goods or export loads aren't ready when demand hits - losing orders or shifting revenue across periods. Budgets lose credibility When the plan doesn't reflect real-world execution, finance has little confidence in forecasts or spending assumptions. Stat: According to McKinsey, nearly two-thirds of mining companies miss quarterly forecasts due to inaccurate supply chain inputs - especially in production and logistics planning. Why Forecast Accuracy Struggles in Mining 1. Fragmented Planning Systems Production, inventory, logistics, and commercial teams often use disconnected tools. Without a single source of truth, assumptions don't match across functions - and finance inherits the risk. 2. Delayed or Incomplete Data Remote sites report lagging or incomplete data, and local plans rarely reflect global shifts. That lag leads to planning decisions made on outdated inputs - and financial projections that are already stale. 3. Lack of Scenario Modeling Most teams still plan linearly - "Here's what we think will happen." But in reality, market shifts, supply constraints, and transportation bottlenecks are inevitable. Without modeling the range of possible futures, forecasts are fragile. What Finance Needs to Own Forecast Risk Finance teams don't need to become supply chain experts - but they do need to shape the planning process to reflect risk-adjusted assumptions. Here's what that looks like in practice: Shared Visibility: Finance, operations, and logistics work from the same data and planning timelines. Rolling Forecasts & Live Inputs: Budgeting and forecasting evolve continuously as inputs change - not just once per quarter. Trade-Off Transparency: When decisions impact cost, service, or risk, Finance is part of the conversation - not informed afterward. Scenario-Driven Forecasting: Teams model downside cases (e.g., demand dip, shipping delay) and understand the impact to revenue and cost profiles. Real-World Results One mid-tier mining company adopted integrated demand and operations planning after repeatedly missing revenue forecasts by 8-12% due to site-level variability. By linking finance into weekly scenario discussions and enabling real-time forecast adjustments, they: Improved revenue forecast accuracy by 9% Reduced excess inventory by 15% Cut premium freight costs by 21% quarter-over-quarter The result wasn't just operational - it restored confidence in financial commitments and budgeting discipline. Conclusion: Accuracy = Credibility = Advantage Forecast accuracy isn't a supply chain problem. It's a business performance problem - one that Finance is uniquely positioned to champion. When finance leaders push for connected planning, real-time visibility, and scenario-based forecasting, they do more than protect margins. They build the credibility and agility needed to make smarter, faster decisions across the business. In a volatile mining environment, that could be your edge. Citations & Sources McKinsey & Company - Risk, Resilience, and Rebalancing in Global Supply Chains Deloitte - Tracking the Trends 2023: Planning & Forecasting Challenges BCG - Rewiring Mining Planning for Financial Agility Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Why Mid-Sized Companies Delay Planning Investments-And What It Costs Them - neos by Argon & Co" source_url: "https://neosbyargonandco.com/why-mid-sized-companies-delay-planning-investments-and-what-it-costs-them" page_path: "/why-mid-sized-companies-delay-planning-investments-and-what-it-costs-them" page_type: "generic" crawled_at: "2026-09-23T13:52:00Z" content_changed_at: "2026-09-23T13:52:00Z" content_unchanged_days: 0 observed_days: 0 --- Why Mid-Sized Companies Delay Planning Investments-And What It Costs Them - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Why Mid-Sized Companies Delay Planning Investments-And What It Costs Them The Hidden Risks of Waiting Too Long to Modernize Supply Chain Planning Diane Jordan November 15, 2025 "We'll look into it next quarter." "Let's get through this season first." "We're managing okay-for now." If you're leading supply chain operations in a mid-sized company, those phrases probably sound familiar. They're not wrong-and they're not excuses. They reflect a very real tension in mid-market business: you know your planning process needs to improve , but urgent daily demands keep pushing strategic change down the road. Unfortunately, what feels like a cautious delay often becomes a quiet drain on performance-and a missed opportunity to build a more resilient, scalable supply chain. This post explores why mid-sized companies delay planning investments , what it's really costing, and how to move forward without biting off more than you can chew. Why the Delay Happens 1. "We're too busy right now." Mid-market teams are lean and efficient-but often stretched to the limit. Implementing new technology sounds risky when you're already working overtime to meet demand or fight fires. What's missed: Modern planning tools no longer require year-long, high-disruption implementations. Solutions like Kinaxis Planning One offer fast, modular deployments. Most companies start seeing value in months-not years-often starting with a single use case like inventory optimization. Waiting until you're "not busy" often means waiting forever-and continuing to bleed value. 2. "We can't afford a big transformation." There's a misconception that planning upgrades mean enterprise-scale investments, complex IT projects, and full system overhauls. The truth: Most modern platforms are designed for crawl-walk-run adoption. You can start with limited scope and investment-no need to rip and replace your ERP. Think of it as adding intelligence and agility to what you already have, not starting over. Delayed investment often leads to reactive spending later-on premium freight, stockouts, or emergency hires. 3. "We're getting by just fine." You probably are-for now. But that doesn't mean you're doing it efficiently or competitively. In fact, getting by often hides systemic inefficiencies . Signs you're compensating for system gaps: Planners use Excel as their real planning tool Key knowledge lives in people's heads, not systems Data consolidation takes longer than decision-making Demand shifts cause frequent last-minute scrambling According to Gartner, over 60% of mid-market supply chains still rely heavily on spreadsheets for planning-and report declining forecast accuracy as complexity increases (Gartner, 2023). What It's Really Costing You 1. Tied-Up Working Capital Without visibility into demand-supply alignment, many companies pad their inventory to avoid risk. But that safety stock has a cost. A 10% inventory reduction across a $50M operation = $5M in freed-up capital (Gartner, 2023) 2. Service Failures That Hurt Customer Trust Poor planning leads to missed commitments, rushed shipments, or empty shelves. Customers don't see your spreadsheet issues-they just see you failing to deliver. Bain found that improved planning agility correlates with 20-30 point improvements in customer satisfaction metrics (Bain, 2022). 3. Planners Wasting Time on Low-Value Work Manual updates, version control, siloed tools-your best people spend their time stitching data together instead of solving problems. IDC estimates 20% of planner time is lost on non-value tasks in companies using disconnected tools ( IDC, 2023 ). 4. Increased Risk During Disruption The longer you rely on rigid tools and fragmented data, the harder it is to respond when something goes wrong. Whether it's a supplier delay, demand spike, or logistics bottleneck- speed of response is everything . McKinsey estimates that 45% of EBITDA is at risk over a decade from unaddressed supply chain vulnerabilities (McKinsey, 2020). What's the Opportunity Cost? Let's say you delay upgrading planning capabilities for 12 months: You continue with a 15% inventory buffer = $3M tied up Your forecast error leads to 5% service loss = $1M in missed revenue Your team burns 1,000+ hours on manual data cleanup = $75K in labor cost All of that- just to avoid change. What You Can Do Now (Without Going All In) Pick a Starting Point: Inventory planning, constrained supply visibility, or demand forecast collaboration-any one of these can deliver measurable ROI quickly. Use a Crawl-Walk-Run Framework: Align your investment with a phased approach that grows with your needs, not ahead of them. Build Your Case Early: The sooner you start evaluating, the better prepared you'll be when disruption-or opportunity-forces the issue. Don't Let Delay Turn Into a Setback Modern planning platforms are accessible , scalable , and designed for teams just like yours. The risk today isn't acting too soon-it's waiting too long. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- **Offer disclosure.** Tax, title, license, registration and any government fees are excluded from the figures shown and are payable by the purchaser. A dealer documentation fee may apply and is not configured for this rooftop, so it is not reflected in any figure shown. Not all buyers or lessees will qualify. Subject to credit approval and lender program eligibility. Payments shown are estimates for illustration only. They are not an offer of credit, a credit decision, or a guarantee of terms. See the dealership for complete details. --- --- title: "Why Mid-Sized Companies Struggle to Get IBP Off the Ground - neos by Argon & Co" source_url: "https://neosbyargonandco.com/why-mid-sized-companies-struggle-to-get-ibp-off-the-ground" page_path: "/why-mid-sized-companies-struggle-to-get-ibp-off-the-ground" page_type: "generic" crawled_at: "2026-09-23T13:52:04Z" content_changed_at: "2026-09-23T13:52:04Z" content_unchanged_days: 0 observed_days: 0 --- Why Mid-Sized Companies Struggle to Get IBP Off the Ground - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Why Mid-Sized Companies Struggle to Get IBP Off the Ground Diane Jordan August 6, 2026 Ask a mid-sized company if they're interested in Integrated Business Planning (IBP), and you'll often hear, "Yes-but we're not ready yet." That hesitation isn't about lack of ambition. It's about reality. For many mid-market businesses, the move from traditional Sales & Operations Planning (S&OP) to IBP feels like a leap. It requires cross-functional collaboration, strategic alignment, and often, a cultural shift. But the truth is, you don't need to be perfect to start -you just need to understand the roadblocks so you can start moving past them. Here are the five most common reasons mid-sized companies struggle to get IBP off the ground-and how to overcome them. 1. It's Treated Like a Software Project, Not a Business Strategy One of the biggest mistakes? Thinking IBP is a tech implementation. Yes, planning platforms like Kinaxis or ketteQ , can enable IBP-but they're not the strategy. Without executive vision, cross-functional leadership, and process ownership, software alone won't get you there. "IBP must be driven by the business and supported by IT-not the other way around." - Oliver Wight, Integrated Business Planning Whitepaper The Fix: Start by aligning stakeholders around what IBP is for -not what it does . Tie it to business outcomes like margin protection, working capital improvement, and faster decision cycles. 2. Finance Isn't at the Table In traditional S&OP, finance is often peripheral-focused on budgeting or reconciling forecasts after the fact. But in IBP, finance is a co-pilot , helping guide decisions based on P&L impact, scenario outcomes, and long-range goals. Without finance engaged from the beginning, IBP never moves past operations. The Fix: Bring finance into planning conversations early. Link scenarios to margin and cash flow. Make financial performance part of the plan review-not just a scorecard. 3. Siloed Ownership and Departmental Resistance IBP requires true cross-functional planning-sales, ops, marketing, finance, and leadership. But many mid-sized companies still operate in silos, with each team protecting its own numbers and assumptions. That makes it hard to build trust or align around a single version of the truth. The Fix: Appoint a cross-functional IBP lead (often from supply chain or finance), create shared KPIs, and focus on decisions-not just data. Use collaborative tools that enable transparency and engagement across teams. 4. Excel Still Runs the Process We get it. Excel is familiar. But it's also static, manual, and error-prone. It can't handle real-time collaboration, constraint-based modeling, or scenario simulations at scale. Most mid-market companies hit a ceiling with spreadsheets long before they reach IBP maturity. The Fix: Start small-introduce purpose-built planning tools that plug into existing systems without replacing everything. Focus on use cases like inventory optimization, what-if simulations, or demand-supply reconciliation that show fast ROI. "Organizations that rely heavily on spreadsheets for planning experience 30-40% longer decision cycles." - Gartner, "Future of Supply Chain Planning," 2023 5. Leadership Wants Results... Yesterday Let's be honest-executives are often sold a version of IBP that sounds like magic. So when results don't appear in 3 months, momentum fades. But IBP is a journey. The companies who succeed are the ones who prioritize progress over perfection and invest in sustainable change. The Fix: Set clear milestones. Share early wins. Build maturity over time (see our upcoming Crawl, Walk, Run blog). And manage expectations: IBP is transformation, not a toggle. Conclusion: Barriers Are Real-but So Are the Benefits IBP can sound like a big-company initiative-but it's not. It's a better way to run your business. And for mid-sized companies who want to grow with confidence, reduce firefighting, and link planning to performance, it's more accessible than ever. The key? Don't let the challenges stop you. Understand them, plan for them, and build your journey one step at a time.S Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Why Mid-Sized Mining Companies Are Leading the Way in Supply Chain Innovation" source_url: "https://neosbyargonandco.com/why-mid-sized-mining-companies-are-leading-the-way-in-supply-chain-innovation" page_path: "/why-mid-sized-mining-companies-are-leading-the-way-in-supply-chain-innovation" page_type: "generic" crawled_at: "2026-09-23T13:52:07Z" content_changed_at: "2026-09-23T13:52:07Z" content_unchanged_days: 0 observed_days: 0 --- Why Mid-Sized Mining Companies Are Leading the Way in Supply Chain Innovation Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Why Mid-Sized Mining Companies Are Leading the Way in Supply Chain Innovation Diane Jordan March 11, 2026 For years, supply chain innovation in mining has been thought of as the domain of global giants - multinationals with vast capital resources, sprawling operations, and deep IT departments. But that dynamic is shifting. Today, mid-sized mining companies are emerging as some of the most agile and forward-thinking players in the industry when it comes to supply chain planning, digital tools, and operational transformation. Why? Because they're big enough to need it - and lean enough to do something about it. The Agility Advantage Mid-sized companies often have fewer layers of management, less bureaucracy, and more cohesive teams across operations, logistics, and finance. That translates into: Faster decision-making around technology investments and process changes Cross-functional alignment that's easier to achieve than in siloed enterprises Willingness to adopt best-of-breed tools , not just legacy ERP add-ons In short: mid-sized players can move quicker, pivot faster, and deploy smarter. Example: One regional mining company implemented an integrated planning solution across production, inventory, and transportation in less than six months - a timeline that would take a major global firm 12-18 months to even approve. The Pressure Is Real - and So Is the Opportunity Mid-sized mining companies often face the same external pressures as industry giants: Volatile commodity prices Rising transportation costs Remote operations with limited infrastructure Stricter ESG and reporting requirements But unlike their larger peers, they can't afford inefficiency. They feel the pain of poor planning sooner and more sharply. That urgency drives innovation. And while they may not have endless capital, they can prioritize high-impact digital initiatives - especially those with clear ROI, like inventory optimization, logistics alignment, and scenario-based planning. Callout: According to McKinsey, mid-tier mining companies that adopt integrated digital planning tools report 5-15% increases in throughput and 10-20% reductions in working capital within the first year. Digital Planning Levels the Playing Field The rise of cloud-based, scalable supply chain planning software has changed the game. Mid-sized companies no longer need massive infrastructure or bespoke development to unlock capabilities like: Multi-site inventory optimization Integrated demand and supply planning Dynamic logistics scheduling Real-time visibility and alerts These solutions are increasingly modular, user-friendly, and fast to deploy - which aligns perfectly with how mid-sized businesses operate. Insight: Planning software is no longer a luxury - it's a competitive necessity. And mid-sized companies that embrace it early gain an edge in both cost and customer responsiveness. Culture as a Catalyst Technology alone isn't what sets mid-sized companies apart - it's their mindset. The most successful teams: Treat planning as a strategic driver , not a back-office function Prioritize cross-department visibility and shared KPIs Invest in process ownership and training , not just tools Encourage continuous improvement , not one-time fixes This cultural alignment allows them to adopt new tools faster and use them more effectively. Conclusion Mid-sized mining companies are proving that innovation isn't about size - it's about speed, focus, and execution. With fewer barriers to change and a sharper eye on ROI, they're leading the industry in how to build supply chains that are smarter, faster, and more resilient. As the pace of disruption accelerates - from ESG pressures to market volatility - this segment of the industry is uniquely positioned to stay ahead. The question isn't whether they can compete with the big players. The question is whether the big players can catch up. Citations & SourcesMcKinsey & Company - How Mining Companies Can Build Resilience and Agility in Supply Chains Deloitte - Tracking the Trends in Mining 2023 BCG (Boston Consulting Group) - Digital Transformation in Mining: The Missing Link EY - Top 10 Business Risks and Opportunities for Mining and Metals in 2024 Gartner - Magic Quadrant for Supply Chain Planning Solutions Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Why Monthly Planning Cycles No Longer Work - neos by Argon & Co" source_url: "https://neosbyargonandco.com/why-monthly-planning-cycles-no-longer-work" page_path: "/why-monthly-planning-cycles-no-longer-work" page_type: "generic" crawled_at: "2026-09-23T13:52:10Z" content_changed_at: "2026-09-23T13:52:10Z" content_unchanged_days: 0 observed_days: 0 --- Why Monthly Planning Cycles No Longer Work - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Why Monthly Planning Cycles No Longer Work Diane Jordan September 27, 2025 For years, monthly planning cycles were considered best practice. They provided structure. They aligned teams. They gave organizations a predictable rhythm for reviewing demand, supply, inventory, and financial performance. For a long time, that cadence made sense - markets moved slower, lead times were more stable, and decisions didn't need to be revisited every few days. But the environment supply chains operate in today looks nothing like the one monthly planning was designed for. Volatility is no longer an exception. It is the baseline. Customer demand shifts faster. Supplier performance changes with little warning. Transportation constraints emerge overnight. Commodity prices swing weekly. Yet many organizations are still relying on a planning cadence that assumes the business will remain relatively unchanged for the next four weeks. That disconnect is at the heart of the problem. The Illusion of Control Monthly planning often creates a false sense of stability. Teams spend days - sometimes weeks - preparing forecasts, reconciling spreadsheets, and aligning assumptions so the plan can be "locked." Once finalized, the organization operates against that plan until the next cycle arrives. On paper, this feels disciplined. In reality, the plan begins drifting from the truth almost immediately. Within days, new orders arrive, suppliers miss commitments, production constraints shift, or inventory positions change. Planners see the issues, but the organization is often reluctant to adjust because the plan has already been approved. As a result, teams operate in two parallel worlds: the official plan and the real one they are firefighting every day . Over time, confidence erodes; not because people aren't capable, but because the planning process itself cannot keep pace with reality. Planning Cycles Were Built for Reporting, Not Decision-Making Another challenge with monthly planning is that it is often designed more for reporting than for action. The primary objective becomes explaining what happened last month instead of determining what should happen next. Meetings are filled with variance analysis, root cause discussions, and historical metrics. While those conversations have value, they rarely create the agility required to respond to what is unfolding now. By the time decisions are made, the situation has already changed. Modern supply chains require planning processes that are forward-looking, scenario-driven, and continuously updated - not retrospective exercises anchored to calendar dates. Complexity Has Outpaced the Calendar As organizations grow, planning complexity increases exponentially. More SKUs. More locations. More customer segments. More service-level commitments. Monthly cycles struggle under that weight. Planners are forced to simplify assumptions just to get a plan out the door. Scenarios are limited because running alternatives takes too long. Trade-offs between service, cost, and inventory are evaluated after the fact rather than before decisions are made. When planning becomes an exercise in speed instead of insight, the quality of decisions suffers - even if the process appears efficient on the surface. The Shift from Cycles to Continuous Planning This is why many organizations are rethinking the idea of fixed planning cycles altogether. Instead of planning once per month, leading companies are moving toward continuous planning - a model where plans are always current, scenarios can be evaluated quickly, and decisions are updated as conditions change. This doesn't mean chaos or constant reforecasting. It means having the ability to respond when it matters. A demand change triggers immediate visibility into supply and inventory impacts. A supplier disruption prompts rapid scenario evaluation. Financial implications can be understood before decisions are executed - not weeks later. Planning becomes a living process, not a monthly event. What This Means for Leaders Moving beyond monthly planning is not about abandoning discipline. It's about modernizing it. Leaders don't need more frequent meetings. They need faster insight. They need confidence that the plan reflects reality. And they need teams focused on decisions - not spreadsheet maintenance. The organizations that continue relying solely on monthly planning cycles often find themselves perpetually reacting. Those that evolve their planning approach gain something far more valuable: the ability to anticipate, adjust, and act with confidence. The question is no longer whether monthly planning still works. It's whether it's enough for the world your supply chain operates in today. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Why Planning Systems Break in Complex Supply Chains - neos by Argon & Co" source_url: "https://neosbyargonandco.com/why-planning-systems-break-in-complex-supply-chains" page_path: "/why-planning-systems-break-in-complex-supply-chains" page_type: "generic" crawled_at: "2026-09-23T13:52:14Z" content_changed_at: "2026-09-23T13:52:14Z" content_unchanged_days: 0 observed_days: 0 --- Why Planning Systems Break in Complex Supply Chains - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Why Planning Systems Break in Complex Supply Chains Diane Jordan April 27, 2026 Most planning systems do not fail because of technology. They fail because the environment they were designed for no longer exists. For years, planning systems were built around a relatively stable set of assumptions. Demand could be forecast with reasonable confidence. Supply variability was manageable. Product portfolios were more contained. Planning could happen in cycles, and execution would follow. That model worked when change was gradual. It starts to break when change becomes constant. Today, supply chains operate in a very different reality. Demand shifts more frequently and less predictably. Supply disruptions are no longer exceptions. Product portfolios are expanding, often with shorter lifecycles and more variability. At the same time, expectations around service, responsiveness, and availability continue to rise. Planning has not become less important in this environment. It has become more difficult. The System Was Built for a Different Speed At the core of most planning challenges is a simple mismatch. The business is operating in real time. The planning system is operating in intervals. Plans are created, reviewed, and updated on a schedule. But the conditions those plans are based on are already changing. By the time a plan is finalized, it is often partially outdated. This creates a growing gap between what the system says should happen and what is actually happening. At first, that gap is manageable. Teams adjust. They make small corrections. They compensate for inaccuracies. Over time, the gap widens. The plan becomes less of a guide and more of a reference point. Something to look at, but not something to rely on. When Trust Erodes, Workarounds Begin One of the clearest signs that a planning system is breaking down is not technical failure. It is behavioral. Teams begin to work around the system. They build their own spreadsheets. They maintain separate data sets. They rely on conversations, emails, and experience to make decisions instead of the plan itself. This does not happen because teams want to avoid the system. It happens because they no longer trust that it reflects reality. Demand planning may be working from one set of assumptions. Supply planning from another. Operations is reacting to what is happening on the ground. Each group is trying to do the right thing, but without a shared, trusted view, alignment becomes difficult. Planning becomes fragmented. And when planning is fragmented, execution becomes inconsistent. Complexity Is Not the Problem. Disconnection Is. It is easy to point to complexity as the root cause. More products. More locations. More variability. But complexity on its own is not what causes planning systems to break. The real issue is disconnection. Decisions that should be linked are made in isolation. Changes in one part of the supply chain are not fully understood in others. Tradeoffs between service, cost, and risk are made without full visibility. In a simpler environment, those gaps can be absorbed. In a complex one, they compound. A change in demand impacts supply. A supply issue impacts inventory. An inventory constraint impacts customer commitments. When those connections are not reflected in how planning works, the system cannot keep up with the reality of the business. From Plans to Decisions Many organizations still approach planning as the process of creating a plan. Forecasts are generated. Supply plans are built. Targets are set. But in complex supply chains, the value is not in the plan itself. It is in the ability to make better decisions as conditions change. That requires a shift in mindset. Planning is no longer a sequence of steps that ends with a plan. It is an ongoing process of evaluating options, understanding impact, and making tradeoffs. The question is not "What is the plan?" It is "What is the best decision, given what we know right now?" What Changes When Planning Works Differently When planning is aligned with the realities of a complex supply chain, the role it plays in the organization changes. It becomes less about producing outputs and more about enabling alignment. Teams are no longer working from disconnected views. They are operating from a shared understanding of the business. Decisions are made with awareness of downstream impact. Tradeoffs are visible and intentional. Instead of reacting to issues after they occur, organizations begin to anticipate them. Instead of reconciling conflicting plans, they are making coordinated decisions. The system is no longer something teams work around. It becomes something they rely on. Why This Shift Is Difficult If the need for change is clear, why do so many organizations struggle to make it? Because the challenge is not just technical. It is structural. Planning processes, organizational design, and even performance metrics are often built around the old model. Changing how planning works means changing how teams interact, how decisions are made, and how success is measured. It requires moving away from siloed ownership toward shared accountability. That is not a small shift. But it is a necessary one. Closing Thought Planning systems do not break all at once. They fall out of alignment over time as complexity increases and the environment changes. The organizations that recognize this are not abandoning planning. They are evolving it. Because in today's environment, planning is not about creating a static view of the future. It is about enabling better decisions, faster, in a world that does not stand still. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Why Product Complexity Breaks Pharma Planning | neos by Argon & Co" source_url: "https://neosbyargonandco.com/why-product-complexity-breaks-pharma-planning" page_path: "/why-product-complexity-breaks-pharma-planning" page_type: "generic" crawled_at: "2026-09-23T13:52:17Z" content_changed_at: "2026-09-23T13:52:17Z" content_unchanged_days: 0 observed_days: 0 --- Why Product Complexity Breaks Pharma Planning | neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Why Product Complexity Quietly Breaks Pharma Planning The hardest planning problems are often created not by scale, but by the relationships hidden beneath every product. Diane Jordan September 8, 2026 A pharmaceutical company does not need thousands of products to have a product-complexity problem. One therapy can quickly become multiple strengths, dosage forms, pack sizes, market-specific labels and regulatory configurations. Each variant may share some materials and production steps while diverging at others. On a product list, the portfolio can still look manageable. In the planning model, it has already become a web of dependencies. That complexity rarely arrives all at once. It accumulates quietly as the business launches into a new market, adds a contract manufacturer, introduces a different pack configuration or responds to a regulatory requirement. Each decision is reasonable in isolation. Together, they create more ways for demand, supply, inventory and capacity to fall out of alignment. The resulting planning problems are often misdiagnosed. Forecast accuracy appears to be the issue. Inventory seems too high. Service becomes inconsistent. Planners spend more time expediting, reconciling and explaining exceptions. Yet these are frequently symptoms of a deeper problem: the planning process cannot evaluate all the relationships that determine whether a product will actually be available where and when it is needed. One product is rarely one planning object In pharmaceutical supply chains, the commercial product is only the visible end of a much longer chain. A finished pack may depend on a common active ingredient, a shared intermediate, a specific production line, quality release, market authorization, packaging components and remaining shelf life. A delay at any point can affect several downstream products, but not necessarily in the same way or at the same time. This is what makes product complexity different from simple SKU proliferation. The challenge is not merely the number of items. It is the number of relationships among them. Shared materials create competition for constrained supply. Postponed packaging creates flexibility, but only if planners can see where inventory can still be redirected. Market-specific requirements limit substitution. Shelf-life rules turn time into a hard constraint. A plan that looks feasible at an aggregate level can break when those details are applied. The impact becomes especially visible when conditions change. A batch delay is not just a late order. It can change launch readiness, allocation priorities, inventory exposure and customer commitments across several markets. A demand increase in one country may consume supply intended for another. A packaging constraint may leave usable bulk product waiting while finished-goods availability deteriorates. The business needs to understand those consequences before choosing a response. Why familiar planning tools begin to fail ERP systems remain essential for recording transactions, managing inventory and tracking production. But product complexity creates a forward-looking decision problem. Planners must determine which dependencies matter, where risk will surface and how one choice changes the rest of the plan. Transactional visibility alone does not answer those questions. Spreadsheets often fill the gap because they give experienced planners room to apply judgment. Over time, however, the logic becomes distributed across files, functions and individuals. One planner understands the relationship between bulk inventory and country packs. Another knows which production constraint will matter first. A third maintains the assumptions behind launch demand. The process may continue to work, but it becomes harder to see the whole picture, evaluate alternatives consistently or respond at the speed the business requires. That is why product complexity can quietly break planning long before a dramatic failure occurs. The warning signs are usually operational: excess inventory and shortages coexist; feasible plans require repeated manual intervention; scenario analysis takes days; and small changes create disproportionate disruption. The organization has data, but not a dependable way to translate that data into coordinated decisions. The planning model must reflect the real product A stronger approach begins by representing the relationships that shape availability, not simply reproducing the item master in another system. Demand, supply, inventory and capacity need to be evaluated together, with enough product and market detail to expose meaningful constraints. Planners also need to test alternatives quickly: What happens if a batch slips? Which demand should receive constrained supply? Can available inventory be redirected? What is the service and expiry impact of each choice? This does not mean every pharmaceutical company needs the largest possible transformation. In fact, trying to model every exception at once can delay value and recreate complexity inside the implementation. The better path is to identify the product relationships and decisions that matter most, establish a credible planning foundation and expand from there. Kinaxis Planning One provides a practical path into advanced planning by bringing demand forecasting, supply planning, inventory optimization and scenario analysis into a common environment. For pharmaceutical organizations moving beyond spreadsheets or primarily transactional planning, that creates the ability to evaluate how a change moves across the plan rather than discovering the consequences function by function. Technology alone is not the answer. The model must reflect how the business actually plans, the data must be ready for the decisions it needs to support and planners must trust the outputs enough to use them. neos by Argon & Co combines Kinaxis implementation experience with supply chain planning, process design and operational expertise to help organizations build that foundation and move toward value without making the first step larger than it needs to be. Complexity should become visible before it becomes disruptive Product complexity is not inherently a problem. It enables market growth, patient choice and portfolio expansion. The risk appears when the planning process can no longer see how the pieces interact. Pharmaceutical companies do not need to eliminate complexity. They need to make it visible, evaluate its consequences and respond with confidence. When the planning model reflects the real relationships behind the product, teams can move beyond explaining what happened and begin shaping what happens next. Ready to make product complexity more manageable? Talk with neos by Argon & Co about a practical path to advanced pharmaceutical planning with Kinaxis Planning One. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Why Your Planning Problems Are a Maturity Issue, Not a People Problem - neos by Argon & Co" source_url: "https://neosbyargonandco.com/why-your-planning-problems-are-a-maturity-issue-not-a-people-problem" page_path: "/why-your-planning-problems-are-a-maturity-issue-not-a-people-problem" page_type: "generic" crawled_at: "2026-09-23T13:52:21Z" content_changed_at: "2026-09-23T13:52:21Z" content_unchanged_days: 0 observed_days: 0 --- Why Your Planning Problems Are a Maturity Issue, Not a People Problem - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Why Your Planning Problems Are a Maturity Issue, Not a People Problem Diane Jordan September 22, 2025 When planning struggles, the first reaction is often to look at the people involved. The forecast keeps changing. Meetings feel unproductive. The plan lacks credibility. At some point, frustration builds and leadership begins to wonder whether the organization has the right talent in place. It is an understandable response. Planning is visible. Decisions are scrutinized. And when results fall short, it feels natural to assume the issue lies with performance or accountability. In reality, that conclusion is rarely correct. In most organizations, planning problems are not the result of poor effort or weak capability. They are the result of a business that has outgrown the way it plans. What appears to be a people issue is far more often a maturity issue. When Capable Teams Struggle Supply chain planning teams are typically staffed with experienced professionals. They understand the business, the products, the customers, and the constraints. They work hard to keep plans moving despite constant change. Yet many of these same teams find themselves trapped in recurring cycles of rework. They spend significant time reconciling numbers between functions. They rebuild scenarios manually. They prepare multiple versions of the same plan to satisfy different stakeholders. Planning meetings become exercises in explanation rather than decision making. Over time, even strong teams begin to feel reactive. When this pattern persists, it can create the impression that something is wrong with the people. But when capable professionals consistently struggle in the same environment, the problem is rarely individual. It is structural. Understanding Planning Maturity Planning maturity is not defined by the complexity of models or the sophistication of tools. It is defined by how effectively an organization can make and execute decisions. Early stage planning is primarily transactional. The focus is on producing a forecast, building a plan, and reporting results. As organizations grow, planning must evolve. Complexity increases. Product portfolios expand. Supply networks stretch. Volatility becomes the norm rather than the exception. At this stage, planning is no longer about producing numbers. It is about evaluating options, understanding tradeoffs, and aligning decisions across functions. When planning processes do not mature alongside the business, tension emerges. The expectations placed on the planning team increase, but the environment in which they operate does not. The Gap Between Expectations and Capability One of the most common sources of frustration in planning organizations is the growing gap between what leadership expects and what the planning model can realistically support. Executives want faster answers. Finance wants clearer financial implications. Operations wants feasible plans. Commercial teams want flexibility. Planners are asked to provide insight in hours when the process was designed for weeks. To meet these expectations, teams compensate. They build workarounds. They create offline models. They rely on spreadsheets and manual analysis to bridge gaps the formal planning process cannot address. This effort often goes unseen. What leadership sees is slower decisions and inconsistent outputs. What planners experience is constant pressure without the tools or structure to respond effectively. This is not a performance issue. It is a maturity gap. When Maturity Gaps Become People Problems When maturity gaps persist, organizations often respond by increasing pressure. More reviews are added. More reports are requested. New metrics are introduced. In some cases, roles are redefined or individuals are replaced. Unfortunately, these actions rarely improve outcomes. Replacing people does not change the maturity of the planning environment. It simply resets the learning curve. The same issues resurface because the underlying structure remains unchanged. Over time, high performers become frustrated. Burnout increases. Institutional knowledge is lost. Confidence in the planning function erodes. What began as a maturity challenge becomes a talent retention problem. What Mature Planning Enables As planning maturity increases, the nature of work begins to change. Teams spend less time reconciling data and more time interpreting results. Scenario analysis becomes a standard part of decision making rather than an exception. Planning meetings focus on choices and tradeoffs instead of debating whose numbers are correct. Leadership gains confidence because decisions are grounded in transparency rather than explanation. Importantly, maturity does not eliminate uncertainty. It improves the organization's ability to respond to it. Planning becomes a capability that supports leadership rather than a process that struggles to keep up. Changing the Conversation The most productive shift organizations can make is reframing how they think about planning challenges. Instead of asking why the team is struggling, leaders should ask whether the planning approach has evolved at the same pace as the business. Growth, complexity, and volatility raise the bar over time. What once worked effectively may no longer be sufficient. Recognizing this is not an admission of failure. It is a sign of organizational awareness. Planning maturity is not a destination. It is a progression. The Bottom Line Most planning problems are not caused by a lack of talent. They occur when capable people are asked to operate within immature planning environments that no longer support the decisions the business needs to make. When organizations invest in evolving capability rather than assigning blame, planning begins to function differently. Teams regain confidence. Decisions improve. Collaboration strengthens. The question is not whether your people are capable. It is whether your planning maturity has kept pace with your business. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "You Have SAP IBP. So Why Are You Still Planning in Excel? - neos by Argon & Co" source_url: "https://neosbyargonandco.com/you-have-sap-ibp-so-why-are-you-still-planning-in-excel" page_path: "/you-have-sap-ibp-so-why-are-you-still-planning-in-excel" page_type: "generic" crawled_at: "2026-09-23T13:52:24Z" content_changed_at: "2026-09-23T13:52:24Z" content_unchanged_days: 0 observed_days: 0 --- You Have SAP IBP. So Why Are You Still Planning in Excel? - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read You Have SAP IBP. So Why Are You Still Planning in Excel? Diane Jordan September 14, 2025 SAP IBP was meant to put an end to spreadsheet driven planning. It promised cloud based workflows, cross functional alignment, scenario modeling, and tighter integration with your SAP environment. On paper, it checked every box. Yet many organizations find themselves asking the same frustrating question. Why is my team still exporting data to Excel every week? Despite the investment, training, and long implementation cycles, planning often feels no more agile or intuitive than before. In many cases, business users create workarounds just to keep decisions moving. Planning continues outside the system while IBP quietly runs in the background. This is not uncommon. And it is not a failure of your team. It is a signal that something deeper is missing. Let's explore why this happens, what it is costing your organization, and how leaders can address it. Excel Workarounds Are a Symptom, Not the Root Cause When planners return to Excel, it is rarely because they prefer spreadsheets. It is because the system does not support how decisions actually get made. Common frustrations we hear include: The system feels rigid, making quick changes difficult without technical support Navigation is complex and slows collaboration across functions Data is not always current or complete when decisions are needed Scenario analysis takes too long to build and compare Planning cycles feel more administrative than analytical In response, planners do what they have always done. They export the data and work offline where they can think freely. According to Gartner, 74 percent of supply chain professionals still rely on spreadsheets for core planning processes even after implementing enterprise planning tools. At first glance, this can sound like a technology failure. In reality, it points to something more nuanced. Most planning software does not fail because it lacks functionality. It struggles because it was not designed to support how decisions are actually made day to day. When planning tools function primarily as data repositories or reporting systems, teams still need somewhere to test assumptions, explore options, and understand tradeoffs. That work naturally falls back to Excel. IBP may exist in the system landscape, but spreadsheets often become the environment where decisions are shaped. This is exactly where advanced planning and scheduling tools play a critical role. When planning platforms are designed to support real time scenarios, constraint based logic, and cross functional decision making, they eliminate the need for offline analysis. Planners stay in the system because it enables thinking, not just reporting. The issue is not that planning technology does not work. It is that not all planning technology is built to enable decision making at the speed and complexity modern supply chains require. The Hidden Cost of Planning Outside the System When Excel becomes the true planning environment, risk quietly builds. Spreadsheets create: Conflicting assumptions across demand, supply, and finance Manual rework that consumes time and energy Delays as teams reconcile numbers instead of evaluating options Limited transparency for leadership No clear audit trail showing how decisions were made Over time, planning becomes slower rather than faster. Meetings focus on whose numbers are right instead of what actions should be taken. This fragmentation has real financial impact. McKinsey reports that organizations operating with disconnected or manual planning environments experience significantly higher working capital levels and more frequent supply and demand mismatches. The challenge is not visibility alone. It is decision confidence. When leaders do not trust the plan, execution suffers. This Is Not a User Issue. It Is a Design Issue. When planners default to Excel, it is often described as a change management problem. In reality, it is usually a design problem. Planning systems must support the way planners think and work. That includes the ability to: Test assumptions quickly Compare multiple options side by side Understand tradeoffs across service, cost, and capacity Collaborate easily with finance and operations Reach decisions without technical bottlenecks SAP IBP is powerful, but it is built around structured data models and predefined workflows. That rigidity can make it difficult for business users to respond quickly when conditions change. As a result, planners turn to tools that give them speed and flexibility, even if those tools introduce risk. Excel remains familiar not because it is ideal, but because it allows people to think. What a Better Planning Experience Looks Like The answer is not to replace your ERP or discard your existing investment. The better question is this. What role should IBP play, and what capabilities are still missing? Modern planning environments are designed to complement ERP systems rather than compete with them. They focus on enabling decisions, not just managing data. A stronger planning experience typically includes: Real time visibility across demand, supply, inventory, and capacity Constraint aware scenarios that reflect how the business actually operates Business led modeling without heavy reliance on IT Cross functional collaboration using one shared set of numbers A clear path for decisions to flow back into ERP for execution When planning systems are intuitive and responsive, the need for shadow spreadsheets disappears naturally. Planners stay in the system because it helps them do their jobs better. Conclusion: If Planning Lives in Excel, the System Is Sending You a Message If your organization is still planning in Excel after implementing SAP IBP, it is not a failure. It is feedback. It signals that the planning environment is not delivering the agility, usability, or decision support your business now expects. No amount of training will turn a rigid system into a flexible one. And no amount of customization will change how people naturally think through decisions. At Scott Sheldon, we help organizations preserve the value of their SAP environment while strengthening the planning capabilities needed to support growth, volatility, and faster decision making. If your planners are still living in spreadsheets, it may be time to rethink how planning is enabled. Because when planning happens outside the system, the system is not truly working. Sources Gartner, The 2023 Supply Chain Technology User Survey McKinsey, Risk, Resilience, and Rebalancing in Global Supply Chains, 2023 Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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Main Content Navigation Footer Reset Settings About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co About Services Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events Industries Tech Partners Contact Argon & Co --- --- title: "Your Supply Chain Should Run Like a Pit Crew - Here's Why - neos by Argon & Co" source_url: "https://neosbyargonandco.com/your-supply-chain-should-run-like-a-pit-crew-heres-why" page_path: "/your-supply-chain-should-run-like-a-pit-crew-heres-why" page_type: "generic" crawled_at: "2026-09-23T13:52:28Z" content_changed_at: "2026-09-23T13:52:28Z" content_unchanged_days: 0 observed_days: 0 --- Your Supply Chain Should Run Like a Pit Crew - Here's Why - neos by Argon & Co Skip to content About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners About SERVICES Planning Logistics Manufacturing Procurement News & Insights Blogs Whitepapers Events INDUSTRIES Tech Partners Contact US Argon & Co 0 Minute read Your Supply Chain Should Run Like a Pit Crew - Here's Why Diane Jordan August 16, 2026 In racing, winning isn't about who drives fastest - it's about who can adapt fastest. Nowhere is this more obvious than in the pit stop, where seconds can win or lose a race . Pit crews operate with total synchronization, real-time communication, and flawless execution. Every move matters. Supply chains should be no different. Yet many are still stuck planning in silos - and losing valuable time, money, and opportunity. Part 1: The Problem with Sequential Supply Chain Planning Traditional supply chains work in a relay race format: Demand forecasts pass to supply planning -> passed to production -> then to logistics and finance. Each handoff introduces delays, errors, and disconnects. By the time the full plan is formed, the market has changed. The result: missed orders, excess inventory, firefighting, and lost revenue. Part 2: The Pit Crew Model - A Lesson in Concurrent Planning During a pit stop: Tire changers, fuelers, wing adjusters all work at the same time. The driver and crew chief communicate in real time. Sensors and data provide instant feedback. The entire team adapts to any changes, instantly. In supply chain concurrent planning: Sales, supply, production, logistics, and finance all collaborate in real time. Data updates instantly across functions. Scenario planning enables proactive decision-making. Adjustments are synchronized to avoid downstream chaos. Part 3: Why Concurrent Planning Wins - Beyond Just Speed Agility -> Respond faster to disruptions and demand shifts. Alignment -> Break silos and ensure all teams are working toward the same goals. Accuracy -> Use real-time data to make decisions based on current reality. Resilience -> Navigate disruptions without blowing up the plan. Customer Satisfaction -> Meet delivery expectations and improve reliability. Part 4: Becoming a Pit Crew-Ready Supply Chain Winning races (and markets) requires preparation and the right tools: Upgrade your data flow: Ensure real-time integration across systems Align teams and roles: Define clear decision-making processes Implement scenario planning: Test options before committing Foster a collaborative culture: Encourage cross-functional visibility and teamwork Choose the right technology partner: Concurrent planning platforms make this possible Conclusion: Just like racing, supply chain success today depends on speed, precision, and teamwork. Concurrent planning transforms supply chains from reactive and siloed to agile and aligned - giving you the competitive edge to stay ahead of disruption and win your market. Is your supply chain stuck in sequential pit stops - or ready to run like a winning team? Let's start the conversation about how concurrent planning can help you shift gears. Let's build a smarter, more resilient supply chain together. Contact Us NAVIGATE About Services News & Insights About Services News & Insights Industries Tech Partners Contact Industries Tech Partners Contact CONNECT LINKEDIN (c) 2026 NEOS. All rights reserved. PRIVACY POLICY English English Deutsch Espaol Franais Italiano Polski Svenska Suomi Portugus Romn Slovenina Slovenina Nederlands Dansk etina Magyar Lietuvi Latvieu Eesti Hrvatski Gaeilge Norsk Trke Bahasa Indonesia Portugus (Brasil) Srpski English (UK) Vit Nam Accessibility Adjustments Powered by OneTap Hide Toolbar Back How long do you want to hide the toolbar? 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