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If Your AI Stops When One Employee Goes on Holiday, You Have Not Adopted AI
I have spent the past few years exploring how artificial intelligence could support supply-chain work. I remain convinced that the opportunity is significant. I have seen people automate repetitive tasks, accelerate analysis and find better ways to work with information that previously required hours of manual effort. But I have also learned something less comfortable:… Continue reading
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We Do Not Need a Self-Driving Supply Chain. We Need a Faster Decision System.
After the summer holidays, I am returning to my work with renewed energy and a long list of ideas I want to explore. A break creates useful distance. It allows us to step away from the daily stream of meetings, exceptions, dashboards and urgent requests and ask a more fundamental question: Are we improving the… Continue reading
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AI for Supply Chain Compliance: How Companies Can Manage Forced Labor, Tariffs, and Supplier Transparency
Supply chain compliance is becoming one of the most important business risks of the next decade. For many years, companies treated compliance as a back-office function. It was something handled by legal, trade compliance, procurement, or sustainability teams after sourcing decisions were already made. The focus was often documentation, audits, certificates, and supplier declarations. That… Continue reading
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Cargo Theft, Route Risk, and AI: The New Security Layer in Supply Chain Execution
Supply chain risk is no longer only about late deliveries, missing components, port congestion, or supplier shortages. A growing risk is moving through the network itself: cargo theft. For many companies, cargo theft is still treated as a logistics or insurance issue. A truck is stolen. A shipment disappears. A claim is opened. Security procedures… Continue reading
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Tariffs, Freight Rates, and AI: Why Supply Chains Need Real-Time Scenario Planning
Supply chains are entering another period where uncertainty is not the exception. It is the operating environment. In the last few years, companies have learned to manage pandemic disruption, port congestion, semiconductor shortages, geopolitical shocks, energy volatility, inflation, labor constraints, and shifting customer behavior. Yet many planning processes still operate as if the world changes… Continue reading
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AI Will Not Fix Broken Planning: Why Supply Chains Must Rethink Decisions Before Deploying Agents
Artificial intelligence is moving quickly into supply chain conversations. Every week, new discussions emerge about AI agents, copilots, autonomous planning, digital twins, predictive analytics, and intelligent control towers. The promise is attractive: faster decisions, fewer manual tasks, better forecasts, improved service levels, lower inventory, and more resilient operations. But there is a risk hidden behind… Continue reading
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From Autonomous Agents to Accountable Supply Chains: Why Human-Governed Agentic AI Will Define the Next Planning Era
Supply chains have spent the last decade becoming more digital, more connected, and more data-driven. Yet many planning decisions still depend on manual coordination, fragmented spreadsheets, delayed system updates, and the experience of a few key people who understand the hidden logic behind operations. Demand planners, supply planners, procurement teams, logistics coordinators, and customer delivery… Continue reading
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Putting AI into Practice: Building Intelligent Supply Chains
Artificial intelligence (AI) promises to transform supply chains, but as Lora Cecere warns, it should not be treated as ‘AI lipstick’ on top of outdated ERP systems and spreadsheet‑driven processes. Rather than chasing shiny tools, organisations need to rethink how they plan, orchestrate and govern decisions. Surveys show that many digital transformation efforts still deliver… Continue reading
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AI Agents and the Future of Supply Chain Response: Why Visibility Alone Is No Longer Enough
AI Summary Supply chains are becoming too volatile for traditional response models. AI agents are emerging as a new operational layer capable of continuously monitoring supplier disruptions, lead time instability, and pricing volatility. The organizations that outperform competitors in the next decade may not be those with the most dashboards, but those capable of responding… Continue reading
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Multi‑Agent Supply Chains: From Vision to Action
From Models to Ecosystems: The Rise of Multi‑Agent Supply Chains For years, AI initiatives in supply chains were confined to isolated models. Forecasting engines crunched demand data, route optimizers considered transportation options, and inventory systems balanced stock levels – each working in its own silo. This is changing. A new generation of multi‑agent systems is… Continue reading
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AI in the Chain 