• December 14, 2025

    Exception Management Is Broken — AI Can Fix It

    Exception management was once seen as a strength in supply chain operations. The ability to spot a disruption, escalate it, and react quickly was a badge of honor. Dedicated teams were set up to monitor late shipments, expedite orders, rework plans, and recover from the unexpected. But today, exception management is broken. What used to Continue reading

    AI in Supply Chain
    ai, artificial-intelligence, business, supply-chain, technology
  • December 14, 2025

    Customer Promise vs. Supply Reality: How AI Improves Delivery Commitments

    For decades, delivery commitments in supply chains were treated primarily as commercial agreements. Sales teams negotiated dates with customers, planning teams attempted to make them feasible, and operations teams absorbed the consequences when reality failed to align with the promise. This model functioned reasonably well in a world of stable demand, predictable lead times, and Continue reading

    AI in Supply Chain
    ai, artificial-intelligence, business, supply-chain, technology
  • December 13, 2025

    The Cost-to-Serve Opportunity: Why Supply Chains Lose Profit Without Seeing It

    Why growth and profitability increasingly diverge Many supply chains appear successful on the surface. Volumes grow, revenue increases, service levels remain acceptable, and operations teams stay busy. Yet margins stagnate, working capital rises, and every planning cycle feels harder than the last. This contradiction is not accidental. It is structural. Across industries, companies have learned Continue reading

    AI Supply Chain
    ai, artificial-intelligence, business, supply-chain, technology
  • December 13, 2025

    From Firefighting to Decision Ownership: How AI Helps Supply Chains Escape Permanent Crisis Mode

    Why most supply chains are stuck reacting instead of deciding Ask almost any supply chain team how their week went, and you will hear the same answer: firefighting. Expediting late orders, resolving shortages, managing escalations, responding to disruptions, and explaining misses. Firefighting has become normalized. It is often even rewarded. The best firefighters are seen Continue reading

    AI Supply Chain
    ai, artificial-intelligence, business, chatgpt, technology
  • December 13, 2025

    Why Most AI Supply Chain Projects Fail — And How to Get Them Right

    Why technology is rarely the real problem AI is now firmly on the agenda of most supply chain organizations. Forecasting, inventory optimization, transport planning, risk sensing, and control towers are all marketed as AI-powered solutions. Yet despite the investment and attention, a large share of AI initiatives fail to deliver sustainable impact. The reason is Continue reading

    AI in Supply Chain
    ai, artificial-intelligence, business, digital-marketing, technology
  • December 13, 2025

    Efficiency Is No Longer Enough: Why Resilience Now Defines Supply Chain Performance

    Why the old efficiency-first mindset is breaking under permanent volatility For decades, supply chain excellence was defined by efficiency. Lower unit costs, lean inventories, optimized utilization, and global scale were the gold standard. The most efficient supply chains won. That model no longer holds. Today’s operating environment is shaped by permanent volatility. Climate disruptions, geopolitical Continue reading

    AI in Supply Chain
    ai, artificial-intelligence, business, supply-chain, technology
  • December 13, 2025

    Tariffs Are the New Normal: How AI Helps Supply Chains Adapt Without Overreacting

    Why tariffs are no longer temporary disruptions but a structural feature of global trade For decades, tariffs were treated as short-term political tools. Companies assumed they would be negotiated away, softened through exemptions, or reversed after elections. That assumption no longer holds. Tariffs have become a permanent feature of global trade. They now span geopolitical Continue reading

    AI in Supply Chain, AI, Machine Learning, Supply Chain
    china, economy, politics, tariffs, trump
  • December 13, 2025

    China’s Trade Surplus Is Not the Real Risk — Static Supply Chains Are

    What AI-driven network rebalancing teaches us about the next phase of global trade China’s record-breaking trade surplus has reignited familiar debates about global imbalances, tariffs, and decoupling. Headlines focus on geopolitics, industrial policy, and trade retaliation. But for supply chain leaders, the real signal lies elsewhere. The problem is not that China exports too much. Continue reading

    AI in Supply Chain
    business, china, economy, politics, technology
  • November 7, 2025

    Pattern Recognition: The Unsung Hero Skill in AI-Driven Supply Chains

    Behind every predictive model or AI algorithm is a human who interprets and acts on the output. In supply chain management, the ability to recognise patterns—across time, geography, products, and people—is an underrated skill. Lora Cecere calls pattern recognition the “ape for the unsung supply chain hero.” She argues that a supply chain leader’s success Continue reading

    Uncategorized
  • November 6, 2025

    Unmasking the Myth of Orchestration: Governance, Digital Twins and Real-World Alignment

    The supply chain world loves buzzwords. “Orchestration” has recently become one of the most overused terms, often implying seamless end-to-end coordination through AI. Yet as Lora Cecere points out in her blog post “The Orchestration Shuffle,” the term often masks vague strategies and poor governance. In many cases, companies try to orchestrate processes without clear Continue reading

    Uncategorized
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About Me

Join me in shaping a resilient, agile, and intelligent future for supply chain management. With over 25 years of experience and a deep focus on AI in supply chain management since 2017, I am committed to revolutionizing logistics by tackling critical challenges such as vehicle routing and operational efficiency

AI is driving a new era in supply chain management, unlocking unprecedented opportunities while many organizations are still navigating the best ways to implement it. For instance, AI can optimize safety stock levels, reorder points, order intervals, and min-max levels—laying a strong foundation for efficient execution. Additionally, reinforcement learning enables drones to identify warehouse racks, pallets, and cases, allowing for faster and more accurate barcode scanning.

Let’s explore how AI is transforming supply chains, driving smarter, more sustainable operations for the future.

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Recent Posts

  • Organizational Speed vs Algorithmic Speed – The New Bottleneck
  • The Silent Risk No One Models: Decision Latency
  • From Forecast Accuracy to Decision Accuracy: The Next KPI Shift in Supply Chains
  • Why Most AI Supply Chain Transformations Fail at the Operating Model Level
  • How AI Is Redesigning Global Supply Chain Decision-Making in 2025

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Recent Posts

  • Organizational Speed vs Algorithmic Speed – The New Bottleneck
  • The Silent Risk No One Models: Decision Latency
  • From Forecast Accuracy to Decision Accuracy: The Next KPI Shift in Supply Chains

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