• October 4, 2025

    Generative‑AI Co‑Pilots for Supply Chain Professionals: Individual vs Enterprise Use Cases

    Context Generative‑AI co‑pilots are conversational assistants built on large‑language models that can interpret natural language prompts and carry out tasks such as data analysis, document generation and decision support. Unlike traditional chatbots that follow scripts, co‑pilots can reason through complex problems, retrieve data from integrated systems and propose actions. In supply‑chain management, early applications include Continue reading

    AI in Supply Chain
    co-pilots, generative ai, logistics optimisation, procurement bots, risk management, supply chain planning
  • October 4, 2025

    Building an AI-Ready Supply Chain: Practical Steps for 2025–2026

    Context Many supply chains were designed for a world of predictable demand, long lead times and siloed information. Today’s world is the opposite: demand swings wildly, disruptions occur regularly and data is scattered across spreadsheets, ERP systems and external partners. According to reports from the logistics technology firm FourKites, companies with disconnected systems experience up Continue reading

    AI in Supply Chain
    AI readiness, data integration, digital twin, generative ai, supply chain resilience, supply chain transformation
  • October 4, 2025

    Agentic AI in Supply Chain: From Promise to Practice

    Context Agentic AI is the term used to describe AI systems that can act autonomously on behalf of a user or business. Instead of simply answering questions or providing data, an agentic model can interpret an objective, break it into tasks, call the necessary tools and complete the job with little human involvement. In supply Continue reading

    AI in Supply Chain
    agentic ai, ai agent, digital twin, generative ai, supply chain automation, supply chain resilience
  • August 25, 2025

    Graph Intelligence: Using Federated GNNs to Rebuild Supply Chain Visibility

    Introduction Supply chain leaders have long battled the challenge of visibility. From hidden tier-2 suppliers to fragmented logistics networks, companies often fly blind when disruptions strike. Traditional dashboards can’t capture the complexity of global networks, and centralized data sharing raises red flags around privacy, trust, and competitive risk.Enter Federated Graph Neural Networks (GNNs) — a Continue reading

    AI in Supply Chain, AI Supply Chain, AI, Machine Learning, Supply Chain
    ai, artificial-intelligence, business, supply-chain, technology
  • August 2, 2025

    Agentic AI: From Chatbots to Autonomous Co‑Workers in the Supply Chain

    Explore how agentic AI is transforming supply chains from simple chatbots to autonomous co‑workers. This article covers real‑world examples, benefits and barriers, practical strategy guidelines and a sources section for further reading. Continue reading

    AI in Supply Chain, AI Supply Chain, AI, Machine Learning, Supply Chain, Demand forecasting
  • August 2, 2025

    Five AI Innovations Transforming Logistics: From Advanced Analytics to Audio AI

    By AI in the Chain Editorial Team – August 2025 Introduction Supply chains have always been about moving goods and information, but in 2025 that information is increasingly being generated, processed and acted on by artificial intelligence (AI). A decade of disruptive events – pandemics, geopolitical tensions, climate shocks and e‑commerce surges – has forced logisticians to rethink their Continue reading

    Uncategorized
  • July 28, 2025

    10 AI Tools That Will Replace 1,000 Hours in Supply Chain Operations

    AI in supply chains is no longer about theoretical efficiency gains or experimental pilots. It’s about something tangible: reclaiming thousands of hours from repetitive, low-value work and redeploying that time toward higher-impact decisions. Lora Cecere’s research consistently emphasizes that the most successful AI projects are grounded in narrow AI applications—targeted tools that directly improve sensing, Continue reading

    AI in Supply Chain, AI Supply Chain
    ai, artificial-intelligence, business, digital-marketing, technology
  • July 28, 2025

    This Is What an AI-Native Supply Chain Looks Like: A Day

    At 6:00 AM, the AI-native supply chain is already awake. In fact, it never slept. While planners were off duty, the system monitored supplier feeds, geopolitical alerts, weather disruptions, and demand anomalies. It reprioritized shipments, rerouted containers, and recalculated capacity constraints in real time. By the time human teams log in, the day’s supply chain Continue reading

    AI in Supply Chain, AI Supply Chain
    ai, artificial-intelligence, business, supply-chain, technology
  • July 27, 2025

    The Silent AI Crisis in Supply Chains: Are You Already Falling Behind?

    AI is infiltrating every layer of the supply chain. From predictive forecasting and risk detection to intelligent inventory planning and supplier insights, it’s hard to find a process untouched by the promise of artificial intelligence. But beneath the surface of this technological momentum lies a quiet and dangerous truth: most supply chain organizations are not Continue reading

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

    Redesigning the Supply Chain for the Human Factor: A 2025 Perspective

    In the age of artificial intelligence, most conversations about supply chain transformation tend to focus on automation, robotics, and digital twins. Yet, a growing school of thought emphasizes that the most overlooked lever for breakthrough performance is not more algorithms—but more empathy. Lora Cecere’s latest article, “Reinventing Supply Chains: Focus on Human Factors,” highlights a Continue reading

    AI in Supply Chain, AI Supply Chain, AI, Machine Learning, Supply Chain
    ai, artificial-intelligence, business, chatgpt, technology
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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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  • 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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