Supply Chains Reimagined: AI Techniques for Operations Managers

You were handed a mandate to "e;do something with AI"e; in your supply chain — and no roadmap, no data scientist, and no clear starting point. This book is the roadmap. Supply Chains Reimagined is the practical, jargon-free guide for operations managers who need to implement AI in their supply chains without becoming data scientists. Unlike academic AI supply chain texts written for engineers, this book is built entirely for the practitioner: the operations professional who owns fill rates, manages S&OP cycles, and is accountable for results — and who now needs to lead an AI transformation on top of all of it. The MAPS Framework (Map, Assess, Pilot, Scale) structures every chapter, giving operations managers a repeatable decision architecture for every AI use case they will face. Real case studies from Amazon, Walmart, DHL, UPS, Unilever, and Albertsons ground every concept in documented operational reality. - Audit your supply chain functions and identify the highest-ROI AI starting point using the AI Opportunity Matrix- Build a demand sensing pilot that produces measurable MAPE improvement within 90 days- Optimize inventory safety stock and reorder points using AI-driven dynamic models- Deploy AI spend analysis and contract intelligence that recovers value hidden in supplier agreements- Implement route optimization and predictive ETA systems with the documented ROI framework used by the world's largest logistics operators- Build a supplier risk monitoring dashboard that detects financial distress signals 90-180 days before supplier failure- Construct a supply chain control tower that integrates all AI capabilities into a single real-time operational picture- Design agentic AI deployments with the governance framework that keeps managers in control- Lead your team through AI adoption using a phased change management playbook built around the four resistance types that derail most implementations- Execute a 90-day roadmap from first pilot to first scale deployment, with the MAPS Scorecard to track maturity over time The frameworks in this book are designed to outlast the tools. As AI technology continues to evolve, the decision architecture, pilot design, governance principles, and change management approach in these pages remain applicable — because they are grounded in how operations work, not in how any specific platform works. For mid-career supply chain and operations managers who need to lead AI adoption and want a practical, accountable framework to do it right. Scroll up and grab your roadmap. Your supply chain is ready to be reimagined.