Self-Driving Supply Chain: 5 Steps to Building Your Agentic AI Workforce

By Deborah Dull

"We just don't have the people."

If you've spent any time in supply chain, you've heard this refrain. The annual demand to cut costs while handling more complexity. The technology implementations that take years and still leave your team living in spreadsheets. The constant squeeze that makes retaining talented employees feel impossible.

What if you could hire a workforce that changes everything?

The convergence of large language models, transformer neural networks, and purpose-built AI hardware has made the "self-driving supply chain" possible. And not as a distant dream, but as a practical reality you can implement today. But here's what most AI books get wrong: this isn't about buying software. It's about hiring digital colleagues who work alongside your human team.

Self-Driving Supply Chain provides a comprehensive, step-by-step framework for building your agentic workforce:

STEP 1: PREPARE Understand the innovations that built today's AI capabilities, from the Turing Machine to large language models. Master the seven paradigm shifts that separate organizations who succeed with AI from those who struggle. Learn the SCOR DS framework that gives you shared language for your transformation.

STEP 2: HIRE Define requirements for your AI agents just like you would for human employees. Articulate expected benefits across savings, improvements, and outcomes. Evaluate your options from embedded AI to full agentic workforce solutions. Negotiate terms that protect your interests and align costs with value.

STEP 3: ONBOARD Prepare your team, systems, and organizational knowledge. Configure your agents with goals, tools, training, and appropriate autonomy. Optimize continuously through adjustments, refinements, and expansions.

STEP 4: MANAGE Set expectations that create alignment across your hybrid workforce. Supervise both AI agents and human team members effectively. Make corrections through feedback, retraining, and parameter adjustments.

STEP 5: RESKILL Navigate external changes like regulations and market shifts. Adapt to internal changes in strategy and organization. Respond to technical changes in platforms and data sources. Evolve as the professional you're becoming.

What makes this book different:

Practical, not theoretical. Written by a supply chain practitioner for supply chain professionals, with real examples and actionable guidanceHuman-centered approach. Treats AI implementation as a workforce transformation, not just a technology projectFramework you can follow. Clear steps, phases, and activities organized so you know exactly what to do nextAccessible explanations. AI concepts explained in plain language with supply chain examples (no PhD required)Future-focused. Addresses not just implementation but ongoing management and evolution of your agentic workforce

Perfect for:

Supply chain leaders seeking competitive advantage through AIOperations professionals navigating digital transformationProcurement, logistics, planning, and fulfillment managers exploring automationExecutives evaluating AI investments for their organizationsAnyone tired of hearing "do more with less" without being given the tools to actually do it

The self-driving supply chain isn't science fiction It's a problem-solving challenge we now have the tools to tackle. This book shows you how.

Your colleagues in the cloud are waiting. It's time to start hiring.

• Format: Paperback
• Language: English
• ISBN: B0GKG7P6MV
• ISBN13: 9798244935394
• Release Date: January 2026
• Publisher: Independently Published
• Length: 210 Pages
• Weight: 0.55 lbs.
• Dimensions: 0.4" x 5.5" x 8.5"