Agentic AI In Supply Chain

Agentic coding and the future of supply chain leadership

Monday, June 1, 2026 · Vincent E. Castillo, Ph.D., The Ohio State University, and Abhinav “Sunny” Hasija, Ph.D., Grand Valley State University
AI coding agents are enabling supply chain leaders to rapidly prototype decision-support tools and operational systems, shifting innovation from IT-led development to business-led experimentation while increasing the need for disciplined testing, governance, and collaboration.

Shattering the AI pilot trap

Monday, March 9, 2026 · Brian Straight
While enthusiasm for generative AI in supply chains is high, most companies remain trapped in pilot programs because successful deployment requires workflow-level problem definition, embedded agents, and disciplined governance rather than simply applying new AI models.

How autonomous fulfillment is rewriting the rules of supply chain execution

Thursday, January 8, 2026 · Patricia Riedl and Paras Mehta
Autonomous fulfillment is transforming U.S. and global supply chains by connecting AI, robotics, digital twins, and agentic systems to execute orders faster, more accurately, and more resiliently amid labor shortages, cost pressure, and rising customer expectations.
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