Agentic AI in Supply Chain Planning: From Optimization to Autonomous Action

The proliferation of systemic volatility has stretched the capabilities of traditional Advanced Planning Systems which, despite their optimization power, were not designed for today’s highly dynamic and data-rich environment. This article posits that agentic artificial intelligence represents the next evolutionary step, shifting the paradigm from human-led optimization to AI-driven autonomous action. I present a practitioner’s guide for successful implementation, including a strategic matrix to help leaders select high-value use cases and validate genuine agentic capabilities. I also discuss how the role of the Supply Chain Planner must evolve from system operator to a strategic conductor of an AI-powered ...