A company’s AI-driven operations system anticipated a hurricane four days out, repositioning inventory, rerouting shipments, and staging essentials so stores stayed stocked while competitors scrambled. The episode explains how AI combines visibility, prediction, and continuous optimization to transform supply chains, production, logistics, and maintenance.

Guests unpack the technical and data challenges, real-time, distributed, high-volume streams, and the maturity of use cases from forecasting to predictive maintenance. They also explore risks like over-optimization, surveillance, and shifting workforce roles.

Practical takeaways focus on integration, governance, and human-centered design: build reliable data streams, lock in safety and worker welfare as hard constraints, and keep humans in oversight and novel-decision roles so intelligent operations are both effective and humane.

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