For years, supply chains have relied on forecasts, dashboards, and human planners to make daily decisions across inventory, routing, sourcing, and returns. As systems grow more complex and conditions change faster, this approach no longer scales.

This session looks at how enterprises are moving beyond decision support tools toward autonomous systems that can plan and execute supply chain actions in real time while remaining controlled and accountable. Based on real production experience, the talk explores how modern decision systems combine optimization, simulation, and language models to reduce manual planning and handle operational exceptions more effectively.

The focus is not on prediction accuracy, but on how decisions are made, governed, and reviewed. The session explains how boundaries, policies, and audit mechanisms allow organizations to trust autonomous decisions without losing visibility or oversight.

Attendees will leave with a clear understanding of what it takes to introduce autonomy into core supply chain workflows and where human judgment remains essential as these systems mature.