Warehouse operations have spent the past decade moving from mechanization to automation. Generative AI and agentic AI promise a further step: systems that draft procedures, answer questions about operational data in plain language, and increasingly take action on their own – rerouting orders, resolving exceptions, and rebalancing inventory. Industry claims about these technologies are running ahead of the evidence. Many organizations report advanced adoption; far fewer can document what it has delivered.
This roundtable brings together senior leaders from shippers, third-party logistics providers, and warehouse operators for a day and a half of structured discussion on three questions: where generative and agentic AI deliver measurable value in warehouse operations today, where they remain experimental, and what it takes to move from pilot to production. The roundtable is hosted by the MIT Center for Transportation & Logistics (MIT CTL) and facilitated by Dr. Matthias Winkenbach and Dr. Selene Silvestri of the MIT Intelligent Logistics Systems Lab.
Discussions are anchored in new research conducted in partnership with Mecalux: the 2026 MIT–Mecalux global survey of nearly 2,000 warehouse and logistics leaders, and an MIT CTL white paper on digital twins for intelligent logistics systems. Day 1 focuses on what is working in practice today. Day 2 looks ahead to agentic AI and to the technical, organizational, and governance conditions for scaling it.
Tuesday, November 17, 2026
The roundtable will run from 12:00 p.m. to 5:00 p.m., followed by a reception.
Wednesday, November 17, 2026
The roundtable will run from 8:30 a.m. to 12:00 p.m.
Times are subject to change.
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Registration Note: This event is exclusively for members of the MIT CTL Supply Chain Exchange and invited guests. Please register using your work email to confirm eligibility. Upon registering, you will receive a “pending approval” status. Your request will be reviewed, and you will receive a confirmation email once approved.
If your company is not a partner, learn more about becoming one here.
