Demo Series: Warehouse Mangement
|Inside the Agentic Warehouse: One Morning, Three Agents, Zero Fire Drills
Join us for a firsthand look at how ActiveWarehouse from Manhattan puts agentic AI to work inside real warehouse execution. Follow one realistic shift, from wave planning to labor balancing to shipment risk, and see how embedded agents help teams prevent problems earlier and protect customer commitments — without the latency or governance trade-offs of AI bolted onto the WMS from outside it.
What you'll see
- Wave Coordinator, Labor, and Shipping Supervisor Agents in action as they help teams detect issues upstream, rebalance execution during the shift, and intervene before shipment risk turns into service failure
- How agentic AI works in a human-supervised operating model, where recommendations are transparent, grounded in live operational context, and reviewed by supervisors before execution
- How Manhattan extends this approach through Agent Foundry, enabling organizations to build custom agents for their own operations on the same platform foundation, governance model, and execution architecture as Manhattan’s native agents
