Insights

Agentic AI in the Warehouse: What It Is, What It Isn't, and What to Ask

Every WMS vendor in the market is talking about agentic AI right now. Very few are talking about what it actually means, how it works on the warehouse floor, or which architectural choices decide whether it delivers real operational value. This brief gives buyers a clear-eyed view of agentic AI in the warehouse, including how to tell the difference between AI that runs your operation and AI that only comments on it.

What You Can Learn

  • What agentic AI actually means in a warehouse and how to tell the difference between AI that runs your operation and AI that only comments on it.
  • Why the architecture underneath the AI matters more than the AI itself, and why the WMS decision you make now is the architecture you will live with for the next decade.
  • What separates agents that run inside the WMS from agents that sit on top of it, including the differences in execution speed, governance, auditability, and how outcomes compound over time.
  • Real-world examples of agents already running in production, including the categories of work they take on today (wave rebalancing, labor allocation, operator assistance) and how buyers should think about extending a WMS platform with custom agents.
  • The four questions to ask every WMS vendor claiming agentic AI, so you can separate the vendors who have agents in their WMS from the vendors who have AI on top of it.
Download the Brief

Everything Works Better with Manhattan Solutions

Manhattan offers a complete breadth of solutions that, when unified, provides total coverage for your supply chain commerce needs.

Warehouse Management

Control demand, supply, labor, and automation across your entire network with ActiveWarehouse™, Manhattan's cloud-native warehouse management solution.

ActiveAgents™

Native AI agents built into every Manhattan Active® solution, governed by the platform, and traceable through the same audit logs as the rest of the system.

Agent Foundry™

Extend the platform to fit your operation. Build custom agents on the same architecture, governance, and audit model Manhattan's native agents run on.