From Manhattan Active to AI Agent Foundry: Get Started

About This Guide

Where Agent Foundry Gets Interesting for Existing Manhattan Customers

For an existing Manhattan Active customer, the opportunity isn’t necessarily replacing an existing, stable workflow with an AI agent. In many cases, the more interesting opportunity is the gap between the system’s standard capabilities and the daily decisions people still make manually.

A supervisor deciding which exception to investigate first. A planner deciding where to reallocate labor. An operations lead trying to understand why a wave is falling behind. A support team tracing an issue across WMS, WCS, and carrier feeds.

These decisions already happen every shift. There are 6 agents gives organizations a way to capture that operational decision-making and turn it into a repeatable, governed digital process.

Planning Your First Warehouse AI Agent?

Already on Manhattan Active and deciding what your first AI agent should do? Fill out the form to read ITOrizon's guide on choosing the use case, connecting the data, and setting guardrails from Recommend to Execute.