AGENT 35 / 11 · RETAIL & E-COMMERCE · PROCUREMENT & FREIGHT LOGISTICS

Warehouse Space Maximizer

Assigns every SKU to a slot that balances pick-face proximity against storage density, based on weight, volume and pick velocity — cutting picker travel time and freeing up capacity.

READS FROMWMS inventory data, pick velocity history

MCP SERVERLogistics Data Server

MODELRouted to reasoning-tier open model

HANDS OFF TOSupplier Risk Mapping Agent

RUN THE AGENT

Set your warehouse, model the re-slotting gain

Adjust travel distance and slotting efficiency and the agent recalculates picker time and capacity unlocked instantly.

ASSUMPTIONS

Total storage slots 12000

Current space utilization 68%

Utilization gain from optimal slotting 12%

Average pick travel distance (m) 45

Travel distance reduction from re-slotting 28%

Picks / day 6000

Picker cost per hour (£) 16

Average walking speed (m/s) 1.2

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Pick travel reduced

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Labor hours saved / day

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Labor cost saved / day

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Additional capacity unlocked

Metric	Value

HOW IT WORKS

What the agent actually does

1. Profile every SKU	Reads weight, volume and pick velocity for every item currently in the warehouse.
2. Compute the ideal slot	Assigns each SKU to a location that balances pick-face proximity against storage density.
3. Sequence the re-slot	Generates a move list that migrates inventory to its optimal location with minimal operational disruption.
4. Hand off	Reports freed capacity to inbound planning, and the updated travel times to labor scheduling and the Supplier Risk Mapping Agent's buffer-stock assumptions.