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HomeCase StudiesWarehouse AI — Global 3PL (12 Warehouses)
AI AUTOMATIONLogistics & Supply ChainGlobal

Warehouse AI — Global 3PL (12 Warehouses)

Pick accuracy 97.2%→99.8% | Labour cost -28% | Throughput +34%
14 weeks

The Problem We Were Brought In To Solve

Global 3PL: 97.2% pick accuracy, high labour cost from manual slotting, throughput ceiling with existing WMS.

How Revino Delivered

AI warehouse: ML slotting by velocity/weight/affinity, pick path optimisation, labour allocation by zone demand, productivity dashboard.

Measurable Business Impact

Pick accuracy: 97.2%→99.8%
Labour cost: -28%
Throughput: +34%
Slotting: automated weekly
On-time dispatch: 94%→99.1%
PythonOR-ToolsWMS IntegrationReact DashboardPostgreSQLAWS
Logistics & Supply Chain IndustryAI Automation & AnalyticsBusiness Process Management
KEY METRICS
99.8%
Pick accuracy
-28%
Labour cost
+34%
Throughput
99.1%
On-time dispatch
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