Warehouses & Logistics
Your WMS is blind. Your cameras aren't — yet.
Built for VP Supply Chain Operations teams who need real-time visual intelligence without rebuilding an entire vision stack. EdgeReadyAI Hybrid SDK — edge inference where latency, privacy, or connectivity demand it.
Warehouses & Logistics
Stop paying thousands per idle truck hour
Idle trucks at docks cost thousands per hour; manual dock scheduling is guesswork without real-time arrival detection. Manual dock logs lag reality by 15–30 minutes, causing scheduling conflicts. Edge cameras detect truck arrival instantly; cloud optimizes scheduling across the facility.
Idle truck cost: 3,200 USD/hour · Dock utilization: 89% vs 62% baseline
Deployment: hybrid · Integration: YMS / TMS
More use cases
How EdgeReadyAI fits warehouses & logistics
Operational scenarios where edge and hybrid computer vision deliver measurable outcomes.
Parcel ID When Barcodes Fail
Keep the conveyor running when barcodes don't. Damaged, obscured, or shrink-wrapped barcodes force manual sort interventions — conveyor stops and labor spikes across shifts. Improve parcel identification rate from 87% to 99.2% with edge mode inference.
Forklift-Mounted Inventory Awareness
Count inventory while you move — not during shutdowns. Manual cycle counts hit only 85–90% accuracy, creating stockouts and phantom inventory that disrupt fulfillment. Improve inventory accuracy from 88% to 99.1% with edge mode inference.
Warehouses & Logistics
Optimize dock throughput — see the dashboard
Talk to us about deploying the Hybrid SDK for real-time dock door utilization in your environment.