Warehouses & Logistics
Your WMS is blind. Your cameras aren't — yet.
Built for Director of Warehouse Innovation 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
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. Cloud-dependent vision fails on warehouse floors with poor Wi-Fi and high conveyor speeds. Edge inference on sorter/conveyor uses spatial and visual context to identify parcels without perfect barcodes.
Laser scanner on damaged labels: 87% read rate · Parcel identification rate: 99.2% vs 87% baseline
Deployment: edge · Integration: WMS / Sorter PLC
More use cases
How EdgeReadyAI fits warehouses & logistics
Operational scenarios where edge and hybrid computer vision deliver measurable outcomes.
Real-time Dock Door Utilization
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. Improve dock utilization from 62% to 89% with hybrid 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
Fix barcode failures on your sorter — book a demo
Talk to us about deploying the Hybrid SDK for parcel id when barcodes fail in your environment.