WATON TRACE: AI Warehouse Verification and Traceability Platform
WATA AI INC.
- 2027 Honoree in Artificial Intelligence, Supply & Logistics
WATON TRACE is an enterprise computer-vision platform that eliminates manual visual inspection and paperwork across warehouse operations. From truck unloading and inbound inspection to putaway, picking and outbound shipping, it automatically verifies and continuously traces goods from arrival to departure.
The system combines forklift-mounted AI Vision Kits with fixed Warehouse Verification System (WVS) units positioned at docks. As pallets move, it reads labels, measures dimensions, extracts surface feature points, counts items and verifies contents automatically, removing manual scanning and cross-checking.
After verification, WATON TRACE automatically generates inspection confirmations, putaway instructions, picking instructions and shipping confirmations, then transmits the results to WMS, TMS and ERP through APIs.
A proprietary learning pipeline auto-labels recognition and location data and continuously feeds verified data back into model retraining. This closed-loop process reinforces recognition performance over time, allowing the system to improve its accuracy and adaptability under changing warehouse conditions.