[INC3] AI-Powered Automatic Inventory Counting and Location using Image/Video at Inochi

The warehouse counting process is performed manually, leading to multiple inaccurate counts and difficulties in identifying/locating goods in the warehouse. (Current counting time and discrepancy rate between physical and system inventory need to be quantified).

Collect actual images/videos in the warehouse. Data labeling by item code. Train AI model for product identification & location. Integrate AI with the warehouse system (WMS/Bravo). Build a dashboard for inventory counting & monitoring based on images.

Manual counting, Multiple counts.

Manual counting, Multiple counts.

Warehouse Management Department (WMS), Inventory Accounting, Supply Chain Coordination

Actual images/videos of products and locations in the warehouse need to be collected and labeled by item code. The input data is unstructured (images/videos) and needs to be integrated with structured data (item code) from the system.

Requires API integration with the existing warehouse management system (WMS/Bravo). Image/video processing may require GPU infrastructure (needs clarification). A monitoring Dashboard needs to be built.