The story
A large-format retailer replaced manual shelf audits with a computer vision system that compares shelves to the expected layout and alerts staff when something is missing or misplaced.
The brief
Shelf problems were found hours late through manual audits, hurting sales and inventory accuracy across many stores and layouts.
What we delivered.
01
Product detection
Detects and positions products despite varied packaging, lighting and angles.
02
Planogram engine
Compares shelves to the planogram and syncs with the inventory database.
03
Staff alerts
Mobile notifications with assigned corrective tasks, plus a compliance dashboard.
PythonTensorFlow / PyTorchObject detectionREST APIs
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