An empty shelf is a lost sale and a brand impression. Vision-based empty-shelf detection watches inventory across an entire store or warehouse aisle, alerts associates the moment a facing empties, and tracks restock SLAs over time.
By the time an associate notices an empty facing, customers have walked away. Vision-based monitoring sees the moment the last unit leaves and dispatches the right associate to the right aisle — before the next customer arrives.
We layer empty-shelf AI onto your existing camera infrastructure. The cameras keep their security role; the same feed is also analyzed for shelf state. No new cameras, no new cabling — only an analysis layer that runs alongside your existing video management system.
Spec dedicated shelf-monitoring cameras alongside security cameras at design time. Per-aisle camera positioning optimized for shelf-state visibility, not security. Direct integration with planograms and inventory systems for live, SKU-level shelf state.
Cameras monitor each aisle continuously. Each facing identified by position.
AI evaluates fill state per facing: full, partial, low, empty.
Empty / low alerts dispatched to associate handhelds with aisle + facing location.
Time-to-empty + time-to-restock logged. SLA reports by aisle, by category, by shift.
Tell us your line, your existing equipment, and your tolerance window. We'll come back with a retrofit assessment, a greenfield specification, and a rough cost estimate within two business days.