Every shelf, every aisle, checked every hour
Store cameras that spot empty shelves and planogram gaps, and tell staff exactly what to restock.
- Type
- Solution showcase
- Industry
- Retail
- Deployment
- Edge in store, dashboard in the cloud
- Services
- Computer Vision, Cloud & Data
The challenge
In a busy store, an empty shelf loses a sale every time a shopper walks past it. Manual shelf audits happen a few times a day at best, and by the time a gap is noticed, the moment has gone.
The solution
Shelf Intelligence uses the ceiling cameras a store already has to scan shelves on a schedule. A detection model finds products, price labels and empty facings, compares them with the planogram, and sends a prioritised restock list to staff devices. Head office sees availability by store, aisle and brand on one live dashboard.
What it includes
- Product and gap detection on existing CCTV
- Planogram compliance scoring by bay
- Restock tasks pushed to staff devices
- Availability dashboard by store, aisle and brand
- Processing in store, with no shopper identification
How it works
- 01
Capture
Existing cameras capture shelf images every hour, processed on a small edge device in the store.
- 02
Detect
A model trained on your range finds products, price labels and empty facings.
- 03
Compare
Detections are matched against the planogram to flag gaps and misplaced products.
- 04
Act
Staff receive a prioritised restock list, and managers see trends on a live dashboard.
Design targets
This is a solution showcase: a system Quibo designs and builds for this kind of problem. Figures are the design targets we build and test against, not results from a named client. Targets for your business are agreed and measured during the proof stage.
Services used
Want a system like this?
Tell us about the process or the cameras you have. We will tell you honestly what is achievable, and propose a short proof stage on your own data.
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