Shelf
Intelligence
AI that reads the store shelf from field photos: which products are present, whether prices match the plan, and what competitors are doing in the same aisle.
The problem
Once products leave the warehouse, brands lose sight of the shelf. Prices drift from what was agreed, products go missing from the gondola, and competitor promotions appear without warning. Traditional audits are slow, sampled and arrive too late to act on.
What it does
The system works the way field operations already work: people on routes photograph the shelves they visit. From each photo, AI does the auditing.
- Detects whether products are actually on the shelf, and where on the gondola they sit.
- Reads the displayed prices and flags deviations against the intended price list.
- Identifies competitor products in the same aisle, their pricing and their promotions.
- Turns every deviation into a concrete finding the right person can act on.
How it runs in the field
No new hardware and no separate audit visits. Capture is part of the route the field team already walks: take the photo, move on. Analysis happens automatically, so what used to be a clipboard exercise becomes a continuous, store-by-store picture of how execution actually looks.
In active development with field teams now.