Planogram help
Staff check where a new product goes and how many facings it gets.
Retail · Store operations and training
Shelf checks
A camera model on a handheld spots gaps and wrong labels during the morning walk.
- Handheld
- Camera
- Works offline
Handheld assistantOn this device · no internet needed
What needs fixing in aisle 6?
Two gaps and one wrong price label. The gaps are both in the running range.
Which items on this shelf need restocking?
Three gaps: oat milk, almond milk and the 1 litre juice.
Is the price on the shelf right for the oat milk?
No. The shelf shows the old price. The current price is on this week’s price list.
The problem
Gaps and wrong price labels cost sales and trust, but checking every shelf by eye is slow. Photos sent to the cloud for analysis need a strong connection and raise privacy questions. By the time a report comes back, the store is busy.
Who uses it
Store managers and replenishment staff on the morning and evening walk.
What you train it on
- Planograms
- Price lists
- Product images
How it works on the device
- 1
Vision model on the device
A camera model runs on the handheld and checks shelves as staff walk the aisle.
- 2
Matched to your planogram
It compares what it sees with this week’s planogram and price list.
- 3
A task list, not a report
Staff get a short list of what to fix, aisle by aisle.
Why it runs on the device
Faster walks
Gaps and label errors are spotted while walking past.
Images stay in store
Shelf photos are checked on the device, not uploaded.
Works without Wi-Fi
Stockrooms and corners with no signal are covered too.
Questions
No. It uses the camera on the handheld or phone staff already carry.
Only if you choose to keep them. By default they are checked on the device and discarded.
Accuracy depends on your products and lighting. You test it on your own shelves during the pilot before rollout.
Related use cases
All use casesPut AI where your work happens.
Pick one team and one use case. We’ll have it running on your own devices in weeks.