Use cases · Operations

Empty shelf alerts from store cameras

Use images from existing store cameras or periodic shelf photos to flag gaps and low stock on key shelves, so staff restock before customers find an empty space, without identifying shoppers.

Where it starts

The trigger.

A scheduled image capture of monitored shelves, for example every hour during opening times.

How it runs today

  • Gaps are found when a customer asks or a staff member happens to walk past.
  • Manual shelf checks take time and are skipped when the store is busy.
  • Fast-selling items run out on the shelf while stock sits in the back room.

The workflow

Four bounded steps.

Each step has an owner and a stop rule.

  1. 01 / Capture

    Take images of the agreed shelves from existing or added cameras, or from staff photos.

  2. 02 / Detect

    Flag likely gaps and low facings on each monitored shelf, without identifying people.

  3. 03 / Alert

    Send staff a short list of shelves to check, with a photo of each gap.

  4. 04 / Confirm

    Staff restock or mark the alert as wrong, and the results improve the detection.

Where people stay in control

Approval points.

  • Staff confirm every alert before restocking or ordering.
  • Images are cropped or blurred so shoppers are not identified, and kept only as long as needed.
  • Store managers decide which shelves are monitored.

How we would measure it

Against a baseline.

Measured before and after, on the same work.

Time from gap to restock on monitored shelves.

Share of alerts confirmed by staff.

Staff time spent on manual shelf checks.

Related

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An illustrative workflow pattern, not a result from a specific customer.

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