Detect empty shelves by camera and restock

Stores detect empty shelves by camera and trigger restocking

Future prospectAI Act: no extra obligationsInspecting by cameraRetail & e-commerce

Fits: Logistics & warehousing · Sales · Purchasing

Gaps on the shelf are noticed before customers are standing in front of an empty slot, and restocking is triggered without anyone walking the aisles. So far this runs mainly in pilot stores, not as a mature standard solution for every shop.

Is this for you?

  • You want to try out, as a pilot store or early on in the company, whether shelf recognition is worth it for you.
  • Empty slots are a noticeable problem for you, e.g. with dairy products, promotional goods or fast sellers, even though there is often stock in the storeroom.
  • You have up-to-date planograms and a merchandise management system that alerts could link to.
First step today

Use the template below to research how far camera-based shelf recognition has come today. Then walk through the store once at the next peak time and note which slots are empty and whether the goods are in the storeroom. This tells you where a pilot would start and whether it is a shelf-filling problem at all.

How to go about it

  1. Define pilot shelves and the detection goal
  2. Set up cameras or walk-throughs
  3. Link shelf images to the planogram
  4. Check alerts against inspection rounds and set thresholds
  5. Trigger restocking tasks in the pilot
  6. Review false alerts every week and decide

Templates to copy

Try it now
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Included in the training

The complete guide

  • 6 steps explaining exactly what to do
  • 3 proven templates to copy into your own AI
  • Safe use: data, checking, deciding, informing
  • Pitfalls, effort and how to recognise success

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Same approach, other use cases

24 more use cases follow the pattern “Inspecting by camera”.

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EH-01 · Legal status 08.10.2026