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Shelf Audit: Detect Out-of-Stock Gaps from Shelf Photos with AI

Upload a shelf photo from your field team or store staff: the AI says whether there are out-of-stock gaps, how full and tidy the shelf is, and marks the largest gap.

Photo of the shelf or aisle

Example photos

Example photo: Maksym Kozlenko, CC BY-SA 4.0 (Wikimedia Commons)

Result

The result will appear here.

Results are AI estimates and may contain errors. Your text is not stored; the result for the same text is cached briefly.

Labels

The model scores the probability of each damage type below for every photo. You can extend the damage types for your processes or use it with labels made for you.

Out-of-stock gaps
Empty shelf space where products should be.
Messy facing
Fallen, mixed or unfaced products.
Missing price tags
Price or shelf labels missing or unreadable.
Misplaced products
Products in the wrong place or mixed with other categories.
Damaged packaging
Opened or damaged packaging on the shelf.
Promo material
Campaign tags, signs or shelf stoppers are visible.

Where is it used?

Examples of how teams use this model in their daily work.

  • 01

    Reducing lost sales

    Collect regular shelf photos from branches and detect gaps automatically to prevent lost sales early.

  • 02

    Field team audits

    Score merchandisers' and area managers' visit photos with the same criteria.

  • 03

    Planogram and campaign compliance

    Check that campaign material is in place and products sit where they should.

  • 04

    Supplier and brand reporting

    Report your brand's shelf presence in retail chains with photos.

Use this model in your own system

Change the labels, add new ones for your industry, or connect the model to your CRM, contact centre or e-commerce stack through our API. For API access and custom models, write to us at [email protected].

Write to us

Frequently asked questions

Is this tool free?
Yes. You can analyse a number of texts a day without signing in; heavy use gets a short cool-down.
Which languages does it support?
It understands multilingual text, Turkish and English first; results are shown in your interface language.
Is my text stored?
No. The text is only processed for the analysis; the result is cached briefly so repeated requests return quickly.
Can I analyse in bulk?
The BranchVoice platform collects your reviews from their sources automatically and classifies them with these models in bulk; request a demo to try it.

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Want to analyse thousands of reviews automatically?

BranchVoice collects reviews from Google Maps, complaint sites, social media, app stores and marketplaces every day, classifies them with these models and turns them into alerts, reports and dashboards.

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