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Why do you need Computer Vision?

Manual audits are costing you a lot of time. With computer vision, you can track everything more often and semi-automatically.

~4.5%

of retail revenue lost to shelf gaps.

Source: IHL Group, out-of-stock research.

Why can you trust Computer Vision?

95–99%
shelf accuracy
7,000+
stores already using computer vision for shelf monitoring

Source: published retail computer vision field studies and publicly announced deployments.

Accuracy position

Measured under agreed client-specific criteria — SKU scope, photo quality, category complexity, and deployment conditions.

How our Computer Vision works

  1. Photograph the shelf

    One photo from a normal phone. No special hardware, no rigs, no barcode hunting.

  2. AI reads product, price & placement

    The model recognises what’s on the shelf, and where it sits versus your planogram.

  3. Compliance scored and added to reports

    A clear score with the gaps highlighted — so you know exactly what needs to be solved.

AI supports the checks that are too slow to do manually at scale

AI reduces manual effort and standardises evidence. It strengthens the operating model; it does not replace it.

  • SKU presence and placement
  • Shelf share and facing checks
  • Out-of-stock and out-of-shelf situations
  • Planogram compliance
  • Price and tag consistency
  • Promotional execution
  • Photo-backed evidence for audit integrity