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Retail

Optimizing customer service processes and helping companies create unique customer experiences

Improving service

  • Accounting for employee time by recognizing faces.
  • Out of stock detection by recognizing empty and missing goods on the shelves.
  • Comparison of goods placement with the planogram by recognizing goods on the shelves.
  • Monitoring of customer waiting time.
  • Control of employees: checking the presence of a medical mask, assessment of the number of smiles of the staff to customers.

Deciphering customer behavior

  • Counting the number of visitors and their demographic analysis upon entering the store.
  • Counting the number of unique visitors through facial identification in the database of all visitors over the past few days.
  • Estimation of a customer's store visit time, time from the entrance to the checkout by tracking faces at key points (entry, checkout, exit).
  • Recognition of VIP customers, loyalty program members or all repeat customers.

Preventing theft

  • Shoplifter identification. Used both at the entrance to the store and at the self‑service checkout.
  • Cash analytics recognition of checked out goods and their comparison with the receipt. Used in regular cash desks and self‑service cash desks.

Deep insight

WE ARE OPEN TO DISCUSS CUSTOM COMPUTER VISION ALGORITHMS DEVELOPMENT

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