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Artificial IntelligenceLiveRetail shelf intelligence

Retail shelf intelligence — Supermarket

Shelf-camera models tracking planogram compliance and gaps. Delivered for a supermarket client in Vapi.

Location
Vapi
Year
2021
Duration
25 weeks
Team
8 engineers
Interactive 3D · drag to rotate
90%
compliance
21
stores
−27%
lost sales

The challenge

Data existed but lived in spreadsheets and legacy systems, so decisions were made on instinct rather than evidence.

What we built

A phased rollout: a measured pilot first, then scale-out. The core runs on YOLO with ONNX Runtime, integrated into existing systems through PostgreSQL.

Delivery timeline

  1. Phase 1

    Discovery sprint and site survey

  2. Phase 2

    Prototype built and tested in the Motera lab

  3. Phase 3

    Pilot on site with before/after measurement

  4. Phase 4

    Scale-out, training and handover

Highlights

  • Runs on-premises; no data leaves the site unless agreed
  • Designed, built and supported from Motera, Ahmedabad
  • Before-and-after measurements agreed with the client up front
  • Documentation, drawings and source handed over at close

Have a problem that needs a machine built for it?

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