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Artificial IntelligencePilotRetail shelf intelligence

Retail shelf intelligence — Retail

Shelf-camera models tracking planogram compliance and gaps. Delivered for a retail client in Jaipur.

Location
Jaipur
Year
2025
Duration
25 weeks
Team
3 engineers
Interactive 3D · drag to rotate
90%
compliance
251
stores
−14%
lost sales

The challenge

The retail team was relying on manual effort that could not keep up with volume, and every miss had a direct cost.

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

  • Safety case reviewed with the client's EHS team
  • Documentation, drawings and source handed over at close
  • Operator training delivered in Gujarati, Hindi and English
  • Runs on-premises; no data leaves the site unless agreed

Have a problem that needs a machine built for it?

Tell us the constraint — line speed, accuracy, environment, deadline. An engineer will read it and reply with a straight answer, including when the answer is that you don't need us.

We reply to every enquiry within one business day.