All case studies
Turning 34 grocery stores into measurable retail floors
Grocery retail chain, Klang Valley · 34 stores · 12 months
Measured outcomes
- +7.4%
- Basket conversion
- -62%
- Shelf-gap duration
- -31%
- Peak queue wait
- 3.5 mo
- Payback period
Starting point
Conversion was estimated from till receipts alone. Out-of-stocks on fast movers were found during evening replenishment, hours after the sale was lost, and chiller excursions were logged by hand three times a day.
“We stopped arguing about what happened on the floor and started planning around it.”
What we deployed
- Edge AI cameras for anonymised footfall, dwell and queue-length counting
- Shelf-gap detection on 180 high-velocity SKUs with alerts to handhelds
- Wireless temperature and door sensors across chillers and freezers
- Store scorecard dashboard with hourly conversion and staffing signals
What changed
- Hourly staffing moved from fixed rosters to demand curves per store
- Chiller excursions escalated within minutes instead of at the next manual check
- Category teams review a single shared conversion metric across all 34 stores
Client names are withheld under commercial confidentiality; figures are drawn from post-deployment reviews agreed with each client.
