120-store convenience chain converts footfall into merchandising insight

Entrance counting and checkout analytics on XCORE-4 boxes gave head office comparable traffic and conversion data for the first time.

Retail Chain120 stores · national rollout · POS integration
At a glance

Project snapshot

The essentials at a glance.

IndustryRetail Chain
Scale120 stores · national rollout · POS integration
HardwareXCORE-4, XCAN VMS / Cloud
Key algorithmsPeople Counting & Flow, Loitering Detection, Missing / Lost Item Detection, Uniform / Dress-Code Check
Challenge

The challenge

What the site was dealing with before deployment.

Footfall and conversion were estimated from till receipts, which hid how many visitors actually left without buying.

Head office had no comparable operational data between stores, so staffing decisions were made on gut feel.

Solution

What we deployed

The configuration and how it was rolled out.

  • Bi-directional counting lines placed at each store entrance on an XCORE-4 appliance.
  • Counting data matched against POS transactions through the Open API to calculate real conversion rate.
  • Loitering and missing-item detection enabled on high-value shelves; after-hours intrusion protection at the rear entrance.
  • All 120 stores report into one dashboard, with per-store and per-region benchmarking.
Outcome

Results

Measured outcomes after go-live.

120stores
+18%conversion visibility
1dashboard
  • Conversion became a measured metric, revealing an 18% spread between best and worst performers.
  • Staffing rosters were adjusted using hourly traffic curves rather than weekly averages.
  • Shrinkage on high-value categories was reduced with verifiable event evidence.

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