Transform Real-Time Data into Retail Revenue

The Brief

Retail operators need more than footfall numbers—they need actionable insight into how customers move, dwell, and convert. Our deployment turned anonymous people-flow data into a continuous revenue signal for store planning and staffing.

The Challenge: Blind Spots in Store Operations

Traditional POS and manual counts leave large gaps between traffic and sales. Without reliable occupancy and path data, merchandising, queue management, and labour scheduling rely on guesswork—especially during promotions and peak hours.

The Solution: Privacy-First People Analytics

We installed a network of Xovis sensors covering entrances, aisles, and service zones. The system delivers real-time occupancy, dwell, and conversion proxies without capturing identifiable imagery—supporting GDPR-aligned retail intelligence.

With continuous, zone-level people data, the retailer gained:

Live Conversion Insight: Correlate entrance counts with transactions to measure true conversion by hour and campaign.
Smarter Staffing: Align floor coverage to live occupancy peaks, reducing queues and idle time.
Layout Optimisation: Use dwell and path heatmaps to refine fixture placement and promotional zones.