Turn existing security cameras into analytics sensors. Customer flow heatmaps, dwell time analysis, queue management, and loss prevention — all from video.
Retail stores have dozens of cameras but use them only for loss prevention after the fact. No proactive analytics.
Understanding customer behavior requires expensive dedicated sensors, beacon systems, or manual audits.
Customers abandon purchases when wait times are too long. Staffing decisions are based on schedules, not real demand.
Visualize how customers move through the store. Identify high-traffic zones, dead zones, and the true path to purchase.
Monitor checkout queues in real time. Predict wait times. Trigger staff alerts when lines exceed thresholds.
Detect suspicious behavior patterns: concealment, ticket switching, unusual shopping patterns. Alert loss prevention in real time.
Real alerts are structured JSON. Here's what the narrative summary looks like.
Checkout queue at registers 3-5 exceeds 8 customers. Estimated wait: 9 minutes. Staff threshold exceeded.
Potential concealment detected in Aisle 7 (Electronics). Customer placed item in personal bag. Confidence: 0.87.
Zone A (New Arrivals) dwell time dropped 40% versus last Tuesday. Display change may need evaluation.