Blind Spots in Shopper Behaviour
Sales data shows what sold — not who walked past, paused, or left without buying.
Industry / Retail
AI Surveillance for Retail
Measure shopper behaviour, prevent loss, and operate stores from operational signal — not surveys. Real-time analytics from your existing in-store cameras, processed entirely on-prem.
- Edge AI
- Data Sovereignty
- 42ms Latency
- 99% Detection Accuracy
42ms
Detection Latency
99%
Footfall Accuracy
<60s
Queue Alert Response
On-Prem
PII Never Leaves Store
Challenges we solve
Queue & Checkout Overflow
Conversions lost when queue length crosses tolerance thresholds. Staff aren't paged in time.
Shelf Out-of-Stocks
Empty shelves go unnoticed for hours; manual audits miss the majority of stock-outs.
Top use cases
Customer Heatmap Analytics
Visualize shopper movement, high-engagement aisles, and in-store traffic behavior to optimize product placement and store layouts.
Checkout Queue Monitoring
Track billing-line congestion in real time and alert staff before long queues impact customer experience.
Shelf-Out Detection
Real-time empty-shelf alerts to floor associates.
Gaze-to-Advertisement
Measure true display engagement, not impressions.
Suspicious Activity Detection
Identify unusual movement patterns, concealment behavior, and restricted-area access events using real-time AI monitoring.
How NTRA can help for Retail
Edge-deployed AI vision across your existing camera fleet — tuned to your operating environment, integrated with your stack.
Retail Analytics
Footfall, dwell, queue, and shelf-out signal from existing cameras.
Loss Prevention
Behaviour-based shoplifting and concealment detection.
Person Analytics
Anonymised tracking — no facial PII stored in retail mode.
Operational Monitoring
POS-area coverage, employee compliance, and after-hours intrusion.
Deployment
Pilot one store in 2 weeks — roll out chain-wide in 90 days
Store Cameras
Existing IP / RTSP
NTRA Edge AI
Per-store appliance
HQ Dashboard
Chain-wide rollup
Your data never leaves your network.
- Uses cameras you already have — no infrastructure overhaul
- Per-store edge appliance with HQ dashboard rollup
- Anonymised analytics in retail mode — no facial PII stored
- Integrates with POS, ERP, and BI tools (Looker, PowerBI, Tableau)
Frequently asked questions
Do you store shopper faces?
Retail mode runs anonymised — we count, track, and analyse without retaining identifiable images.Will it work with our existing CCTV?
Yes. Any IP / RTSP camera at 1080p or above is supported out of the box.How is this different from people-counting beams?
Beams count crossings. NTRA tracks paths, dwell time, queue formation, and product interaction — all from the same feeds.How does data flow to our BI stack?
Aggregated metrics push to your BI tools via REST API or webhook on a configurable interval.
Get started
Ready to deploy AI Vision across your retail infrastructure?
Book a walkthrough with the NTRA solutions team.