AI Video that reveals real in-store behaviour.
RetaliQ uses AI Video to transform camera images into actionable insights — from customer flows and dwell time to staff movements and real conversion moments.
Turns passive cameras into a live retail intelligence layer.
People Counting & RPV
Counts entries and exits in real time. Calculates Revenue Per Visitor by store, hour, zone and cashier. When RPV drops unexpectedly the system flags it immediately.
Heat Maps & Shopper Behavior
Tracks movement through the store. Identifies zones with high traffic but low conversion. Updated continuously — not twice a year by a consultant.
Hot Zone Management
Detects unusual crowding or conversion drops by zone. Sends a push notification to the floor supervisor's phone. Supervisor acts in the moment, not at end of day.
Crowd & Density Alerts
Continuous occupancy monitoring. Triggers proactive alerts when crowding patterns exceed thresholds — for safety, conversion, or staffing decisions.
Queue Management
Detects checkout queue length and dwell. Triggers staffing alerts before customers walk away. Measurable impact on conversion.
Digital Twin
Reconstructs a real-time floor plan with approximate person positions. Cross-referenced with planogram: identifies ignored zones and layout bottlenecks.
Custom Exception Detection
Define the exception your operation needs in plain language: missing PPE, unauthorized access, raised arms, abandoned objects. The model handles the rest.
Shelf AI (ShelfBreak)
Out-of-stock detection from any camera or smartphone. AI reads the surrounding packaging and identifies the specific SKUs and brands likely missing.
Connects to existing IP cameras. No new hardware required.
Deployed on GCP, AWS, Azure or on-premises. GPU optional. CPU baseline is enough for production.
AI Vision for any camera. Any brand. Any VMS.
The AI Video pillar is built as an intelligence layer that sits on top of your existing CCTV — not next to it. Plug into any IP camera or RTSP/ONVIF stream, define the exception your client cares about in plain language, and route alerts to the channels they already live in.
100% brand-agnostic
Hikvision, Dahua, Axis, Bosch, or any RTSP/ONVIF source. No proprietary lock-in. Perfect for the mixed environments that are the reality of most installations.
Exception intelligence
Not a generic detection box. We configure the exact exception each client needs — raised arms, missing PPE, unauthorized access, abandoned objects — whatever matters to them.
Acts where teams already work
Alerts arrive in Telegram, incident management systems, webhooks, or email — wherever the operations team already lives. Zero new software for end users.
Extensions of the AI Video pillar — built on real retail problems.
The AI Video architecture is extensible by design. As partners and customers surface new problems, RetaliQ codifies them into new AI capabilities that share the same backend, the same PWA, and the same role-based alerting.
ShelfBreak — Out-of-Stock Detection
On-shelf availability without RFID, without robots.
An employee walks the aisle with a phone. On-device computer vision flags candidate gaps; cloud AI confirms, classifies the category, identifies the visible brands and the SKUs likely missing. Auto-routed restock task to the floor team — loop closed in under five minutes.
- ✓ No new cameras. No IT integration.
- ✓ Runs on the Android phones stores already have.
- ✓ Tested in supermarkets across Chile and Morocco.
- ✓ Identifies real brands: Soprole, Colgate, Coca-Cola, Whiskas, Parents Choice…
Human Intelligence Layer
Every person in the store can document an incident.
Floor staff use the PWA to capture a photo or short video. The system auto-pulls nearby camera clips for the reported timestamp and routes the case to the right role. For staff without phones — IoT buttons (WiFi or LoRa) trigger the same workflow.
- ✓ Photo or short video, captured on the phone.
- ✓ Auto video enrichment from adjacent cameras.
- ✓ IoT buttons with 3 press protocols (assistance / security / emergency).
- ✓ Same incident queue as auto-detected events.
From walkthrough to restock — four steps, one phone, no extra hardware.
- 1
Walk
Staff walks the aisles with the mobile app in Employee Mode.
- 2
Detect
Real-time on-device analysis flags empty shelves automatically.
- 3
Capture
Three photos (zoom, normal, wide) plus metadata are saved as an incident.
- 4
Resolve
Manager reviews in Management Mode, assigns and tracks the restock.
No new cameras. No IT integration. Runs on the Android phones stores already have.
The actual production app, running below.
Real incidents, real AI classifications, captured in supermarkets last week.