
Customer Insights
Analyses customer behaviour in retail and commercial spaces using IP cameras. Tracks how shoppers move through the store, which areas and displays attract attention, how long they dwell, and how many convert from browsers to buyers. Gives merchandising and operations teams actionable data without personally identifying customers.
Key Features
Discover the powerful capabilities that make Customer Insights stand out
Customer flow and movement path analysis through the store
Dwell time per zone, aisle, and display
Hot zone and cold zone identification
Queue detection and wait time measurement at checkout
Conversion zone analysis — entry vs active browsing vs purchase areas
Time-of-day and day-of-week traffic trends
Staff-to-customer ratio monitoring during peak periods
Anonymous analytics — no facial recognition or PII
Technical Specifications
Detailed technical information about Customer Insights
Prerequisites & Limitations
What Customer Insights needs to run reliably, and the operating limits to plan for.
Prerequisites
- Camera: 2MP+ IP/RTSP covering the retail area, aisle, or zone to be analysed
- Adequate, colour-accurate illumination — good lighting improves dwell and demographic analysis
- Stable bandwidth between camera and edge/server — roughly 4–8 Mbps per 2MP H.264/H.265 stream
- Mounting for clear views of shoppers, with sufficient face/figure size where demographics are used
- Stable power and network at the deployment point
Operating Limits
Indicative figures — actual limits depend on hardware, scene, and configuration.
Deployment Models
Customer Insights is available in 2 deployment models. Choose the option that fits your infrastructure.
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Planogram Analysis
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View productRelated Knowledge Base
Learn about the hardware and infrastructure components used in a Customer Insights deployment.
Ready to Get Started with Customer Insights?
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