VisionIQ
Turn existing CCTV and camera feeds into actionable retail intelligence with heat maps, dwell time, customer flow, active zones, dead zones, and space utilization insights.
See the product in action
VisionIQ helps retailers understand what is happening inside their physical stores beyond transactions. By analysing existing CCTV and in-store camera feeds, the platform identifies how customers move, where they spend time, which areas attract attention, and which zones are being ignored.
The product converts video feeds into practical insights such as heat maps, dwell time analysis, customer flow patterns, active and dead zones, and space utilization reports. These insights help retail teams improve store layout, merchandising, campaign placement, staffing, and the overall in-store experience.
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Your CCTV Records Everything, But Understands Nothing
Most retailers already have cameras across their stores, but these systems are primarily used for security and incident review. Valuable customer movement data is captured every day, but it rarely gets converted into business insight.
Retailers often know what was sold, but not how customers moved before the sale.
Existing CCTV footage is usually stored or reviewed only after incidents, not used for store optimization.
Teams may not know which areas are active, ignored, congested, or underutilized.
Store layout, staffing, display placement, and campaigns are often optimized using experience rather than measurable in-store behavior.
Convert Camera Feeds into Store Intelligence
VisionIQ turns existing camera infrastructure into a practical analytics layer for physical retail. It helps teams understand customer behavior inside stores and make better operational, merchandising, and sales decisions.
Visualize where customers move, stop, and spend time across different parts of the store.
Measure how long customers stay in specific zones, aisles, displays, or campaign areas.
Identify high traffic areas, low engagement sections, bottlenecks, and underused store spaces.
Use movement data to improve layouts, optimize staffing, place campaigns better, and increase the effectiveness of in-store execution.
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