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The Video-Based Shopper Heat Maps Project, currently being executed by Dwisetech for Addon Communication, leverages computer vision and video analytics to generate real-time heat maps of shopper movement within retail stores. The solution provides actionable insights into customer behavior, enabling brands and retailers to optimize product placement, store layout, and marketing strategies.
Real-Time Shopper Heat Maps
Live visualization of shopper movement and dwell time
Heat maps highlighting high-traffic and low-traffic areas
Continuous in-store activity monitoring
Product & Brand Traffic Analysis
Measurement of footfall around specific products and brands
Identification of customer engagement patterns
Insights to improve product placement and visibility
Trend Monitoring & Forecasting
Analysis of traffic trends over time
Data-driven forecasting of shopper behavior
Support for informed merchandising and promotional decisions
Video & AI-Driven Analytics
Video-based data capture using in-store cameras
AI-powered analytics for accurate movement tracking
Privacy-aware processing focused on behavioral insights
As an ongoing initiative, the project continues to:
Deliver real-time visibility into shopper behavior
Help brands optimize in-store layouts and campaigns
Enable data-driven retail decision-making
Improve forecasting of traffic trends and customer engagement
This project demonstrates Dwisetech’s expertise in computer vision, video analytics, and retail intelligence, delivering scalable, real-time insights for modern retail environments.
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