The client is a leading supermarket retail chain in India with a wide footprint across urban and semi-urban regions. Focused on delivering a superior in-store shopping experience, the retailer sought to modernize its operations with AI-driven insights. With growing competition and evolving customer behavior, the client aimed to transform its physical store intelligence through real-time, privacy-compliant analytics to drive layout optimization, product placement, and customer engagement strategies.
The client faced limited visibility into real-time shopper behavior and store zone performance. Traditional analytics methods were reactive, lacked precision, and failed to capture critical metrics like dwell time, product engagement, and traffic hotspots. Without granular insights, the retailer struggled to optimize store layouts, validate promotions, and make data-driven decisions, ultimately impacting sales conversion and customer experience. A scalable, privacy-compliant AI solution was needed to bridge this intelligence gap and enable smarter retail operations.
Our team deployed an AI-powered Computer Vision system that utilized existing CCTV infrastructure and Edge Computing to generate dynamic, in-store heatmaps. The solution seamlessly merged technical precision with business impact, empowering the client with advanced retail intelligence and shopper behavior insights.
- Computer Vision with Edge AI: Edge-based AI models were deployed to process CCTV footage in real time, mapping shopper movement patterns while ensuring data privacy and low latency.
- Heatmap Visualization: High-density areas and dwell times were visualized through intuitive, color-coded heatmaps, offering a clear view of customer flow and zone popularity.
- Behavioral Analytics: The system uncovered actionable insights into product interactions, underutilized areas, and peak engagement periods.
- Interactive Insight Dashboard: Custom dashboards were built for store managers, enabling data-backed decisions around product placement, layout optimization, and promotional effectiveness.
The tech stack includes:
- CCTV Camera Network (Input Source)
- Edge AI Modules (NVIDIA Jetson)
- OpenCV & Custom Vision Models
- Real-Time Analytics Dashboard (Power BI / Custom UI)
- GDPR/CCPA-Compliant Architecture
-Enhanced Shopper Understanding: Delivered deep insights into customer preferences and high-demand areas.
-Informed Decision-Making: Enabled the retailer to adjust product placements and promotions based on actual in-store behavior.
-Improved Layout Efficiency: Store layouts were reconfigured to reduce congestion and highlight high-margin products, improving customer experience.
-Competitive Advantage: The client gained a data-driven edge in retail operations, allowing more agile and personalized in-store strategies.
