Computer vision analytics dashboard for retail optimization
RetailTech needed an AI-powered solution to analyze customer behavior in physical stores using computer vision. The system needed to provide real-time insights while respecting privacy and handling high-volume video feeds.
RetailTech Solutions
8 months
2025
Processing multiple video feeds in real-time, extracting meaningful insights about customer behavior, and presenting them in an actionable dashboard. All while ensuring customer privacy and handling the computational demands of computer vision at scale.
We built a distributed computer vision pipeline using TensorFlow and custom ML models for behavior analysis. The system processes video feeds at the edge, anonymizes data immediately, and aggregates insights in a React-based dashboard.
Process video feeds with sub-second latency
Edge processing with immediate anonymization
Track customer paths, dwell times, and engagement
Handle hundreds of cameras per location
Increase in conversion rate
Retail locations deployed
Processing latency