AI Video Analytics for Retail Excellence

Smart Vision: Transforming Customer Insights into Revenue

Challenge

A major retail chain with 500+ stores struggled to optimize store layouts and understand customer behavior patterns, relying solely on sales data and manual observations.

Solution

Implemented an advanced AI video analytics system that:

  • Processed feeds from existing security cameras using computer vision
  • Generated real-time heat maps of customer movement
  • Analyzed customer dwell time and product interaction
  • Identified peak traffic patterns and bottlenecks

Results

  • 23% increase in customer conversion rate
  • 15% improvement in store layout efficiency
  • $2.8M additional revenue in the first year
  • Real-time insights across all store locations
Project Info

Industry

Retail

Duration

6 months

Team Size

8 specialists

Technologies

Computer Vision, TensorFlow, Azure AI, Python, Real-time Analytics