CV-Powered Insights From In-Store Footage
Elevating in-store experiences with vision-powered retail intelligence
The Challenge
Our Approach
We built a CV Analytics Layer on top of their existing camera infrastructure:
- Detected and tracked anonymized customer movement in real time
- Identified zones with high engagement vs. cold zones
- Measured dwell time, product pickup rates, and queue lengths
- Triggered alerts when overcrowding or unattended children were detected
Privacy was maintained through on-device anonymization and no facial recognition.
Stats
Enabled weekly A/B layout experiments
The Outcome
- Boosted sales by 11% in optimized product display zones
- Reduced average checkout wait time by 24%
- Enabled weekly layout experiments with A/B testing data
- Created a competitive edge with data-driven visual merchandising
Case Study
- All Posts
- AI Agents
- AI Chat Bot
- AI Kickstater
- Computer Vision
- Data Engineering
- Gen AI
- Machine Learning
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