AI-powered foot traffic and conversion analytics for physical retail stores.
Uses in-store camera feeds and a YOLOv6 computer vision model to count visitors, track movement patterns, and measure real conversion rates — how many people walk in versus how many actually buy. No manual counting, no guesswork.
The system processes camera footage locally, detects and tracks individuals across zones, and feeds the data into dashboards that store managers and owners can use to make staffing, layout, and marketing decisions based on actual foot traffic behavior.
Who It's For
Retail Store Owners
Understand how many people visit, when they come, and how many convert to buyers.
Store Managers
Optimize staffing schedules and floor layouts based on actual traffic patterns.
Marketing Teams
Measure the real impact of promotions and campaigns on store visits.
Multi-Store Operators
Compare foot traffic and conversion rates across locations.
What It Does
- AI-powered visitor counting from existing security cameras
- Real-time foot traffic monitoring with hourly and daily breakdowns
- Conversion rate tracking (visitors vs. transactions)
- Peak hours and traffic pattern identification
- Store zone heatmaps showing where customers spend time
- Multi-store traffic comparison for chains
Key Features
AI Visitor Counting
YOLOv6 computer vision model detects and counts visitors from camera feeds in real time. No sensors or hardware required beyond existing cameras.
Conversion Rate Tracking
Compare foot traffic against POS transaction data to calculate true conversion rates by hour, day, and store.
Traffic Pattern Analysis
Identify peak hours, slow periods, and traffic trends. See hourly and daily breakdowns to optimize staffing and operations.
Zone Heatmaps
Track where customers spend the most time in your store. Use spatial data to improve product placement and floor layouts.
Multi-Store Comparison
Compare visitor counts, conversion rates, and peak hours across multiple store locations from a single dashboard.
Performance Dashboards
Management-level dashboards with key retail metrics: traffic volume, conversion rate, average dwell time, and period-over-period trends.