ShopperTrak

ShopperTrak, a solution by Sensormatic, leverages computer vision technology to provide detailed analytics on shopper behavior in retail environments. This technology integrates various data sources, including video analytics, Bluetooth, Wi-Fi, and BLE Beacons, to monitor and understand customer movements and behaviors within stores and shopping centers.

The system's primary capabilities include:

1. People Counting: Accurate counting of visitors entering and exiting the store, providing up to 98% accuracy. This helps retailers understand foot traffic and optimize store operations accordingly.
2. Traffic Patterns and Peak Times: Detailed insights into when stores experience the most traffic, helping in better staff scheduling and promotional planning.
3. Shopper Journey Analytics: Analyzes how customers move through the store, identifying popular areas and potential bottlenecks, which aids in improving store layouts and product placements.
4. Market Benchmarks: Offers year-over-year trend analysis and comparisons against similar stores in different geographical areas, helping retailers understand their performance relative to the market.
5. Computer Vision: Utilizes deep learning AI models to provide advanced operational insights, which can be integrated with existing camera infrastructure, making the deployment cost-effective and straightforward.