AI Vision gives machines a perception of sight — observing and comprehending surroundings so businesses can make decisions based on insight. In retail, people-tracking technology enhances the customer experience alongside boosting sales. In the past, only the most resource-rich retailers could use AI to monitor purchase trends; computer vision software has removed those barriers.
This whitepaper covers:
- AI Vision for people counting — how retailers identify people in camera-covered areas for a deep, continually-adapting understanding of customer needs
- The impact of COVID-19 — 41% of Malaysians decreased offline purchases (Rakuten Insight, 7,807 respondents); occupancy monitoring and capacity compliance became essential store operations
- Cost-effective, versatile, flexible — measuring overall shopper footfall, gaining shopper insights, optimizing marketing strategies, improving storefront displays, optimizing leasing rates, and ensuring safe shopping spaces
- Tapway PeopleTrack — state-of-the-art sensors, software, and cloud to detect, track, and count people with up to 99% accuracy* (*dependent on factors such as sensor calibration), visualized on dashboards: people count, demographics, and behaviour — including stitched multi-sensor views for large open spaces and real-time queue counting with configurable lines and zones
- How we ensure accuracy — lighting conditions, sensor calibration, sensor height and proximity, and understanding typical customer movement patterns
- Use cases — people counting and demographics (conversion rate, daily footfall), queue time optimization across floors, and marketing / operations / leasing applications
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