People Counting Analytics for Retail Chain Store

People counting Analyze footfall trend patterns on a daily, monthly, and yearly basis, providing businesses with valuable insights into customer traffic and behavior   Walk-in/Passersby Gain a deeper understanding of the foot traffic in the vicinity of the store, identify peak hours and days and assess the impact of marketing efforts on customer engagement.   Demographic analysis Provide businesses with invaluable insights into the characteristics of their customer base such as gender and age group analysis.   Remove interference data Use deep learning algorithms and RelD technology to accurately track traffic, filter out interference data such as non-customer groups (e.g., couriers and staff), and eliminate repeated counts.   Dwell time Our people counter, equipped with heatmap features, is designed to accurately count and visualize the duration customers spend at designated areas.   Heatmap analytics The heatmap visualization and zone analysis offer invaluab…