FOORIR

Store traffic measurement is the process of tracking how many people enter and exit a retail location. It is typically done using sensors or AI systems. However, without filtering, the data includes noise. Valid Footfall improves measurement accuracy.

An AI people counting system uses computer vision and machine learning to detect and track individuals in a physical space. It analyzes video feeds to count entries and exits. Advanced systems further process this data to generate Valid Footfall by filtering non-customer activity.

Store traffic includes all types of visitors, not just customers. Employees, delivery personnel, and repeated visitors can inflate traffic numbers without contributing to sales. This is why raw traffic often does not match revenue. Valid Footfall helps align traffic data with actual sales performance.