by Foorir | Oct 22, 2026 | Blog
What Is Employee Filtering Technology in Retail Analytics? Employee filtering technology is a feature in retail analytics systems that identifies employee movements and excludes them from customer traffic reports. By distinguishing staff activity from shopper visits,...
by Foorir | Oct 21, 2026 | Blog
Introduction: Why Does Staff Exclusion Need More Than People Counting? AI ReID technology can improve staff exclusion accuracy by helping a people counting system recognize recurring individuals across multiple observations and combine that information with employee...
by Foorir | Oct 20, 2026 | Blog
The 140th China Import and Export Fair (Canton Fair) has successfully concluded, bringing together businesses from around the world to explore new technologies, exchange industry insights, and develop international partnerships. Chengdu Huaxin Zhiyun Technology Co.,...
by Foorir | Oct 20, 2026 | Blog
Staff exclusion is important for accurate retail traffic analytics because employees can be counted as shoppers when they enter or leave a store. If these movements remain in customer traffic reports, retailers may underestimate conversion rates, misread peak shopping...
by Foorir | Oct 19, 2026 | Blog
Introduction: Why Employee Filtering Matters in Retail A retail store may record hundreds of entries in a day, but not everyone who crosses the entrance is a customer. Employees move between the sales floor and stockroom, step outside during breaks, and return...
by Foorir | Oct 16, 2026 | Blog
Introduction: Why Accurate Customer Traffic Matters A store may record hundreds of visits every day, but not every person entering the store is a customer. Employees arrive for work, collect deliveries, move between departments, and leave for breaks. If every movement...
