People counting and queue systems

People counting systems in the retail provides data for store traffic and conversion rate, i.e. the percentage of a store visitors that makes purchases.

Periodically comparing traffic counts and conversion rates enables retailer to measure store performance year-over-year or compared with other stores. Accurate people counting data helps planning and optimizing staff and other store operations (cleaning, repairs etc.). Advanced people counting technology provides data for queue management and customer tracking.'

Shopping malls rely on visitor statistics for their marketing. With people counting, shopping mall owners can measure tehir marketing activities effectiveness  and adjust rent according to the total number of visitors to the mall. Public buildings are often rated to hold maximum number of occupants. Although no people counting system is 100% accurate, electronic people counting system offers relatively accurate measurement statistics.

Many public organizations (libraries, museums etc.) use people counting for tracking visitor traffic. If tickets are not sold, automated people counting provides data of how many clients used services.

Many solutions, large and small, are available utilizing different technologies: infrared beam across an entrance, computer vision with CCTV or IP camera, thermal imaging detecting heat sources and others.

Queue management systems disburse ticket ranking for a service with clear order identification and thus enable organized and stress-free waiting. System’s features allow planned reception by appointment or remotely on smartphone or SMS. Servicing turns and locations are clearly marked with visual and audible signals. Information monitors provide data about dynamic queue length, waiting time etc.

Queue management systems help to enhance customer experience at retail, banks, airport security, government services etc. Queue management systems enable managers to improve efficiency and reduce costs. By counting people at entrances or queue areas, predictive algorithms provide advance notice on how many service points will be needed to ensure quality customer service. Management will automatically be alerted, allowing them proactively manage the situation. Key measurements produced are:

  • Number of customers in premises
  • Queue length
  • Average wait time
  • Customer service person idle time
  • Total wait time

Queue management systems can be centralized to enterprise solutions. Connected queue management systems enable centralized management to reduce costs, utilize network connectivity and report customer flow data.