Cutting Edge Video Analysis Technology
RetailFlux queue management solution utilizes the in-store CCTV cameras monitoring the queuing areas. The real-time video footage from the cash desk cameras is processed by our property video analytic software. Shopper activities in a pre-defined queue region area are detected and analyzed instantly in order to identify customer service performance. Retailflux queue monitoring cameras can measure variety of metrics powering its AI based prediction engine. The metrics include;
AI Powered Predictions
Eliminate the queue incidents before happening
By combining RetailFlux people counting and sector analysis data with the queue managements system, it is possible to detect queuing incidents prior to 30 minutes. The RetailFlux queue prediction software utilizes both queue and counter cameras in order to determine the possibility of having high or low queue density events in near future. The system can also provide longer term predictions such as daily or weekly.
Our queue prediction engine is based on a property AI model, which is trained by using real-world examples of queuing incidents. The notifications generated by the system are directly delivered to the shopkeepers. By this way, allocating sufficient number of cashiers will keep the queue density levels in an optimal stage.
Want to know more about our queue management solutions?
Drop us a message!