Customer Large retail company in Eastern Europe, several hundreds of physical stores.
Challenge Develop of an automated service for controlling queues in stores to increase customer loyalty and reduce the level of lost customers.
Project Results Computer vision model powered by Deep Learning algorithms has been developed (Yolo and customized architecture) in order to automatically detect queue in store based on video stream from in-store cameras.
Business Value The speed of response to the emergence of a queue has increased in 3 times.