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.
Tech Stack
Python, PyTorch, Yolo, Java, Kubernetes, Jupyter, Git.
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.
Tech Stack
Python, PyTorch, Yolo, Java, Kubernetes, Jupyter, Git.