Nota has delivered advanced in-store inventory management solution to E-mart, the largest retailer in South Korea. Our real-time object detection and segmentation model understands the inventory level of the consumer goods on store shelves to give alerts when certain items are out of stock. We have developed the service without changing any shop display, which can mean that our solution can be applied in a variety of store environments. Also, by compressing the size of the AI model, we have reduced the computing resource and power on the server, allowing E-mart to benefit from the reduction in the server maintenance cost. Now we’re expecting the pilot project to run successfully throughout the year.