Case Study: a food retailer reduces waste and labor costs with Amzur Technologies' automated AI quality inspection solution

food retailer cuts product wastage by 25% with Amzur Technologies

A food retailer sought assistance from Amzur Technologies to optimize its manual quality inspection and waste management processes for fruits and vegetables. The client wanted to leverage an automated AI solution to reduce both labor costs and the volume of wasted products.

Amzur Technologies developed a computer vision model using video intelligence and a pre-trained ResNet 50 network to predict produce quality. This solution, embedded on an NVIDIA Jetson Nano device, resulted in a 25% reduction in product wastage within the first week and a 35% reduction in manual labor costs after four months of operation.