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Case Study: Retail

Computer vision can prevent loss in retail business

Business Problem:

Bottom-of-basket(BoB) items in a shopping cart is a major source of loss of revenue in retail and this could run into billions of dollars.

Abzooba Solution:

The need for a solution to minimise BoB loss through Deep Learning by identifying if the cart is empty or not. TensorFlow was used as AI library, Visual Geometry Group (VGG) 16 Pre-trained on ImageNet database and Convolutional Neural Network was used to build at least 96% accuracy.

Business Benefits:

Tighter shrink control translated into better annual profits up to $60,000 per departmental store. Front end productivity also increased as transactions moved faster through the lane.

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