Customer Interest Areas Identification


Auto identification of areas/shelfs of interest in a store

Pain Areas

Distributing products across the shelfs is a tedious task, if done wrong too many customers will scatter at an area and some will skip the purchase due to rush

Keeping real time track of what most customers are buying is difficult

Data Points

Live feed from store cameras

Shelf item images


Computer vision models are used on the live camera feeds to tag areas where footfall is

Centralized dashboard will be used to monitor the products being sold most in real time

Business Outcomes

Increased store sales

Higher customer satisfaction

Easy operations management

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