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