Objectives: To give a good shopping experience to consumers in retail outlets. This is done by using the big data that is available with us and IOT to develop a mobile application that suggests products through his mobile.
Methods/Statistical analysis: The retail outlets can use the Big Data and IOT to give a better shopping experience to customers. This on another side can improve the business of retailers by converting the footfalls into business. The data is used to suggest products in the mobile based on shopping behavior. This method is already available in E tailing.
Findings: This approach is a novel initiative here.This can help people to buy more products in a short span of time as they now have will get suggestions from the retailer about the products. This will create a competitive edge for the retailer over others. This increases the loyalty of the consumers and retention of consumers will improve.
Application/Improvements: This technique which is followed in inventory management systems can now become a mobile application and improves shoppers experience and customers loyalty of brick and motor retailers.