Recommender System for Shopping: A Design for Smart Malls

Abstract

The population is growing day by day. World is moving towards advanced technologies which makes life easier and hence there is a need of smart city. Such smart city also needs smart malls which deliver the wonderful experience of shopping. Whereas many e-commerce sites give priority to each and every consumer by sending notifications about upcoming offers and sale, about the launch of new products, and predicting and showing a list of items customers may like to buy. Malls are pretty bad at advertising offers and giving personalized experience to customers and make them feel special. Our system will provide a great experience of personalized shopping which will help them to buy the product. Our system will make use of customer’s previous purchase record, and current offers going on in the mall. The system will sort best offers that will be most relevant to his/her shopping style. The system will advertise using LCD’s and speakers that will come along with it, which will make it much more interactive with customers using Raspberry Pi which will make it a low-cost system. Also when the customer reaches nearby the mall, he will be shown only those products advertises in which he/she would be interested, this will make him/her feel special because of giving preferences to their choices. The user will also get notified by Android app or email, whenever products or offers of their interest that would be launch in the mall. The system will keep customers connected to the mall even if they are working in an office or resting at home or roaming in the mall.