This is a solution for offline stores to serve their customers more effectively by providing targeted advertisements and offering customers the products based on their buying patterns of their past. The solution provides to the offline stores a means of understanding the needs of their customers more precisely so that they can offer products accordingly. The solution uses data analytic and machine learning for buying habits and identification of the customers respectively. The solution includes mobile application and web interface. The mobile application is used for targeted advertisements and identification of customers at the stores. The web application is used for analytic of data of customers. The analytics infer the buying patterns of the customers.
The solution is an integration of hardware and software. It is based on Near FieldCommunication (NFC) devices like beacons and IoT.