Smart Basket Integration with Shopping Behavior Analysis

In this modernized society, people have become used to shopping, where individuals go to purchase their day-to-day essential items and furthermore need to pay for that they need to remain at a charging counter for quite a long time and again it’s a rushed interaction, on the other hand, people are less likely to remember what they actually need, they often miss out the relevant products to buy, at the same time the retailers usually lack in predicting the trends to manage their inventory that leads to wastage of products. So we will propose a “SMART SHOPPING BASKET AND SHOPPING BEHAVIOR ANALYSIS” which comprises a Radio Frequency Identification (RFID) sensor, Raspberri Pi microprocessor, Software Application, and a well-trained recommendation system, RFID tags are attached to every item and RFID reader reads the item data, those items will be displayed in a screen attached to the basket and with all these makes basket a smart and Intelligent Basket. It features a user-friendly application interface and recommendations of products that are frequently bought together, finally making the customer satisfied with an efficient service. By the customer data on a seasonal basis, the prediction of trends is offered, so that a retailer can utilise it to draw more customers and upscale the scales to an exponential level. This test model is planned to get rid of drawn-out shopping associations and the nature of organizational issues. The proposed structure can be easily implemented and tested on a commercial scale in future real-world scenarios. Furthermore, the proposed model is more competitive compared to others.