i-Shopping with Sensor Fusion for finding Customer Behavior using Deep Learning Algorithm

Nowadays many people are opting for online Retail shopping because there is no need to hassle at the checkout counters and the process of shopping is fast. What if people have the liberty to purchase the required products and leave without having to spend unnecessary time at the checkout counters? This could attract more customers to the retail stores and hence increase profits. ‘i-Shopping’ which is an amalgamation of deep learning techniques with analytical processing aims at removing checkout counters at Retail stores. This is possible through sensor fusion with RFID tags to determine the presence or absence of an item. Deep learning algorithms can be made applicable to determine the customer behavior and assess which item the customer has picked or returned to the aisles. The products are automatically billed to the customer account on the app and the soft invoice is provided to the customers.