Revamping Supermarkets With AI and RSSi

Super markets are mushrooming in every city as shopping has became a daily activity. An average person goes to shopping 1.6 times in a week and spends approximately 40 minuets there per visit. This sums up to around 60 hours every year. Around 15 of the time spent in the supermarkets is wasted due long billing queues and weighting for the turn. On public holidays and special discount days, there will be a significant upsurge in the number of customers. With the present system it sometimes becomes difficult to manage the rush. The traditional way of shopping in which people put the articles in the shopping cart and wait in the long queues at the billing counter is being followed pretty much since the opening of first supermarket. This paper proposes a feasible and cost effective method to save time and reduce queues at the billing counters with Artificial Intelligence. The goal is to design a shopping cart which uses AI and IoT to scan the product as soon as it is kept in the cart. People have been already developing these carts using RFIDs for years but the proposed project isn’t just about RFIDs. It is a complete evolution of a shopping cart altogether using TensorFlow’s object detection. This will save time and make shopping easier and better. It’ll also help stores to make more profits and help the customers save money at the same time.