• Tanmay R. Wagh
• Shubham G. Chopdekar
• Vidhya R. Vasekar

Now a day’s customer faces problems, to check availability of product in nearest supermarkets. And Retailers also cannot interact with multiple customers at a time or they don’t entertain each and every customer quickly. And it is also difficult for the retailer, to collect the customer’s requirements and making accurate products available in supermarket. In case, any customer requires any goods immediately, they cannot go for online shopping, because it takes time in delivery of that particular product. At that time, they can search the product in his nearby location. The overall structure is to help know the customer which is the products he intends to search. By having a searching mechanism the user can easily have his/her products by just standing outside the shops. He can also check the various commodities and its price tag on it, whether he goes for the product is according to his needs. The availability must be checked by having certain steps to the application which makes it easy for searching. A person can check the shops in full detail by using set of algorithms and software stages. This makes it easy to find the detailed product where user wants to buy. An application is done for this by using a set of specific algorithms of machine flows. Online shopping is done easily and due to product searching in nearest shops, product delivery becomes quick

Online supermarket system, Artificial Intelligence, Optimal Character recognition (OCR), K nearest Neighbor (KNN), Convolution neural network (CNN), Google map, Image recognition

"A Smart Online Grocery Shop System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.67-72, May-2019, Available :http://www.jetir.org/papers/JETIRBO06010.pdf

"A Smart Online Grocery Shop System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp67-72, May-2019, Available at : http://www.jetir.org/papers/JETIRBO06010.pdf