CSEIT206285 | Accepted : 08 April 2020 | Published : 15 April 2020 | March-April-2020 [ 6 (2) : 345-350 ] International Journal of Scientific Research in Computer Science, Engineering and Information Technology © 2020 IJSRCSEIT | Volume 6 | Issue 2 | ISSN : 2456-3307 DOI : https://doi.org/10.32628/CSEIT206285 213 Designing an Expert System for Online Grocery Shopping Store Sayli Patil, Anisha Soni, Shivani Pawar, Prof. Sonal Chaudhari Department of Computer Engineering, Datta Meghe College of Engineering, Navi Mumbai, Maharashtra, India ABSTRACT In this digital era consumers prefer online shopping to save time. But in their busy schedules it can be time- consuming to choose items as per their requirements. The area of our project is to create a user friendly and easily available application for purchasing mechanism. This application will be easily available on the internet for users to download it and then install it. To start, offer only the most popular grocery items, like milk and bread, and as the business expands, so can your product line. The operating format for the app would be very easy to establish. Customers would simply log on to the app, select the items they wish to purchase, enter payment and shipping information and wait for their groceries. We propose the solution using an application designed on Android Operating System platform. We choose this platform base since Google’s Android is one of the foremost reasons of this mobile revolution. Keywords : Agrofresh, Online Grocery Store I. INTRODUCTION The term "Electronic commerce" (or e-Commerce) refers to the use of an electronic medium to carry out commercial transactions. Most of the time, it refers to the sale of products via Internet, but the term eCommerce also covers purchasing mechanisms via Internet. A client who purchases on the Internet is called a cyber consumer. E-Commerce is not only limited to online sales, but also covers: 1. Preparation of estimates online 2. Consulting of users 3.Access plan to point of sales 4.Quality assurance 5.Online payment MOTIVATION “If shopper continue to value innovation that offer convenience and time-saving solutions they will have less and less direct interaction with the retailers and brands. Gathering more customer data and using it to achieve long-term shopper loyalty will be critical for retailer and brands going forward. This will likely take the form of artificial intelligence using customer information to predict and fulfil shopper demand via automated delivery.” II. EXISTING SYSTEM The existing system is an automated system. But it was found to be inefficient in meeting the growing demands of population. • It is limited to a single system. • It is less user-friendly.