During the process of buying any product we generally take a look at other alternatives to the product we are buying along with the other products that may be useful. But during the process of e-commerce transaction, we cannot view the various products available that may be useful and this project helps to solve this problem. Using the products present in the current cart we can recommend users with products the other users have bought along with the product which in turn brings about user choices into play. Furthermore, we can provide users with better items that most other users have been buying and allow the users to view a dynamic and popular item. There are various implementations of “Apriori algorithm” each having a common concept of mapping user data with other users in order to predict if a user is going to buy a particular product or not. So, its use alone is not enough in order to provide the customers with best recommendation. Furthermore, recommendation is not the only problem that the user faces when buying an item form an e-commerce website. Technologies like Virtual Reality are taking over the e-commerce website where user can have the satisfaction of sensing the product before buying it. My product can be used in areas where user doesn’t have to sync or feel the product before buying it i.e., the Technological market where the user views specification of the product being bought rather than the look and feel of the product.