In the current commercial application, the e-commerce applications give the only recommendation of the particular tastes only when one is interested in a particular item. The recommendation is also very much related to the item the user is interested in. Though this system works well it lacks the personalized experience that the user can get when purchasing an item through an offline vendor. This can be achieved by aggregating the recommendation engine within a virtual assistant. In our proposed system the user will be getting the online e-commerce experience with a personalized buying assistance that one gets while buying through an offline retail vendor.