Multi-Vendor System

Abstract

Multi-vendor market place allow the vendors sell their products by setting up an exclusive store front. The merchants can oversee co-ordinations, stock, item increments, and so on at their own end. The proprietor of the commercial center can acquire a commission on the offer of each item or by the other income age models. Online e-commerce sites are becoming more. Popular these days and generally meant for online shopping. Every person now-a-days is likely to buy products online as there are more discounts, reviews, ratings of the products. Huge number of alternatives are retrieved for the single user feature input set for a user interested product leading to information overload. This large amount of information will confuse and stop the consumer at some point of purchase. Moreover if the customer is likely to buy the same product with less price, he needs to visit as many sites for the best product. This prompts draw the client’s significant time and exertion. In this paper we separate the information from some online business sites by web rejecting devices. We consider the price, rating, reviews, shipping and cash on delivery basic features from the extraction. Then collect the data from n domains to a single domain apply normalization. Then based on the attributes and features we calculate weight to each product and stored in a sorted order. Based on the user input the top-k products are displayed. Therefore the information overload is reduced and the cross comparison is displayed.