Intelligent E-commerce using Data Mining

Abstract

Huge amount of sales and purchase of data is generated everyday due to E-commerce websites activities. We used this data to improve the business of products selling and purchasing online. The purpose of our project is used this data and apply data mining techniques on this data to analyse sales and purchases of the online products. Like which products are customer like to purchase and which are not. Our project also suggests and recommends products to customer by analysing the customer’s behaviour. We identified latest trends of products (which products people like to buy) draw patterns (which products are mostly sold in which month, which are in trending etc.) from collected data. We have used Apriori algorithm of association rule mining at customer side for recommending products to customers based on their previous orders. We also used K-means algorithm of clustering at the admin side for making clusters of revenue generation of customers, how frequently and recently a cluster purchased products. In this way, product seller can make new strategies and attract more number of customers to successfully run his/her business. Our project is for small businessmen which sell limited products.