I Shopping: Intelligent Shopping and Predicate Analysis System Using Data Mining

摘要

E-commerce has become a major fact that affects the rapid development of the global economy for past few decades. With the growth of the information technology sector, internet and the mobile phone usage have increased greatly, which prompts retailers to attract more and more consumers to their shopping malls. As retailers tend to reach and keep the constant interaction, consumers no longer feel a peculiarity between e-shopping and offline shopping. What they all need is "Shopping". We emphasize revolutionary concept of connecting the consumers and the retailer real time and allow them to exchange important information. The "I Shopping: Intelligent Shopping and Predicate Analysis System" is a unique software bridge, which comforts to keep the constant connectivity among the retailers and the consumers. The important information gathered from the customer purchase behaviors are supplied to the retailers where they can analyze it to discover new patterns and trends using data mining. The system is able to do effective predicates on day-to-day sales and to improve the business in many different ways, with the aid of data forecasting. Also the newest and essential updates of the price and other retailer details are provided to the customer to ease their shopping troubles. The most suitable items for the customers are suggested by using a sensitively designed ontology. The most cost effective, nearest and a shopping mall which has all the requested shopping items is suggested to the customer to do their shopping using newly designed efficient filtering algorithms. So that the customers are totally released from the nuisance of choosing the most suitable shopping malls.