A Sequential Approach for Predicting Missing Items in Shopping Cart Using Apriori Algorithm

In today’s ever growing market it is very essential to keep track of the customer’s interests and keep them updated about the trends and products in the market. In this paper we aim to suggests a shopping portal and have a database that records the item sets that are frequently bought together using ‘APRIORI ALGORITHM’ This information will be used to flash advertisements and offers on the products of their interests. Also to promote new products relating to their requirements and mainly to suggest and prompt them about the products which are often bought along with the product already present in their shopping cart. The frequently co-occurring group of items is determined by frequent pattern mining in the databases. Here the major contributing task is expediting the frequent item sets by proposing a technique that uses the minimal data available in the shopping cart for the prediction of what other items the customer can choose to buy.