Paper Title
Super Market Basket Analysis with Mix-&-Match

Abstract
In today’s world, Data is one of the most important asset of a firm’s resources. In many organizations, database management system are playing a vital role for managing and manipulating data. Although many companies were unable to utilize the whole database management system which leads to getting lack of knowledge from the data. Ultimately this causes dissatisfying decision making based on the data present in database. The data representing different products throughout the transactions were generated from a structured database representing a supermarket store's sales pattern. From the data given above, repetitive occurrence of purchasing these items was found which results in formation of many association rules. From this rules, it was concluded that purchasing one item would always lead to purchase of another item like in the case of Maggie and Maggie Masala. This relationship will lead companies in the planning of marketing and advertising schemes to help them run their competitors on the market and we have also introduced the concept of Mix-&-Match, where we can get the item in our market cart with same amount but with different companies, as it will help buyer to get the one more benefit with the other in the same amount. This strategy will help retailers of supermarket to advertise and sell many more items with a one or another item. This paper represents a process to study the regular habit of customer in super market & find the relation between the different items present in their market cart. With the help of this data, the retailers will get a profit making sales strategy. Keywords - Mix-&-Match, Apriori Algorithm, Data Mining, Association Rule Miming, Market Basket Analysis.