Author(s): Nishant Agrawal, Ankur Roy, Nitin Kr. Saxena and Priyanka Jain
Market Basket Analysis (MBA) is a retail organizational data mining method to determine product location and build sales promotion campaigns for different customer groups to enhance customer satisfaction and supermarket profitability. MBA aims to create a significant association between the group of products or categories. Here, in this study data mining approach has been proposed that uses customer visit segments sales data of 9835 and identified the rules, which predict the frequency of purchase of an item. As per the author’s knowledge, this is the first attempt to explore this evolving area of the retailing problem using data mining.