Market basket analysis is a data mining technique to discover associations between datasets. Association rule mining identifies a relationship between a large set of data items. When a large quantity of data is constantly obtained and stored in databases, several industries are becoming concerned with mining association rules from their databases. Market basket analysis examines customer buying patterns by identifying associations among various items that customers place in their shopping baskets. It is helpful to examine customer purchasing behavior and assists in increasing sales. So, this system is intended to develop a system for market basket analysis on Electronic showroom which will generate association rules among itemsets with the use of ECLAT (Equivalence Class Transformation) algorithm. This system supports the decision-making process for a market expert.