The association rule mining is one of the primary sub-areas in the field of data mining. The technique has been used in numerous practical applications, including customer market analysis. The discovery of interesting association relationships among huge amount of business transaction records can help in many business decision making processes. With massive amount of data continuously being collected and stored in databases, many companies are becoming interested in mining association rules from their databases to increase their profits from large amount of transaction data. This system is intended to develop a system for market basket analysis on Store which will generate strong association rules among itemsets with use of vertical data format. The processing times of vertical data format and horizontal data format are also measured and compared in this paper.