Retailing is an industry with high level of competition. It is a customer-based industry which depends on how it couldbe aware of what the customers' needs and requirements are. One technique most used in supermarkets is the mixmerchandise. The purpose of this paper is to identify associated products, which then grouped in mix merchandise withthe use of market basket analysis. This association between products then will be applied in the design layout of theproduct in the supermarket. The process of identifying the related products bought together in one transaction is doneby using data mining technique. Apriori algorithm is chosen as a method in the data mining process. Using WEKA(Waikato Environment for Knowledge Analysis) software, the association rule between products is calculated. Theresults found five category association rules and fourteen sub-category association rules. These associations then willbe interpreted as confidence and support to become consideration for the product layout.