AI use information mining and computational knowledge calculations to further develop dynamic models. Market Basket Analysis is one of the main affiliation rule learning is an information mining strategy, Consists of examining the much of the time bought thing in the market container of clients. In the existing system is use a Apriority algorithm is used for finding frequent item sets. However, it takes longer to locate frequently used item sets because it must repeatedly scan the database, which is a time-consuming procedure. The proposed method was created to address the shortcomings of the existing approach. The ECLAT algorithm is utilized to separate successive item sets from the data set, and afterward the affiliation rules are made.