Supermarket analysis helps retailers understand which items customers buy together. By using association rule mining, researchers combined two algorithms, apriori and eclat, to find these correlations. Both algorithms work similarly but have different ways of processing the data. The study showed that the combination of these algorithms can help retailers create effective sales strategies based on what items are frequently purchased together by customers.