The goal of the study was to understand how customers at a store buy products by using a method called association. The researchers used a special algorithm called apriori to analyze sales data and find patterns in what customers buy together. By doing this, store owners can organize products better and create effective marketing strategies. The results showed that customers who buy Pants with code 1076 are also likely to buy Pants with code 0814, with a high level of confidence. This information can help businesses make decisions on product placement and marketing campaigns to increase sales.