Super Market Product Bundle Analysis

Abstract - In order to determine the most common items and the strongest relationship rules in a grocery shop dataset, this study used R to do a supermarket product bundle analysis. In order to provide frequent item sets, association rules, and other pertinent statistics like support, confidence, and lift, the analysis used the arules package. The analysis's findings showed that bread, milk, and eggs were the most frequently used items, with bread and milk having a close relationship. Additionally, it was discovered that the association rule between eggs and cheese had a high lift, pointing to a significant relationship between these two goods. The results of this study may be useful to supermarket managers in improving their comprehension of consumer purchasing habits and product placement in stores. The reader's comprehension of the insights and consequences of the analysis was improved by the use of tables, charts, and graphs to portray the results.