Unveiling the Wave: Unraveling Sales Trends and Unlocking Market Basket Insights

This article presents sales trends and market basket analysis for Food Beverages (F&B) items recommendation using linear regression time series association rules. The purpose of this study is to help businesses make better informed decisions by understanding their customers’ purchasing behaviors the F&B items. includes both cross- selling up-selling patterns analysis. To improve analysis, food name clustering has been carried out group those foods having similarity ratio higher or equal 80 based on Levenshtein distances between names. analyzes data from a mobile app platform that register Malaysian hawkers (or merchants) users buyers) who sell purchase respectively. rules product recommendations examining FP-Growth relationship bought. provides valuable insights local are looking data-driven while planning marketing activities. It helps either up cross-sell products more effectively.