MINING CAFÉ SALES DEMAND USING DEPENDENCY ASSOCIATION AND TIME SERIES TECHNIQUES

FERNANDO S*. VIRAY JR.
Page No. 1-10

Creating product combinations or pairing with an intention to increase sales revenue while at the same time properly control product inventory stock balance is key in the successful operation of any enterprise. This study focused on analyzing a substantial previous sales transactions with the use of dependency association, affinity, time series, and visualization techniques of data mining in identifying saleable coffee shop product pairs, determining the appropriate product stock balance, and validating such findings with the use of common data mining statistical techniques. The results can help a local café in innovating marketing strategies and providing superior product value to customers. A comparative analysis of sales transactions’ history was performed to validate findings and establish a significant degree of accuracy.
Keywords : coffee shop product pairing, café sales analysis, dependency association, affinity model