Store managers were tasked with predicting their daily sales for up to six weeks in advance. Store sales are influenced by many factors, including promotions, competition, school and state holidays, seasonality, and locality. With thousands of individual managers predicting sales based on their unique circumstances, the accuracy of results can be quite varied.
Followed Cross Industry Standard Process for Data Mining CRISP-DM
Modeling Technique – Time Series – ARIMA
Tools Used – Oracle DB/SQL, Excel, Tableau and R
Daily Sales prediction allowed better decision making in terms of location planning, Sales Planning, Promotions to improve sales
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