Forecasting sales using store, promotion, and competitor data
نویسندگان
چکیده
Sales forecasting is a common topic in business. Our task is predicting a famous drug company daily sales for 1,115 stores located across Germany for six weeks in advance. Store sales are influenced by many factors. Our project aims to create a robust prediction model. Based on Gradient Boosting and Random Forest, our model performs well in this sales forecasting competition with resulting in ranking at 977th/3066 and it is found that Competition had opened days, the day, competition distance affect drugs sales the most.
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