vithika-karan/Retail-Sales-Prediction
Sales Prediction : Predicting sales of a major store chain Rossmann; Rossmann operates over 3,000 drug stores in 7 European countries. Currently, Rossmann store managers are 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. You are provided with historical sales data for 1,115 Rossmann stores. The task is to forecast the "Sales" column for the test set. Note that some stores in the dataset were temporarily closed for refurbishment.
This project helps retail store managers accurately forecast daily sales up to six weeks in advance. By analyzing historical sales data, including promotions, competition, and holidays, it predicts future sales figures. Store managers can use these predictions to make informed decisions on budgeting, staffing, and marketing strategies.
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Use this if you are a retail store manager or operations planner who needs reliable, data-driven sales forecasts to optimize daily operations and strategic planning.
Not ideal if you need to predict sales for a completely new store without any historical data or if your sales drivers are vastly different from typical retail factors.
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Jun 18, 2022
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