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Rossmann Store Sales Forecasting

Comparison of Seasonal Naive, Holt-Winters and HistGradientBoosting forecasts across 10 selected stores and a 42-day evaluation period.

Overall performance

Model comparison

Lower values indicate better forecasting accuracy.

Store analysis

Actual vs forecast

Consistency across stores

Store-level MAPE

The best value for each store is highlighted.

Store Seasonal Naive Holt-Winters HistGradientBoosting Best Model

Forecast design

42-day direct horizon

Training ended on 19 June 2015. The period from 20 June to 31 July 2015 was retained as the unseen test period.

Preferred model

HistGradientBoosting

It achieved the lowest MAE, RMSE and MAPE overall, and the lowest store-level MAPE for all 10 selected stores.

Important limitation

Controlled evaluation

Results are based on 10 selected stores and one holdout window. Wider deployment should be validated across more stores and periods.