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Classification-based model selection in retail demand forecasting 1 Introduction 1 Problem statement and related literature 3 Business problem 3 Retail demand forecasting in the literature 4 Model selection in the retailing literature 5 Classification-based model selection 6 Generating labeled data 6 Selection of a classifier 7 Case study 8 E-grocery data 8 Feature selection 8 Sliding-window approach to model fitting and classifier training 9 Candidate forecasting models 9 Building labeled data 10 Training the decision tree 10 Benchmark approaches 10 Results 10 Discussion 12 Declaration of competing interest 12 Acknowledgments 13 Appendix A 13 Appendix B. Supplementary data 13 References 13