Logistieke optimalisatie in retail: slimme algoritmes voor herbevoorrading. KU Leuven
Until very recently, there was limited evidence to suggest that data-driven machine learning (ML) methods improve sales forecasting to optimize retail operations. However, since 2015, ML-based forecasting has dominated the most recent retail sales forecasting competitions. Despite their superior performance, simple statistical forecasting techniques remain widely used in the retail industry. This is partly because, for all their advantages, ...