TY - GEN AU - Long, Xueying AU - Bui, Quang AU - Oktavian, Grady AU - F. Schmidt, Daniel AU - Bergmeir, Christoph Norbert AU - Godahewa, Rakshitha AU - Per Lee, Seong AU - Zhao, Kaifeng AU - Condylis, Paul PY - 2024 UR - https://hdl.handle.net/10481/97464 AB - The recent M5 competition has advanced the state-of-the-art in retail forecasting. However, there are important differences between the competition challenge and the challenges we face in a large e-commerce company. The datasets in our scenario are... LA - eng PB - Elsevier KW - Probabilistic forecasting KW - Gradient boosted trees KW - Global models TI - Scalable probabilistic forecasting in retail with gradient boosted trees: A practitioner’s approach DO - 10.1016/j.ijpe.2024.109449 ER -