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  -