A data-driven forecasting approach for newly launched seasonal products by leveraging machine-learning approaches
Abstract Companies in the fashion industry are struggling with forecasting demand due to the short-selling season, long lead times between the operations, huge product variety and ambiguity of demand information. The forecasting process is becoming more complicated by virtue of evolvi...
Main Authors: | Kharfan, Majd, Chan, Vicky W. K., Firdolas Efendigil, Tugba |
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Format: | Article |
Language: | English |
Published: |
Springer US
2021
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Online Access: | https://hdl.handle.net/1721.1/136919 |
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