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: | , , |
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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 |