Demand Forecasting in the Fashion Industry: The Shift to AI-Based Methods

  • This work aims to analyze and cluster demand forecasting methods and approaches in previous research endeavors which have been recently going through an obvious trend and direction towards a more digital supply chain and automated forecasting methods. For this, developments in the fashion industry are addressed and previous forecasting methods are linked to current market features. Current existing challenges and barriers are identified in order to be able to propose future research areas and framework in demand forecasting in the Fast Fashion Industry.

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Publishing Institution:IRC-Library, Information Resource Center der Jacobs University Bremen
Author:Samia Hubeishi
Persistent Identifier (URN):urn:nbn:de:gbv:579-opus-1010710
Series (No.):Jacobs University Technical Reports (43)
Document Type:Technical Report
Year of Completion:2018
Date of First Publication:2022/04/12
Academic Department:Mathematics & Logistics

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