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The Usage of Social Media Text Data for the Demand Forecasting in the Fashion Industry

  • Samaneh Beheshti-Kashi
  • Klaus-Dieter Thoben
Conference paper
Part of the Lecture Notes in Logistics book series (LNLO)

Abstract

The fashion industry faces different challenges in the field of demand forecasting. Factors such as long delivery times in contrast to short selling periods requires precise demand figures in order to place accurate production plans. This paper presents firstly the idiosyncrasies of the fashion industry and shows current fashion forecasting approaches. Then, the idea of applying social media text data within the demand forecasting process is presented by showing works of integrating user generated content in different application fields. Following the research question on the predictive value of social media text data for the fashion industry, the research objective and the methodology are formulated in a last step.

Keywords

Demand forecasting Apparel industry Social media Communities 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.BIBA-Bremer Institut für Produktion und Logistik GmbHUniversity of BremenBremenGermany
  2. 2.International Graduate School for Dynamics in Logistics (IGS)University of BremenBremenGermany

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