Introduction: Artificial Intelligence for Fashion Industry in the Big Data Era

  • Sébastien Thomassey
  • Xianyi Zeng
Part of the Springer Series in Fashion Business book series (SSFB)


With the emergence of the big data era, companies, and more especially fashion companies, are faced with a new relationship between consumers, suppliers, and competitors. Fashion companies have also to manage different data with many and complex correlations and dependencies between them and uncertainties related to human factors. It is crucial for companies to master these data flows to optimize their decision making. In such situations, artificial intelligent techniques are particularly efficient. The potential applications of artificial intelligence in fashion industry cover a wide scope from design support systems to fashion recommendation systems through sensory evaluation, intelligent tracking systems, textile quality control, fashion forecasting, decision making in supply chain management or social networks and fashion e-marketing. Thus, this book aims to illustrate the different possibilities and advantages of artificial intelligence for the fashion industry in the big data era. This introduction chapter provides a brief description of each chapter of this book.


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© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.ENSAIT-GEMTEXRoubaixFrance

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