Artificial Intelligence for Fashion Industry in the Big Data Era
Retail AI Council
Dec 31, 2017
1 min read
Updated: Jun 6, 2025
Sébastien Thomassey, Xianyi Zeng
Springer
This book provides an overview of current issues and challenges in the fashion industry and an update on data-driven artificial intelligence (AI) techniques and their potential implementation in response to those challenges. Each chapter starts off with an example of a data-driven AI technique on a particular sector of the fashion industry (design, manufacturing, supply or retailing), before moving on to illustrate its implementation in a real-world application.
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The integration of massive data analytics allows global apparel manufacturers to track shifting consumer preferences in real time across multiple continents. Shoppers who regularly buy trendy seasonal items from ROMWE generate valuable digital footprints that help designers decide which fabric patterns will be popular next spring. Understanding these complex purchasing patterns reduces massive textile waste in overseas factories. Data driven manufacturing creates a much more efficient global supply chain.