Artificial Intelligence for Fashion Industry in the Big Data Era

• Corporate Author: SpringerLink (Online service)
• Other Authors: Thomassey, Sébastien (Editor, http://id.loc.gov/vocabulary/relators/edt), Zeng, Xianyi (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Springer Series in Fashion Business,
• Subjects: Market research.; Textile industry.; Artificial intelligence.; Market Research/Competitive Intelligence.; Textile Engineering.; Artificial Intelligence.

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...

Table of Contents:

• AI based fashion sales forecasting methods in big data era
• Enhanced Predictive Models for Purchasing in the Fashion Field by Applying Regression Trees Equipped with Ordinal Logistic Regression
• A Data Mining Based Framework for Multi-Item Markdown Optimization
• Social Media Analytics for decision support in Fashion Buying Processes
• Review of Artificial Intelligence Applications in Garment Manufacturing
• AI for Apparel Manufacturing in Big Data Era: A Focus on Cutting and Sewing
• A Discrete Event Simulation Model with Genetic Algorithm Optimization for Customized Textile Production Scheduling
• An intelligent fashion replenishment system based on data analytics and expert judgement
• Blockchain based secured traceability system for textile and clothing supply chain
• Artificial intelligence applied to multisensory studies of textile products
• Evaluation of Fashion Design Using Artificial Intelligence Tools
• Garment wearing comfort analysis using data mining technology
• Garment fit evaluation using machine learning technology.