Description
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
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.
