Artificial Intelligence for Fashion Industry in the Big Data Era

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.

Sébastien Thomassey (PhD) is currently associate professor at the "Ecole Supérieure des Arts et Industries Textiles" (ENSAIT) and the GEMTEX laboratory. He gained an MSc(Eng.) in textile and clothing production from the ENSAIT in 1999, an MSc in advanced data analysis from the Lille I University in 1999 and a PhD in automation and information technology from the Lille I University in 2002. He was an engineer in R&D at the French technical center for the textile/clothing, IFTH, from 1999 to 2002 and a researcher at the Mathematic and Operational Research Laboratory of the Polytechnic Institute of Mons in Belgium in 2003. His research is mainly focused on the implementation of soft computing and data mining techniques for modeling, simulation, supply and production chain optimization, forecasting sales of clothing products, clustering, classification and decision support systems for textile/apparel industry. His work has been published in refereed journals, such as Applied SoftComputing, Decision Support Systems, European Journal of Operational Research, and the International Journal of Production Economics,. He is actively involved in research projects in production and supply chain management, sales forecasting and clustering/classification of fashion products. He has also participated in various European and national research projects related to sustainable textile design and management, simulation and optimization of manufacturing units, clustering and classification of 3D morphologies for intelligent sizing systems, and sales-forecast-based simulation in pricing strategy.
X.Y. Zeng received the B.Eng. degree from the Department of Science and Technology, Tsinghua University, Beijing, China, in 1986, and the Ph.D. degree from the Centre d'Automatique, Université des Sciences et Technologies de Lille, Villeneuve d'Ascq, France, in 1992. He is currently a Full Professor with the French Engineer School, Ecole Nationale Supérieure des Arts et Industries