Liu N.TSAN MING CHOIYuen M.C.-W.Ng F.2022-05-302022-05-3020099.78E+12https://www.scopus.com/inward/record.uri?eid=2-s2.0-70350719363&doi=10.1109%2fICMLC.2009.5212789&partnerID=40&md5=7a347a927d82225f1dfe13375612b4b4https://scholars.lib.ntu.edu.tw/handle/123456789/612400Nowadays, fashion retailing business has become increasingly competitive. Some companies provide Mass Customization (MC) program to attract their customers and enhance sales and hence revenue. Since the customers do not have the professional knowledge on "mix-and-match" and "fashion coordination", most of the MC products cannot be the same as they desired, this may lead to dissatisfied customers and a large amount of returned products. In light of this, this paper proposes an MC expert system to offer the customers recommendations during the MC process. This proposed expert system can enhance customer satisfaction and also reduce the quantity of returned products. ? 2009 IEEE.Expert system; Fashion; Mass customizationExploratory studies; Fashion; Mass customization; Mix-and-match; Professional knowledge; Control theory; Cybernetics; Expert systems; Robot learning; Sales; Semiconductor counters; Customer satisfactionconference paper10.1109/ICMLC.2009.52127892-s2.0-70350719363