Abstract
Nowadays, 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.
Original language | English |
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Title of host publication | Proceedings of the 2009 International Conference on Machine Learning and Cybernetics |
Pages | 3606-3610 |
Number of pages | 5 |
Volume | 6 |
DOIs | |
Publication status | Published - 10 Nov 2009 |
Event | 2009 International Conference on Machine Learning and Cybernetics - Baoding, China Duration: 12 Jul 2009 → 15 Jul 2009 |
Conference
Conference | 2009 International Conference on Machine Learning and Cybernetics |
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Country/Territory | China |
City | Baoding |
Period | 12/07/09 → 15/07/09 |
Keywords
- Expert system
- Fashion
- Mass customization
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Software
- Control and Systems Engineering