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dc.contributor.authorDharmasiri, NTD
dc.contributor.authorHettige, B
dc.date.accessioned2023-06-28T09:03:11Z
dc.date.available2023-06-28T09:03:11Z
dc.date.issued2022
dc.identifier.urihttp://ir.kdu.ac.lk/handle/345/6485
dc.description.abstractDressing or clothes is a fundamental need of human beings that do not have a particular gender. Fashion design is a very demanding industry that involves many of the concepts, requirements, and demands of human beings. An area like this, which has a huge involvement of people requires some sort of technology to solve its problems and give the best service to the consumers. So, like every other industry, the fashion and Apparel industry also has some issues such as high production costs, wastage, customer dissatisfaction, and environmental pollution. In order to address these issues, Artificial Intelligence based technologies have been used, including Machine Learning, Decision Support systems, Expert Systems, Optimization, and Image Recognition & Vision. This review presents different research on Artificial Intelligence-based technologies and issues related to the fashion industry. Based on the operational procedures, this study's concerns are also divided into four areas, such as apparel design, production, retail, and supply chain management. In addition to that, Big data helps Apparel e-commerce retailers provide personalized offerings to customers. Machine learning and image processing techniques are commonly used to develop data-driven solutions using product-related data provided by Apparel product manufacturers & designers, and also these technologies help the supply chain to improve business operations.en_US
dc.language.isoenen_US
dc.subjectFashion designingen_US
dc.subjectArtificial intelligenceen_US
dc.subjectbig data analyticsen_US
dc.titleA review on the application of Artificial Intelligence in the Fashion and Apparel Industryen_US
dc.typeArticle Full Texten_US
dc.identifier.facultyComputingen_US
dc.identifier.journalKDU IRCen_US
dc.identifier.pgnos491-498en_US


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