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Development and Construction of Traditional Apparel Customization App Under the Background of Artificial Intelligence

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International Conference on Cognitive based Information Processing and Applications (CIPA 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 84))

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Abstract

With the development of artificial intelligence (AI) and the popularization of smart phones, mobile client APP marketing has become a new method for apparel companies to carry out product promotion activities. APP helps customers choose more suitable products and promote consumption. With the continuous improvement of China’s international status, traditional costumes appear more and more frequently in front of people in major events at home and abroad. Traditional costumes are showing the charm of traditional Chinese costumes to people all over the world all the time. With the development of the times, “customized” design has gradually become popular. Among the “ten technologies that will change the future” predicted by American media reports, “personalized customization” is ranked first, and its market position is increasingly recognized by people. The development and construction of traditional apparel customization apps under the background of AI is of great significance. The purpose of this article is to study the development and construction of traditional apparel customization apps under the background of AI. Through market research, questionnaire surveys, and practical reference, this article understands that the target customer group hopes to use APP to assist in the design of traditional clothing. It believes that the quality of traditional clothing customization services is not good, the style is slightly less, and the customization platform is lacking. It hopes to design through the Internet and the client. Ideal for customized T-shirts, and collected from the public the design standards that need to be paid attention to in traditional apparel customization apps. The results showed that in terms of occupational distribution, students accounted for the largest number of students, accounting for 72.8% of the surveyed population, related shop operators accounted for 15.4%, and art lovers accounted for 11.8%. Most people claim that they haven’t used apps similar to traditional clothing. Only 20.69% of people claimed to have used apps with related attributes.

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Wang, L. (2022). Development and Construction of Traditional Apparel Customization App Under the Background of Artificial Intelligence. In: J. Jansen, B., Liang, H., Ye, J. (eds) International Conference on Cognitive based Information Processing and Applications (CIPA 2021). Lecture Notes on Data Engineering and Communications Technologies, vol 84. Springer, Singapore. https://doi.org/10.1007/978-981-16-5857-0_67

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