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On AI Promoted Apparel Mass Customization
Qian-Qian Sun, Xi-Wen Hu, Xiao-Dong Sun

Journal of Fiber Bioengineering & Informatics

Publication Date : 2023-02-17

  • Abstract

The traditional apparel industry faces challenges by the quarantine of global COVID-19 pandemic dramatically. The AI technics provide promising solutions for apparel industry shift from labor intensive to technic intensive for survival. However, there are many open problems on how AI could find its application in mass customization. This paper presents practicable methods, framework and the curial technologies of AI promoted apparel mass customization. The AI cloud will apply in traditional knowledge management of customers (KM) with which AI cloud been trained and make predication of trends and customer’s personalization and enable personalized AI recommendations. With the AI measurement the flexible digital research development technics can automatically generate personalized patterns and virtual garment prototype based on different body shapes. By using the RFID label, the AI cloud could provide easily quality control, products tracing back in producing process and AI logistics. Those solutions and key technologies will benefit the process of apparel industry 4.0.

  • Copyright

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