AI-Driven Digital Transformation Technology in Modular Fashion Design: Toward Adaptive and Sustainable Apparel Systems Rahayu Purnama, Widya Azzahra, Himawan Hadi Sutrisno, Yuan Xing, Rosita Mohd Tajuddin, Muhamad Aiman Afiq Mohd Noor
a, b, c ) Universitas Negeri Jakarta
Jl. Rawamangun Muka Raya No. 11, RT.11/RW.14, Rawamangun, Kec. Pulo Gadung, Kota Jakarta Timur, Daerah Khusus Ibukota Jakarta 13220
d) Xi^an University
No. 28, Jalan Xianning Barat, Distrik Beilin, Xi^an, Provinsi Shaanxi, Tiongkok, 710049
e, f) Universiti Teknologi Mara
Jalan Ilmu 1/1, 40450 Shah Alam, Selangor, Malaysia
Abstract
The integration of Artificial Intelligence (AI) within the digital transformation paradigm has significantly reshaped modular fashion design, enabling the development of adaptive and sustainable apparel systems. This study aims to design and evaluate a multifunctional patchwork denim jacket as a solution to fast fashion issues through a sustainable fashion approach, particularly the timeless concept. The products consist of five jacket designs with transformable functions, allowing them to be converted into a bag, vest, outerwear, and dress. This research employs a descriptive quantitative method with a one-shot case study design, in which the products are evaluated by five expert panelists based on product quality dimensions Kotler & Keller (2016), including features, performance quality, and conformance quality, as well as design principles Sumayarti (2013), namely proportion, harmony, and rhythm.
The findings indicate that all products meet the criteria of product quality and design principles, with overall evaluations categorized as excellent. In terms of product quality, performance quality and conformance quality achieved the highest scores due to the durability of materials and the effectiveness of transformation features such as zippers. Meanwhile, in design principles, rhythm and harmony received the highest ratings, while proportion scored the lowest. The application of patchwork techniques successfully creates new aesthetic value while promoting sustainability through the utilization of denim waste.
Furthermore, the incorporation of AI-driven approaches, such as digital design simulation and modular configuration optimization, supports more efficient design processes, reduces material waste, and enhances product adaptability. This study highlights that multifunctional fashion design combined with digital transformation technologies can serve as an innovative solution in the fashion industry, fostering sustainable practices while educating consumers toward environmentally responsible lifestyles. Future research is recommended to explore consumer-based evaluations, the integration of advanced AI systems for design optimization, and the use of alternative sustainable materials to further enhance the scalability, durability, ergonomics, and impact of modular fashion systems.
