Fashion Cerdas: AI dan Masa Depan Industri Mode
DOI:
https://doi.org/10.32877/bt.v7i3.2242
Keywords:
AI, Fashion Cerdas, Industri Fashion, Kecerdasan Buatan, Sustainability
Abstract
Industri fashion mengalami transformasi fundamental dengan integrasi kecerdasan buatan (AI) dalam berbagai aspek, mulai dari desain, produksi, hingga pemasaran. AI telah merevolusi cara industri ini beroperasi dengan memungkinkan personalisasi tren, prediksi permintaan pasar, serta optimalisasi rantai pasok secara lebih efisien dan akurat. Teknologi berbasis machine learning, computer vision, dan natural language processing berperan dalam menganalisis data konsumen, mengembangkan desain otomatis, serta meningkatkan pengalaman pelanggan melalui sistem rekomendasi berbasis AI. Selain itu, AI berkontribusi dalam pengurangan limbah produksi melalui optimalisasi penggunaan bahan baku dan prediksi tren mode yang lebih presisi, sehingga meningkatkan aspek keberlanjutan industri fashion. Penelitian ini meninjau penerapan AI dalam industri fashion dengan fokus pada berbagai teknologi inovatif yang digunakan dalam pengembangan desain fashion, e-commerce, serta manajemen rantai pasok. Studi ini juga mengidentifikasi tantangan utama dalam implementasi AI, termasuk biaya investasi tinggi, ketergantungan pada data berkualitas, serta isu etika terkait bias algoritma dan dampak terhadap tenaga kerja manusia. Meskipun menghadapi tantangan tersebut, penerapan AI menawarkan peluang besar untuk meningkatkan efisiensi operasional, mempercepat inovasi desain, dan memperkuat daya saing industri fashion di tingkat global. Dengan berkembangnya teknologi AI, industri fashion diharapkan dapat lebih adaptif, inovatif, dan berkelanjutan dalam menghadapi dinamika pasar global. Hasil penelitian ini dapat memberikan wawasan bagi akademisi dan praktisi industri fashion dalam memahami potensi serta implikasi jangka panjang dari adopsi AI, sekaligus mendorong penelitian lebih lanjut mengenai integrasi teknologi ini dalam berbagai aspek industri fashion.
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References
A. Bin Rashid and M. A. K. Kausik, ‘AI revolutionizing industries worldwide: A comprehensive overview of its diverse applications’, Hybrid Adv., vol. 7, no. August, p. 100277, 2024, doi: 10.1016/j.hybadv.2024.100277.
A. Goti, L. Querejeta-Lomas, A. Almeida, J. G. de la Puerta, and D. López-de-Ipiña, ‘Artificial Intelligence in Business-to-Customer Fashion Retail: A Literature Review’, Mathematics, vol. 11, no. 13, 2023, doi: 10.3390/math11132943.
L. Ramos, F. Rivas-Echeverría, A. G. Pérez, and E. Casas, ‘Artificial intelligence and sustainability in the fashion industry: a review from 2010 to 2022’, SN Appl. Sci., vol. 5, no. 12, 2023, doi: 10.1007/s42452-023-05587-2.
S. O. Mohammadi and A. Kalhor, ‘Smart Fashion: A Review of AI Applications in the Fashion & Apparel Industry’, 2021, [Online]. Available: http://arxiv.org/abs/2111.00905.
X. Zou and W. Wong, ‘fAshIon after fashion: A Report of AI in Fashion’, pp. 1–32, 2021, [Online]. Available: http://arxiv.org/abs/2105.03050.
H. Hassani, E. S. Silva, S. Unger, M. TajMazinani, and S. Mac Feely, ‘Artificial Intelligence (AI) or Intelligence Augmentation (IA): What Is the Future?’, AI, vol. 1, no. 2, pp. 143–155, 2020, doi: 10.3390/ai1020008.
M. M. Purwaningwulan, A. Suryana, U. Wahyudin, and S. Dida, ‘Creative innovation online relationship marketing Islamic fashion e-commerce in Indonesia’, Libr. Philos. Pract., vol. 2019, 2019.
Japjee Kaur Kohli, ‘Impact of Artificial Intelligence on Fashion Education for Future Jobs’, High. Educ. Futur., vol. 12, no. 1, pp. 114–128, Oct. 2024, doi: 10.1177/23476311241284860.
H. O. Khogali and S. Mekid, ‘The blended future of automation and AI: Examining some long-term societal and ethical impact features’, Technol. Soc., vol. 73, no. March, p. 102232, 2023, doi: 10.1016/j.techsoc.2023.102232.
Y. D. Nurcahyanie, M. L. Singgih, and D. S. Dewi, ‘Implementing Online Product Reviews and Muslim Fashion Innovation for Resilience during the New Normal in Indonesia’, Sustain., vol. 14, no. 4, pp. 1–20, 2022, doi: 10.3390/su14042073.
Y. K. Dwivedi, A. Sharma, N. P. Rana, M. Giannakis, P. Goel, and V. Dutot, ‘Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions’, Technol. Forecast. Soc. Change, vol. 192, no. April, p. 122579, 2023, doi: 10.1016/j.techfore.2023.122579.
K. Wakunuma, T. Jiya, and S. Aliyu, ‘Socio-ethical implications of using AI in accelerating SDG3 in Least Developed Countries’, J. Responsible Technol., vol. 4, p. 100006, 2020, doi: https://doi.org/10.1016/j.jrt.2020.100006.
V. B. Aakash, A. Akmal, A. Chandrababu, and A. Vijay, ‘A Comprehensive Survey on AI-Driven Fashion Technologies: Clothing Detection , Recommendation Systems , and Virtual Try-On Solutions’, no. December, 2024, doi: 10.35629/5252-0611247252.
A. Imtiaz, N. Pathirana, S. Saheel, K. Karunanayaka, and C. Trenado, ‘Journal of Future Artificial Intelligence A Review on the Influence of Deep Learning and Generative AI in the Fashion Industry’, 2024.
H. Yan et al., ‘Toward Intelligent Design: An AI-Based Fashion Designer Using Generative Adversarial Networks Aided by Sketch and Rendering Generators’, IEEE Trans. Multimed., vol. PP, p. 1, Jan. 2022, doi: 10.1109/TMM.2022.3146010.
R. Kumar Butteddi, ‘Revolutionizing Fashion: a Generative Ai Approach To Personalized Apparel Design and Custom Fitting’, Artic. Int. J. Comput. Eng. Technol., no. August, 2024, doi: 10.5281/zenodo.13595280.
H. de la Motte and A. Ostlund, ‘Sustainable Fashion and Textile Recycling’, Sustain., vol. 14, no. 22, pp. 10–12, 2022, doi: 10.3390/su142214903.
G. Caldarelli, A. Zardini, and C. Rossignoli, ‘Blockchain adoption in the fashion sustainable supply chain: Pragmatically addressing barriers’, J. Organ. Chang. Manag., vol. 34, no. 2, pp. 507–524, 2021, doi: 10.1108/JOCM-09-2020-0299.
C. Chang, C. Wei, Y. Wang, C. T. Yang, and S. Hsiao, ‘Recommender System for Apparel Products Based on Image Recognition Using Convolutional Neural Networks †’, 2025.
S. Manchiraju, ‘The ethical thread: AI’s role in the tapestry of fashion’, AI Soc., no. January, 2025, doi: 10.1007/s00146-024-02151-3.
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