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Research Article Volume 11 Issue 6
Potentials and barriers of Artificial Intelligence adoption in the fashion industry, Ile-Ife, Osun State
Diyaolu, Idowu Jamiu, Ajila, Kehinde Ola, Odubunmi Latifat Abolore, Adedeji Deborah Oluwayemisi
Received: November 13, 2025 | Published: November 25, 2025
Citation: Diyaolu IJ, Ajila KO, Odubunmi LA, et al. Potentials and barriers of Artificial Intelligence adoption in the fashion industry, Ile-Ife, Osun State. J Textile Eng Fashion Technol. 2025;11(6):305-309. DOI: 10.15406/jteft.2025.11.00437
Abstract
This study investigates the potentials and barriers to Artificial Intelligence (AI) adoption in the fashion industry of Ile-Ife, Osun State, Nigeria. The research was motivated by the growing importance of AI in enhancing fashion marketing, customer engagement, and operational efficiency. A survey of 120 randomly selected fashion designers was conducted to assess the extent of AI potential and challenges. Findings revealed a moderate level of AI adoption (46.7%), with tools such as predictive analytics, virtual try-ons, and AI-driven marketing identified as having the potential to transform business practices. Fashion designers acknowledged the ability of AI to enhance customer experiences, strengthen brand visibility, improve inventory management, and support sustainability. Despite these opportunities, financial constraints (30.8%) and limited awareness (35.8%) emerged as the primary challenges. The study recommends targeted training programs in partnership with educational and technological institutions to strengthen designers.
Keywords: artificial intelligence adoption, fashion industry, customer engagement, adoption barriers, sustainability in fashion
©2025 Diyaolu, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.