Integrating Artificial Intelligence Across the Fashion Value AI Transforming Design, Production, and Consumer Experience
Background: Artificial intelligence (AI) is already changing the innovation fashion industry processes in design, production, marketing, customer relations, and customer service. The application of AI tools, particularly generative AI like ChatGPT, has led to improved processes and innovative outcomes in the fashion industry. Methods: This qualitative investigation, descriptive content analysis and document analysis were conducted. Insights from generative AI tools in fashion design were gathered through model evaluation simulations using ChatGPT. This study aims to assess the value of AI in relationship to fashion design, especially with the use of ChatGPT, focusing on tools used for evaluating trends, trend projection, demand estimation, automated production, marketing, consumer interaction, and sustainability. Results: AI finds use in forecasting the demand for products, predicting future trends, selecting fabrics and designs, smart production systems, and personalizing services to the customers. AI systems like chatbots and virtual stylists improve customer interactions while smart manufacturing helps to manage inventory, enhances sustainability and contributes to sustainable business practices. This investigation is dedicated to the scope of the integration of AI into the fashion industry in its contemporary conditions. Conclusion: The application of AI undeniably alters the paradigm in which the fashion industry operates. Innovative solutions are available from tools like ChatGPT for those designers and brands who are looking for acceleration and increased sustainable design practices. Businesses that want to remain competitive need to consider the integration of AI throughout their business proactively.
Publication Details
- Journal
- Applied IT & Engineering
- Published
- 2025-01-01
- DOI
- https://doi.org/10.25163/engineering.3110210
- Citations
- 1
- Primary Topic
- Digital Media and Visual Art
- Type
- article
- Field-Weighted Citation Impact
- 3.54