Abstract
This research explores the impact of post -COVID 19 global economic situation on fashion industry, especially fast fashion. Analysis of the current challenges and opportunities facing the industry are included. Existed researches have already elucidated that fast fashion industry faces dilemma of gloomy outlook of future market due to global inflation, climate crisis and other factors. By analyzing the global market data and combining the application of generative AI in fashion design, marketing and supply chain optimization, this paper discusses the development strategy of the fast fashion industry. The study found that AI technology shows great potential in product design, supply chain management and user engagement. Meanwhile, environmental regulations and data privacy concerns induce serious challenges to the industry. The findings of this paper provide a new perspective on how the fashion industry can balance technological innovation and sustainability in the future, and provide effective advice for companies to cope with market changes.
Cite
CITATION STYLE
Zhao, J. (2024). Innovative Applications and Challenges of AI in the Fast Fashion Industry. Advances in Economics, Management and Political Sciences, 128(1), 158–165. https://doi.org/10.54254/2754-1169/2024.18684
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