Authors :
R. Dharani
Volume/Issue :
Volume 10 - 2025, Issue 1 - January
Google Scholar :
https://tinyurl.com/3pyes6rs
Scribd :
https://tinyurl.com/yc74ht2e
DOI :
https://doi.org/10.5281/zenodo.14769366
Abstract :
The fashion industry faces growing scrutiny for its negative environmental and social impacts, including excessive
waste, resource consumption, and unethical labor practices. As sustainability becomes a top priority for both consumers and
brands, forecasting sustainable fashion trends has become increasingly important. Artificial Intelligence (AI) offers an
innovative solution by leveraging large datasets, machine learning, and natural language processing to predict future trends,
especially those related to eco-friendly materials, circular fashion models, and ethical production practices. This paper
explores the potential of AI in forecasting sustainable fashion trends, highlighting its ability to process vast amounts of
consumer data, social media sentiment, and emerging design innovations. We discuss AI's contribution to the adoption of
sustainable materials, circular economies, and the design of responsible fashion, emphasizing its potential for enhancing
accuracy, reducing waste, and promoting sustainability in the fashion industry. The paper concludes by examining challenges
such as data bias, the lack of standardization in sustainability metrics, and the need for industry-wide adoption.
Keywords :
Artificial Intelligence, Sustainability, Fashion Forecasting, Machine Learning, Circular Fashion, Eco-friendly Materials, Consumer Behavior, Social Media Analysis, Ethical Production.
References :
- UN Environment Programme. (2019). The Environmental Price of Fast Fashion. UNEP.
- Abidin, C., & Kang, M. (2020). Artificial Intelligence in Fashion: Applications and Implications. Fashion Technology Journal.
- H&M Group. (2023). Sustainability Report: AI for Sustainable Fashion. H&M Group Annual Sustainability Report
The fashion industry faces growing scrutiny for its negative environmental and social impacts, including excessive
waste, resource consumption, and unethical labor practices. As sustainability becomes a top priority for both consumers and
brands, forecasting sustainable fashion trends has become increasingly important. Artificial Intelligence (AI) offers an
innovative solution by leveraging large datasets, machine learning, and natural language processing to predict future trends,
especially those related to eco-friendly materials, circular fashion models, and ethical production practices. This paper
explores the potential of AI in forecasting sustainable fashion trends, highlighting its ability to process vast amounts of
consumer data, social media sentiment, and emerging design innovations. We discuss AI's contribution to the adoption of
sustainable materials, circular economies, and the design of responsible fashion, emphasizing its potential for enhancing
accuracy, reducing waste, and promoting sustainability in the fashion industry. The paper concludes by examining challenges
such as data bias, the lack of standardization in sustainability metrics, and the need for industry-wide adoption.
Keywords :
Artificial Intelligence, Sustainability, Fashion Forecasting, Machine Learning, Circular Fashion, Eco-friendly Materials, Consumer Behavior, Social Media Analysis, Ethical Production.
