SUSTAINABLE FASHION THROUGH AI: PREDICTIVE WASTE REDUCTION AND ECO-FRIENDLY MATERIAL OPTIMIZATION
DOI:
https://doi.org/10.29121/shodhkosh.v6.i4s.2025.6942Keywords:
Artificial Intelligence (AI), Sustainable Fashion, Waste Reduction, Eco-Friendly Materials, Circular EconomyAbstract [English]
Because of things like using a lot of resources, making a lot of trash, and using materials in ways that aren't sustainable, the fashion business is one of the biggest causes of environmental damage around the world. This research looks into how Artificial Intelligence (AI) can be used in sustainable fashion, focussing on predicting ways to cut down on waste and making the best use of eco-friendly materials. AI-powered systems can predict changes in demand, improve product management, and offer eco-friendly materials that can be used instead of standard ones by combining machine learning models, data analytics, and material science. The main purpose of this study is to look into how AI can help cut down on the trash that is made when clothes are made and when they are thrown away at the end of their useful life, while also encouraging the use of eco-friendly materials. AI, using advanced algorithms like predictive modelling, optimisation techniques, and lifetime analysis, can help find low-waste manufacturing methods and materials that can be recovered, biodegraded, or grown again. Fashion brands can also use circular economy models by making it easier for clothes to be recycled and used again by combining AI with digital platforms. The study results show fashion brands and producers how to use AI-based tools that are better for the environment, cheaper to make, and encourage new ideas in environmentally friendly fashion. The study also talks about the problems that might come up when the fashion industry tries to use AI. These include worries about data privacy, problems with growth, and the need for everyone in the industry to work together to make AI widely sustainable.
References
Abdelmeguid, A., Afy-Shararah, M., and Salonitis, K. (2022). Investigating the Challenges of Applying the Principles of the Circular Economy in the Fashion Industry: A Systematic Review. Sustainable Production and Consumption, 32, 505–518. https://doi.org/10.1016/j.spc.2022.05.009 DOI: https://doi.org/10.1016/j.spc.2022.05.009
Akram, W., Mia, R., Ullah, S., Assiri, M. A., and Fang, J. (2024). Simultaneous Synthesis and Application of TiO₂ Nanoparticles Using Mulberry Leaves for Functionalization of Organic Cotton Fabric. Journal of Cleaner Production, 440, 140939. https://doi.org/10.1016/j.jclepro.2024.140939 DOI: https://doi.org/10.1016/j.jclepro.2024.140939
Alivojvodic, V., and Kokalj, F. (2024). Drivers and Barriers for the Adoption of Circular Economy Principles Towards Efficient Resource Utilisation. Sustainability, 16, 1317. https://doi.org/10.3390/su16031317 DOI: https://doi.org/10.3390/su16031317
Alves, L., Ferreira Cruz, E., Lopes, S. I., Faria, P. M., and Rosado da Cruz, A. M. (2022). Towards Circular Economy in the Textiles and Clothing Value Chain Through Blockchain Technology and IoT: A Review. Waste Management and Research, 40, 3–23. https://doi.org/10.1177/0734242X211052858 DOI: https://doi.org/10.1177/0734242X211052858
Casciani, D., and D’Itria, E. (2024). Fostering Directions for Digital Technology Adoption in Sustainable and Circular Fashion: Toward the Circular Fashion-Tech Lab. Systems, 12, 190. https://doi.org/10.3390/systems12060190 DOI: https://doi.org/10.3390/systems12060190
Chen, Y. (2024). How Blockchain Adoption Affects Supply Chain Sustainability in the Fashion Industry: A Systematic Review and Case Studies. International Transactions in Operational Research, 31, 3592–3620. https://doi.org/10.1111/itor.13273 DOI: https://doi.org/10.1111/itor.13273
De Keyser, E., and Mathijs, E. (2023). A Typology of Sustainable Circular Business Models with Applications in the Bioeconomy. Frontiers in Sustainable Food Systems, 6, 1028877. https://doi.org/10.3389/fsufs.2022.1028877 DOI: https://doi.org/10.3389/fsufs.2022.1028877
Geissdoerfer, M., Savaget, P., Bocken, N., and Hultink, E. J. (2022). Prototyping, Experimentation, and Piloting in the Business Model Context. Industrial Marketing Management, 102, 564–575. https://doi.org/10.1016/j.indmarman.2021.12.008 DOI: https://doi.org/10.1016/j.indmarman.2021.12.008
Han, Y., Shevchenko, T., Yannou, B., Ranjbari, M., Shams Esfandabadi, Z., Saidani, M., and Li, G. (2023). Exploring How Digital Technologies Enable a Circular Economy of Products. Sustainability, 15, 2067. https://doi.org/10.3390/su15032067 DOI: https://doi.org/10.3390/su15032067
Hina, M., Chauhan, C., Kaur, P., Kraus, S., and Dhir, A. (2022). Drivers and Barriers of Circular Economy Business Models: Where we are Now, and Where we are Heading. Journal of Cleaner Production, 333, 130049. https://doi.org/10.1016/j.jclepro.2021.130049 DOI: https://doi.org/10.1016/j.jclepro.2021.130049
Leal Filho, W., Perry, P., Heim, H., Dinis, M. A. P., Moda, H., Ebhuoma, E., and Paço, A. (2022). An Overview of the Contribution of the Textiles Sector to Climate Change. Frontiers in Environmental Science, 10, 973102. https://doi.org/10.3389/fenvs.2022.973102 DOI: https://doi.org/10.3389/fenvs.2022.973102
Monyaki, N. C., and Cilliers, R. (2023). Defining Drivers and Barriers of Sustainable Fashion Manufacturing: Perceptions in the Global South. Sustainability, 15, 10715. https://doi.org/10.3390/su151310715 DOI: https://doi.org/10.3390/su151310715
Silva, E. R., Lohmer, J., Rohla, M., and Angelis, J. (2023). Unleashing the Circular Economy in the Electric Vehicle Battery Supply Chain: A Case Study on Data Sharing and Blockchain Potential. Resources, Conservation and Recycling, 193, 106969. https://doi.org/10.1016/j.resconrec.2023.106969 DOI: https://doi.org/10.1016/j.resconrec.2023.106969
Wójcik-Karpacz, A., Karpacz, J., Brzeziński, P., Pietruszka-Ortyl, A., and Ziębicki, B. (2023). Barriers and Drivers for Changes in Circular Business Models in a Textile Recycling Sector: Results of Qualitative Empirical Research. Energies, 16, 490. https://doi.org/10.3390/en16010490 DOI: https://doi.org/10.3390/en16010490
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Copyright (c) 2025 Jitesh Mansukh Sapariya, Naveen Kumar, Dr. Amena Ansari, Dipti Chaturvedi, Dr. Akbar Ahmad, Dinesh Kumar Nayak
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