SUSTAINABLE FASHION ANALYTICS: PREDICTING THE FUTURE OF ECO-FRIENDLY TEXTILE

Abstract

This article examines the critical role of data analytics in promoting sustainable practices within the fashion industry, against the backdrop of increasing environmental concerns and consumer demand for eco-friendly products. Despite the potential of analytics to drive significant improvements in sustainability, the fashion industry faces several challenges, including data inconsistency, lack of standardization, limited availability of reliable data, the prevalence of greenwashing, and technological limitations. The analysis highlights the importance of overcoming these obstacles through technological innovations such as blockchain, artificial intelligence (AI), big data analytics, Internet of Things (IoT), and advanced life cycle assessment (LCA) tools. These technologies offer new opportunities for optimizing production processes, improving sustainable material sourcing, and enhancing consumer engagement. The article underscores the potential of leveraging data analytics and technology to achieve greater sustainability in the fashion industry, advocating for a collaborative effort among stakeholders to embrace these advancements and drive positive change.