Sustainable Textile Exports: Real-time Decision Making through Information Extraction for Green Strategy Optimization

Abstract

In today's world where people are more aware of the environment and businesses are focused on sustainability the textile industry needs to align its operations with strategies. Textile exports are crucial, for trade. It is essential to examine how real-time decision-making processes and information extraction technologies can optimize these strategies and promote sustainability. This research paper addresses the need to thoroughly study textile exports with a special emphasis on real time decision making and information extraction methods. It explores the intersection of sustainability and international trade providing insights for both scholars and industry professionals. The study aims to investigate how data analytics, information extraction techniques and tools for real time decision making can be used to enhance strategies in the textile export sector. Through research and analysis, we aim to uncover the potential of these technologies in helping decision makers balance goals with environmental responsibilities. We will explore aspects of the textile supply chain, including production methods, transportation and market demand while considering the relationships that shape the industry's journey, towards sustainability. This study holds importance as it not adds to the academic knowledge, about sustainable practices in the textile export industry but also provides practical insights for companies looking to navigate the complex world of environmentally friendly strategies. The results will provide stakeholders with the resources to make decisions in real time enabling them to enhance their environmental performance while remaining competitive, in the global market.