Recognized for its significant environmental impact, the textile industry stands to benefit greatly from sustainable practices. This study investigates the development of an innovative algorithm aimed at promoting Industrial Symbiosis (IS) within the Circular Economy (CE), particularly focusing on the textile industry. The project is part of the BE@T initiative, led by CITEVE, which seeks to enhance waste-to-resource exchanges through smart technologies and Artificial Intelligence (AI). The Focus Group Discussion played a crucial role in defining the variables for the algorithm. By involving experts in research, technology, and waste management, were identified twenty-six key variables: 14 weighting variables and 12 filter variables. The initial focus group round established these variables, while the second round assigned weights, prioritizing sustainability, and IS. This research emphasises the critical role of intelligent algorithms in optimising waste management, transforming waste into reusable resources and facilitating the cost-effective raw materials acquisition, significantly reducing the amount of waste deposited in landfill. Ultimately, this study showcases the potential of technology-driven sustainability in reducing environmental impact and promoting efficient resource use within one of the world's most polluting industries.