Fuente: WIPO "sustainability" The present invention relates in response to environmental and social issues, sustainability has emerged as a crucial area of focus for both businesses and consumers. This study investigates how machine learning techniques can be integrated into supply chain sustainability reports and consumer attitudes toward sustainable products. Survey data, sentiment analysis, and clustering algorithms are used to identify and classify consumer preferences for environmentally friendly products. At the same time, sustainability reports' content is analyzed using natural language processing (NLP) techniques to find trends, patterns, and areas for improvement. In order to help businesses align their supply chain practices with consumer expectations; the study identifies correlations between corporate sustainability initiatives and consumer demand. The results show how machine learning can help close the gap between corporate sustainability and consumer behavior by encouraging accountability, openness, and creativity in sustainable business practices. This two-pronged strategy promotes a more sustainable global economy.