AI-Driven Sustainability Intelligence: Enhancing Carbon Footprint Visibility across it Supply Chains

Abstract The growing emphasis on sustainability has led other institutions to focus heavily on their carbon footprints across complex IT supply chains. This study delves into the question of how AI technologies are being employed in sustainability intelligence systems to ensure carbon footprint visibility along IT supply chains. What this work attempts to shed some light on is how AI solutions set to redefine or transform traditional methods of carbon accounting into newer methods of real-time monitoring, through a mix of qualitative insights and quantitative studies. The study analyzes data gathered from 250 IT companies working with AI-powered sustainability intelligence platforms to analyze their performance in reduction of carbon footprints, supply chain transparency, and operational efficiency. The statistical analysis run in SPSS showed a significant positive correlation between implementations of AI and improvements in carbon footprint visibility (r =0.742, p 0.001). The results indicate that organizations that have adopted AI-based sustainability intelligence systems noted a 34.7% improvement in the visibility of carbon footprints and a 28.3% improvement in overall emissions compared with the baseline levels of visibility and emission reductions that traditional approaches could offer. Consequently, this investigation will augment the current body of knowledge in digital solutions for sustainability while also preparing firms for some practical insights to pursue improve.