Sustainability in Supply Chains: AI and ML for Carbon Footprint Reduction

Abstract

The increasing global focus on sustainability has necessitated the adoption of advanced technologies to reduce carbon footprints in supply chains. Artificial Intelligence (AI) and Machine Learning (ML) offer transformative potential in optimizing logistics, enhancing energy efficiency, and minimizing waste. This research explores the role of AI and ML in decarbonizing supply chains, presenting case studies, methodologies, and future directions. By leveraging predictive analytics, intelligent routing, and real-time monitoring, businesses can achieve significant reductions in greenhouse gas (GHG) emissions while maintaining operational efficiency.