AI-Driven Models Enhance Eco-Efficient Supply Chains in the USA
This study explores the application of AI-driven models for sustainable logistics optimization in the USA, focusing on demand forecasting, route optimization, and fuel efficiency. The research demonstrates that AI can significantly reduce carbon emissions, improve operational efficiency, and lower costs, providing a more sustainable and efficient logistics framework.