AI for Sustainable Supply Chain Management: Reducing Waste and Enhancing Efficiency

Abstract

Sustainable supply chain management is essential for reducing environmental impact while maintaining economic viability. This paper explores AI-driven solutions in optimizing logistics, minimizing carbon footprints, and improving transparency across supply chains. It examines machine learning models for demand forecasting, route optimization, and real-time tracking to enhance efficiency and reduce waste. Case studies highlight AI implementations in circular supply chains, ethical sourcing, and carbon-neutral logistics. The paper also addresses challenges such as data privacy, regulatory compliance, and technology adoption, concluding with strategies for leveraging AI to create sustainable and resilient supply chain ecosystems.