Paper Contents
Abstract
AbstractThe integration of Artificial Intelligence (AI) in supply chain management (SCM) has emerged as a transformative strategy for enhancing efficiency, responsiveness, and resilience. This paper presents a comprehensive review of current AI applications across key supply chain functions including demand forecasting, inventory optimization, logistics, and supplier relationship management. It examines cutting-edge AI technologies such as machine learning, natural language processing, and computer vision, which are reshaping operational paradigms. The paper further explores real-time industry case studies to highlight tangible improvements in cost reduction, accuracy, and agility. Finally, a future outlook is presented, identifying research gaps, implementation challenges, and emerging trends such as autonomous supply chains, digital twins, and ethical AI considerations. This review aims to guide researchers, practitioners, and decision-makers toward informed AI adoption for sustainable and efficient supply chain ecosystems.Keywords: Artificial Intelligence, Supply Chain Management, Machine Learning, Forecasting, Optimization, Digital Twin, Logistics, Industry 4.0
Copyright
Copyright © 2025 SURESHBABU TALLAPUDI . This is an open access article distributed under the Creative Commons Attribution License.
