• Thallapally.Rajaiah
• Dr. Mallaram Srinivas Reddy

This study explores the transformative potential of Artificial Intelligence (AI) in optimizing modern supply chains. With increasing global complexity, AI-driven technologies such as machine learning algorithms, predictive analytics, and autonomous decision-making systems have emerged as pivotal tools for enhancing operational efficiency, demand forecasting, inventory management, and logistics. This paper critically reviews current literature, outlines core objectives, and explores both challenges and opportunities associated with AI integration in supply chain management (SCM). Through case studies and data-driven analysis, the study demonstrates real-world applications and measurable impacts of AI across diverse sectors. The findings suggest a strategic roadmap for organizations to adopt AI while mitigating associated risks. Recommendations for future research and implementation frameworks are also proposed.

Artificial Intelligence, Supply Chain Optimization, Machine Learning, Predictive Analytics, Logistics, Automation, Forecasting

"LEVERAGING ARTIFICIAL INTELLIGENCE FOR SUPPLY CHAIN OPTIMIZATION CHALLENGES, OPPORTUNITIES, AND STRATEGIC IMPLEMENTATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 8, page no.19-24, August-2025, Available :http://www.jetir.org/papers/JETIRHC06003.pdf

"LEVERAGING ARTIFICIAL INTELLIGENCE FOR SUPPLY CHAIN OPTIMIZATION CHALLENGES, OPPORTUNITIES, AND STRATEGIC IMPLEMENTATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 8, page no. pp19-24, August-2025, Available at : http://www.jetir.org/papers/JETIRHC06003.pdf