AI-Driven Optimization of Supply Chain Processes: Enhancing Efficiency and Reducing Costs
Authors:-Chandana P
Abstract-In today’s fast-paced global economy, supply chain optimization is crucial for enhancing operational efficiency, reducing costs, and ensuring seamless service delivery. Artificial Intelligence (AI) has emerged as a transformative tool, providing innovative solutions to traditional supply chain challenges. This paper explores the role of AI in optimizing supply chain processes, focusing on key areas such as demand forecasting, inventory management, logistics, and supplier relationship management. By leveraging machine learning, predictive analytics, and real-time data processing, AI can enhance decision-making, minimize inefficiencies, and support proactive problem-solving. Through case studies and industry applications, the paper illustrates the practical benefits of AI in supply chains and examines potential challenges, such as data quality, implementation costs, and ethical concerns. The paper concludes by discussing future trends and opportunities for AI in supply chain management, emphasizing its potential to reshape the future of global commerce.
