Paper Contents
Abstract
Supply chains are essential networks that facilitate the flow of goods, services, and information from suppliers to consumers. Effective supply chain management (SCM) has become increasingly important as businesses strive to minimise costs, enhance customer service, and remain competitive in dynamic markets. Traditionally, supply chain processes have relied on manual methods and human judgment, resulting in inefficiencies and limited scalability. However, with recent advancements in AI technologies, businesses are now able to optimise supply chain operations more effectively.AI, encompassing machine learning (ML), predictive analytics, natural language processing (NLP), and robotics, is revolutionising SCM by automating processes, enabling data-driven decision-making, and enhancing predictive accuracy. This paper explores the significant impact of AI on supply chain optimisation, specifically in areas such as demand forecasting, inventory management, logistics, and quality control. The study also addresses the challenges of integrating
Copyright
Copyright © 2024 ARYAN TEJWANI. This is an open access article distributed under the Creative Commons Attribution License.