Smart Supply Chains: Leveraging AI and BI for Better Decision-Making in Logistics

Objective: This study explores the integration of artificial intelligence (AI) and business intelligence (BI) in modern supply chains, focusing on their role in optimising logistics operations, enhancing decision-making, and improving efficiency. Research Methodology: The research employs a qualitative analysis of recent case studies from leading companies, including Amazon, DHL, Maersk, and Walmart. Secondary data from industry reports, company publications, and academic sources are analysed to assess the impact of AI and BI on logistics. Originality: The study provides a comprehensive overview of current trends and practical applications of AI and BI in supply chain management, offering insights into the emerging technologies shaping logistics. Findings: AI and BI have significantly improved supply chain operations by enhancing demand forecasting, optimising inventory management, and enabling real-time data analysis. Companies like Amazon and DHL demonstrate the tangible benefits of these technologies, including cost savings, better customer service, and operational efficiency. Conclusion: AI and BI are critical to the future of supply chains, driving innovation and improving competitiveness. Organisations that successfully integrate these technologies will maintain a competitive edge and achieve operational excellence.