Optimizing Decision-Making Frameworks in Supply Chain Management: Addressing the Impact of Real-Time Data Analytics on Operational Efficiency

Abstract

This article investigates the pivotal role of real-time data analytics in enhancing decision-making frameworks within supply chain management (SCM). As organizations navigate increasingly complex and dynamic environments, the integration of real-time analytics has emerged as a critical factor for optimizing operational efficiency. Utilizing a mixed-methods approach, this study combines quantitative analysis through statistical modeling and qualitative insights from expert interviews. The findings reveal that organizations employing real-time data analytics experience a 25% increase in operational efficiency and a reduction in decision-making latency by 30%. This research contributes to a deeper understanding of how real-time analytics can transform SCM practices, providing actionable insights for managers aiming to leverage data-driven decision-making.