Exploring the Impact of Business Intelligence on Real-Time Supply Chain Decision-Making

Authors

DOI:

https://doi.org/10.71202/paper17

Keywords:

Predictive analytics; Supply Chain; Business Intelligence

Abstract

Modern supply chains are a dynamic system that requires fast and well-informed decision-making. Business Intelligence systems have become the necessary supporting tools in enabling the desired real-time decision-making processes using data analytics. This article will learn about the positive effect of BI tools on real-time supply chain decision-making, especially on the opportunity to manage supply situations, realize reduced inventory costs, and have environmental savings. Turning research findings by these technologies the conclusion is that they bring decision-making efficiencies to the companies and additionally to that, they also promote the cooperation with all stakeholders in the supply chain, hence, create the agility and the responsiveness that is required in the unstable markets of today.

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Author Biography

  • Mohammad Al Khaldy, University of Petra

    Dr. Mohammad Al-Khaldy is an Assistant professor of Business Intelligence and Data Analytics at University of Petra, Jordan. He completed his PhD in Atrificial Intelligence and Data Science for the University of Hull -United Kingdom - 20017. Alkhaldy's research interests include data analytics, machine learning, predictive analytics, NLP, and decision support systems. His research has been published extensively in academic journals and conferences. Alkhaldy taught a variety of courses in Artificial intelligence and business intelligence, including Data Mining, Business Analytics, Computer Programming, Intelligent business systems, Data Visualization, and machine learning. Alkhaldy is a member of Jordan Computers Society, and Arab Robotics & AI Association. He also serves on the Editorial Board of International Journal of Engineering and Artificial Intelligence (IJEA) and is an occasional reviewer for several other academic conferences and journals such as the International Conference on Information Technology (ICIT).

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Published

2025-01-14