The Implementation of AloT-Driven Business Intelligence and Supply Chain Optimisation Process in the Real-world Application with Data Optimization & Visualization: Real-Time Insights for Strategic Decision-Making and Sustainable Operations
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This paper explores the transformative role of Artificial Intelligence of Things (AloT) in enhancing business intelligence and optimizing supply chain operations. With the convergence of AI and IoT, businesses gain the ability to collect real-time data, generate actionable insights, and automate decision-making processes. The paper discusses applications of AloT in supply chain visibility, inventory management, predictive analytics, and sustainability. Drawing on recent industry case studies and scholarly sources, it outlines both the opportunities and implementation challenges of AloT systems.
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The global supply chain landscape is undergoing a rapid transformation driven by digital technologies. Among these, the integration of Artificial Intelligence (AI) and the Internet of Things (IoT), collectively known as AloT, is emerging as a disruptive force. AloT systems enable real-time data acquisition from interconnected sensors, paired with AI-powered analytics to derive strategic business insights. As organizations face unprecedented demands for agility, resilience, and sustainability, AloT presents a comprehensive solution to these multidimensional challenges