Enhancing supply chain visibility through generative AI and intelligent control tower systems

Sarioguz, Orcun (2025) Enhancing supply chain visibility through generative AI and intelligent control tower systems. International Journal of Science and Research Archive, 15 (3). pp. 1568-1581. ISSN 2582-8185

The paper reviews how Generative Artificial Intelligence (Generative AI) and intelligent control tower systems may help eliminate the burgeoning requirement of real-time openness in supply chains, on a progressively intricate and international logistics system. Legacy supply chain management systems tend to experience issues with a divided amount of data, limited visibility, and constrained forecasting abilities, limiting the effectiveness and actionability of the operations. The combination of Generative AI and intelligent control towers results in a framework that allows dynamic data to be generated, risks identified and forecasted, and scenarios planned autonomously. It is case-based research that provides an insight into the positive effect of these technologies regarding ramping up the speed of decision-making, improving prediction, and cross-functional synchronization within the procurement, inventory, and transportation chains. According to significant results, using AI-enabled control towers in organizations positively impacts latency reduction, demand sensing, and disruption management. Moreover, the paper indicates how Generative AI can serve adaptive learning due to its ability to create value by creating actionable insights through unstructured data sources, including supplier communication and market signals. Such developments render intelligent control towers no longer tools of monitoring but strategic tools of building resiliency, agility, and innovativeness in a digital supply ecosystem. The paper's conclusion points out the strategic implications to businesses, and some recommendations can be adopted for implementation and future research.