Agentic Artificial Intelligence for Port Logistics Optimization: A Secondary Research Study on Operational Efficiency and Governance in Adani Ports
Keywords:
Agentic Artificial Intelligence; Port Logistics Optimisation; Supply Chain Management; Autonomous Decision Systems; Smart Ports; Logistics Efficiency; AI Governance.Abstract
Abstract
The rapid expansion of global trade has significantly increased the complexity of port logistics operations, particularly in large-scale ports such as those operated by Adani Ports and Special Economic Zone (APSEZ). This study adopts a secondary research approach to examine how agentic artificial intelligence (AI) can enhance logistics optimisation in port environments. Existing literature, industry reports, and academic studies are analysed to identify key operational inefficiencies, including congestion, inefficient berth allocation, unpredictable vessel scheduling, and lack of coordination among logistics stakeholders.
Traditional port management systems largely depend on centralised decision-making and predictive analytics, which often fail to respond dynamically to real-time operational changes. Agentic AI, characterised by autonomous and collaborative decision-making agents, offers a transformative solution by enabling real-time coordination across multiple logistics functions such as cargo handling, vessel scheduling, and container management.
This research synthesises existing studies on AI in supply chain management, multi-agent systems, and smart port technologies to propose a conceptual framework for AI-driven logistics optimisation. Additionally, the study highlights the importance of governance mechanisms, including transparency, accountability, and human oversight, to ensure safe and ethical implementation of autonomous systems in critical infrastructure.
The findings suggest that the integration of Agentic AI can significantly improve operational efficiency, reduce vessel turnaround time, and enhance overall port productivity. This research contributes to the growing body of knowledge on intelligent logistics systems and provides strategic insights for policymakers and port authorities aiming to adopt advanced AI-driven solutions.
