Birla Technical Training Institute, Pilani Rajasthan, India.
World Journal of Advanced Engineering Technology and Sciences, 2025, 15(02), 3149–3160
Article DOI: 10.30574/wjaets.2025.15.2.0714
Received on 04 April 2025; revised on 05 May 2025; accepted on 07 May 2025
Over 80% of international commerce runs through maritime shipping. With its growing logistics demands, the industry is now integrating cross-border data, adapting in real time, and enhancing flexibility to meet the new needs. The archaic on-premise systems, which relied on low-maintenance fragmented databases and suffered from scalability issues, are now obsolete. With their low maintenance costs, these systems are no longer a good fit for modern port-to-port operations. This research evaluates the transition of port and ocean shipment management systems to cloud computing, looking at the systems’ frameworks and operating models, and, through both qualitative and quantitative studies on prominent shipping lines and major ports, assessing the operating efficiencies of these systems. The study emphasizes improvements in container dwell time, berth turnaround efficiency, and shipment tracking accuracy, which became possible because of IoT-based vessel tracking, API-based customs integrations, and AI-based routing optimization in hybrid cloud and multi-cloud ecosystems. The adoption of cloud services improves scalability, availability, predictive analytics, compliance, and collaboration with stakeholders. However, obstacles such as cybersecurity threats, latency in satellite communication, and opposition from within the organization need to be addressed with appropriate mitigation techniques. To further enhance the effectiveness of maritime logistics, the study provides a customized migration roadmap.
Cloud Migration; Maritime Logistics; Port-To-Port Delivery; Supply Chain; Digital Transformation; Ocean Shipment; Saas; IOT; Data Analytics
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FNU Pawan Kumar. Cloud migration for ocean shipment and port-to-port delivery. World Journal of Advanced Engineering Technology and Sciences, 2025, 15(02), 3149–3160. Article DOI: https://doi.org/10.30574/wjaets.2025.15.2.0714.