MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541113036 A) filed by Ambika S; Harish B; Bagath S; Eshwar K; and Arul Immanuel T, Coimbatore, Tamil Nadu, on Nov. 18, 2025, for 'optimal shiprouting system: a digital solution for efficient and sustainable maritime navigation.'

Inventor(s) include Ambika S; Harish B; Bagath S; Eshwar K; and Arul Immanuel T.

The application for the patent was published on Jan. 9, under issue no. 02/2026.

According to the abstract released by the Intellectual Property India: "Efficient marine route prediction is crucial for optimizing maritime navigatioUj reducing fuel consumption, and minimizing environmental impact. Traditional methods often struggle to account for dynamic factors such as weather, ocean currents, and vessel characteristics, resulting in suboptimal routing. This paper introduces a machine learning-based framework that leverages historical data and real-time inputs to enhance route accuracy and efficiency. By integrating features like meteorological data, vessel specifications, and sea traffic patterns, the proposed approach employs predictive models such as Random Forest, Gradient Boosting, and Neural Networks to deliver significant improvements in route prediction accuracy, travel time reduction, and safety enhancement. These models are trained on historical transit data to identify complex, non-linear patterns that simpler models or human-led analysis might miss. The system can thereby predict an Estimated Time of Arrival (ETA) with far greater precision by accurately modelling how factors like wave height will impact a specific vessel's performance. This predictive power allows for proactive rerouting to avoid severe weather or high-congestion zones. The methodology addresses challenges of unpredictability and computational complexity, offering a scalable, data-driven solution for global shipping operations. Its contributions include the integration of dynamic factors and advanced computational techniques, providing a robust framework for optimizing maritime logistics while promoting economic and environmental sustainability."

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