ChartWorld’s Route Network Database inside Nautilus’s Voyage Optimisation solution


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Nautilus Labs has enhanced its collaborative flagship solution Voyage Optimisation to now include machine learning-based route recommendations to drive decarbonisation while maximising commercial returns.

Nautilus’s Route Optimisation considers a client’s commercial goals in addition to meteorological forecasts and capitalises on opportunities created by weather to generate the best route for the desired business outcome. The AI-powered operating recommendations are sent daily and updated as dynamic conditions change during a voyage.

Nautilus’s Voyage Optimisation reduces fuel consumption, maximises profits, and can ultimately improve an owner’s CII rating. Nautilus Labs utilises proprietary machine learning models tailor-made for each individual ship, fine-tuned to its individual hull geometry, propeller configuration, and historical performance trends. These models are coupled with weather data, voyage information, variable market factors, ChartWorld’s Route Network Database, and the optimal speed to produce a dynamically optimised route recommendation over the course of a voyage.

“It is crucial to take commercial factors into consideration, and then constantly optimise a route in real-time from port to port,” said Matt Heider, CEO at Nautilus Labs. “By leveraging our sophisticated machine learning models with best-in-class accuracy, our platform can output optimal route and speed recommendations based on our clients’ preferences and forecast environmental factors. We’re proud to partner with our clients on their path towards decarbonisation and increased fuel efficiency while maximising economic returns.”

Historically, Nautilus’s Voyage Optimisation clients received optimal speed instructions during a voyage for a pre-defined route, to increase sustainability and profitability. The recent addition of Route Optimisation enables clients to receive AI-generated recommended routes directly through Nautilus Platform as well. By solving both Speed and Route interdependently within the commercial context of a voyage, operators can be confident they are achieving fully optimised voyages.