The marine fuel optimization system allows the shipowners to track, measure, and display the exact amount of fuel oil used. Fuel consumption optimization systems not only provide the amount of fuel used during the trip, but also provide additional data related to fuel usage. Vessel fuel optimization systems provide statistical information on various parameters, such as the amount of fuel used by a particular engine or generator while moving at sea or in port.
To analyze fuel consumption, it is possible to gather and use data not only about the engine but also many other external parameters affecting fuel consumption.

In fact, earlier it was possible only to analyze data on consumption after arrival to the port, for example, this captain exceeds the recommended speed on the route, which affects the additional expense and financial costs. It is really good and useful if captain or crew or even shipowner could see this data in real-time and adjust the actions on board related to fuel consumption. To plan the optimal route, not only in terms of ETA but also fuel costs/consumption it is necessary to analyze various factors and data.

What opportunities for ship companies opens up using a fuel optimization system?

The owner and the management of the shipping company thus receives tools for significant optimization of activities: saving even 5% of fuel will save up to $ 100,000 per year from 1 vessel, at a cost of 30 tons per day at a price of $ 250 per ton and 280 days at sea. It can only be provided with preventive measures, building effective models, collecting a large amount of data, and machine learning in order to submit analytical and forecast data for approval to the management of the shipping company and the master.

How is the reduction in fuel consumption on ships implemented?

The optimization system consists of 3 parts:


Hardware part installed on the vessel.
This part of the system is responsible for gathering information about vessel and vessel performance, for example, Location, speed, RPM
It is a computer that accumulates data from a ship through and transmits an array of data to a neural network for further processing as well as received all planned routes and transmits it to ECDIS.

Machine learning module

A set of algorithms and mathematical models that are responsible for processing all data from the vessel and external data. Based on the results of processing the received data, the module offers several alternative routes for the movement of the vessel in order to save fuel


Cloud-based part that is responsible for processing data that passes through machine learning algorithms connected with each other and provides real-time information about the current and planned indicators of the vessel and its route.
Moreover, It is a set of web-interfaces for the captain and fleet management, which, thanks to statistical and analytical reports, as well as recommendations, allow users to plan and make decisions about planned routes.

What is required to install a fuel optimization system?

On the bridge captain will see several routes from port of departure to the port of arrival according to all parameters. Fleet Management system will display all the vessels, weather conditions, engine performance data and their routes.

Hardware part installed on the vessel and access to web-app from the bridge or from the shipping company office. There is an installation plan that describes connections, security integration and information protection. No specific knowledge is required for installation; any vessel engineer will handle it. To simplify the installation process, we have prepared the necessary instructions, as well as a video training course, for both the engineer and users of the system.

The benefits of using machine learning to save fuel on a vessel and the economic effect of an integrated solution for route optimization.

In the meantime, AI promises tremendous wins in operational efficiency. AI software is able to predict the most economical route in terms of fuel consumption. Constant collection of voyage-impacting data and AI predictive analysis will ensure that vessels are always sailing the best route at the best speed, avoiding port delays and bad weather, identifying the best return route and schedule so that ships don’t sail empty.

Average 12% fuel consumption economy will lead to 240,000 $ year efficiency for ship owner per 1 vessel. The shipping company eliminates the need for daily routine reporting. The captain is focused on a safe voyage. And the operational management and the managers are engaged in optimizing costs and increasing the efficiency of the company. Moreover, the system will allow you to save more funds on maps thanks to the PAYS (pay as you sail) service, which allows you to pay only for maps through which the route passes.

Marine Digital for Marine Startups