The most comprehensive Internet solution for optimisation of fleet operations efficiency. It is based on the assessment of navigation routing, logistics planning quality, fuel consumption analyses and the analyses of the hull and main ship equipment condition.

Accurate analytics and calculations

Analytics and calculations are based on historical and actual data received from positional monitoring, weather and currents, hull and main engine physical simulation, as well as on daily reports and sensor readings data from the board of the ship

The solution is using methods of physical simulation and self-learning systems based on Big data

System development

We are capable of creating a system that will become a connector between the Fleet Management System, ports and terminals

Such system will improve the quality of fleet maintenance planning by 10-20% and will lead to the extension of the main systems service life period

Capability

Fleet parameters

  • Carbon Intensity Index for the current year and the past two years, number of vessels by efficiency rating: absolute value and dynamics
  • Forecast on the changes in vessels CII ratings in accordance with the IMO requirements
  • Total losses and dynamics due to demurrage waiting for being processed by terminal
  • Total losses and dynamics due to the quality of the weather routing
  • Total losses and dynamics due to the hull fouling and the propeller defects
  • Affordable CII rate by minimising the identified losses

Fuel efficiency factors for fleet vessels with the possibility of the comparative analysis

Analytics of vessel demurrages to approach terminal across all the used Port Calls

Detailed analytics for each route completed

  • Date and time of each port exit and arrival, distance and duration of the route
  • Weather conditions in the context of accepted gradations by the freight contract 
  • Compliance with the regime of equal load on the engine, taking into account bringing the vessel to the conditions of "calm water" (leveling the effect of the influence of the currents, wind and waves)
  • Time and economic impact of the demurrage time at each port call

Fuel consumption to speed, hull fouling and engine wear curve

  • Current value of fuel consumption at service speed according to data from daily reports and on-board sensors
  • Trends and change in fuel consumption with 1 quarter discretionary value
  • Time of the vessel under different water temperature conditions and moving parameters (in motion / no motion)

Statistics on the fuel consumption of the vessel over the period in different modes and efficiency of rates

Comparison fleet vessels operation performance data

Comparison of your own fleet vessels operation performance data with a selected vessels from another company or average values according to the criteria of the sampling range (type of a vessel, displacement, year of construction).

Comparison proved on the bases of Open Historical Reports from IMO DCS

System development

We are facing global changes in the maritime industry, such as disruption of well-established logistics chains, blocking of ports in Europe and other unfriendly countries for the entry of ships under the Russian flag and for trans-shipment of cargo belonging to customers from the Russian Federation. In view of these current changes, we are capable of creating a system that will become a connector between the Fleet Management System, ports and terminals.

Fleet Management System as an advanced technological solution, based on AI technologies, such as predictive analytics and self-learning behavior models, will improve the quality of fleet maintenance planning by 10-20% and will lead to the extension of the main systems service life period.

Following functionality is envisaged as the next steps in the development of the system:

  • Just-In-Time arrival - digital exchange with the RTA data between the ship, ship operator and port terminal at the port of destination
  • Tracking and analysis of the fleet supply with provisions, equipment and spare parts (fuel, water, life support products)
  • Document flow and reporting
  • Analysis and prevention of hazards affecting human life and environmental protection
  • Fleet tracking and monitoring in near real time mode
  • Fuel optimisation: calculation and monitoring of fuel and environmental KPIs
  • Promptresponseto deviations