Voyage Optimization Commercial Decision Support
AI Voyage Optimization ROI & Fuel Savings Break-Even Tool
Answer the question that matters before buying routing software: how much fuel must the vessel or fleet actually save before the software pays for itself? Model 1%, 2%, 3% and 5% savings, software and integration costs, route coverage, realized savings, bunker prices, time benefits, carbon value and multi-vessel fleet economics.
Vessel & Fuel Baseline
Choose a vessel archetype for a starting point, then overwrite any assumption. Preset consumption values are screening defaults only and are not vessel-specific performance claims.
t/day
days/year
$
/ t
%
%
Discounts modeled savings for execution, weather, charter instructions, speed orders, schedule constraints and crew adoption.
Software & Implementation Cost
$
$
$
$
$
years
Fleet Vessel Schedule
Model different vessel types, fuel burn, route coverage, realization and software economics in one fleet. The tool ranks vessels by required fuel-saving percentage and annual value at the entered target saving.
| Vessel / class | Qty | Fuel t/day | Sea days | Voyages | Coverage % | Realize % | Fuel / t | License / yr | Support / yr | Integration | Hardware |
|---|
Optional Value Beyond Fuel
days/voyage
$
/ day
tCO₂e/t fuel
Enter the factor appropriate to the fuel and accounting boundary being screened.
$
/ tCO₂e
%
Commercial screen: This tool does not assume an AI routing system will deliver a particular fuel-saving percentage. The 1%, 2%, 3% and 5% cases are decision scenarios. Actual savings depend on vessel condition, route, weather, charter-party instructions, speed orders, schedule flexibility, data quality, optimization objective, master acceptance and how much of the recommendation is executed.