Fleet Performance Intelligence
How does the fleet perform against peers, and what is AI worth?
Benchmarks the fleet from benchmark to diagnosis, then to priorities and measurement. The sample covers 12 simulated vessels and 69 KPIs, with every KPI shown by ship against a median and a best-in-class figure; targets are illustrative.
- KPI by ship against median and best-in-class
- AI solutions mapped to the gaps found
- Value simulator to size the prize
- KPI data lineage
- Duration: 4–6 weeks for an outcome-based POC
How the AI works. The intelligence benchmarks every KPI by ship against median and best-in-class, maps AI solutions to the gaps it finds, and sizes the value of closing them in a simulator, with the data lineage behind each figure.
The finance view shows OPEX variance, OPEX per vessel day, maintenance spend variance, crew cost variance and budget forecast accuracy for the top ships, colour-coded against benchmark. Further views map AI solutions to the gaps found, size the prize in a value simulator and trace each KPI back to its data lineage.