See 90 vessels on one screen.
Today’s decision = whether the ship is B
or D twelve months from now.
EU ETS allowances, IMO CII grades, TCE earnings, CapEx — all sitting in one decision matrix. Five minutes to settle a question that used to take five meetings.
Click any vessel to see AI-ranked intervention options
Synthetic 90-vessel example based on public industry benchmarks. Berge Olympus / Everest / Hakodate appear as the lead row.
Fleet-wide CII rating matrix
Berge Tai Shan
BB-006Intervention options · Berge Tai Shan
3 options · ranked by 5-year NPVReduce average speed by 0.5 knots
Apply the Voyage+ recommended speed curve fleet-wide
Q3 hull cleaning + Flettner rotor retrofit
One-time CapEx; long-term drag reduction + wind assistance
Buy EU ETS allowances; status quo
Hedge via the EU carbon market, no operational change
EU ETS + CII is the hardest regulatory constraint of the next five years
Full shipping coverage since 2024
100% of intra-EU emissions and 50% of EU↔non-EU emissions priced through the carbon market. ETS exposure for one Capesize on European routes ≈ $0.5–1M / year.
D × 2 years or E × 1 year triggers a SEEMP plan
Once triggered, owner must file a corrective plan. Charterers discount D/E vessels materially; residual value expected to fall $2–5M.
A/B vessels earn premium rates
BHP, Vale and Cargill already include CII clauses in long-term charters. B-grade or better can command a 1–3% premium.
How it runs under the hood
- 01 Data ingestion · Pull per-vessel fuel / distance / cargo from SERTICA, contracts + voyage records from Oracle ERP.
- 02 CII forecasting model · LSTM + residual net trained on 12 months of operating patterns to predict next-quarter CII trajectory.
- 03 Intervention NPV engine · Enumerates 12 interventions per ship (slow-steam, drydock, retrofit, allowance purchase…), Monte-Carlo simulates fuel and ETS price distributions, outputs 5-year NPV.
- 04 LLM narration layer · GPT-4o translates the matrix into a daily one-page brief for CEO / CFO / CCO.
A 90-day Cockpit POC
10 vessels × 18 months of historical data, AI vs human decisions.
KPIs: 1) CII back-test accuracy ≥ 85% · 2) at least one quantifiable intervention per vessel · 3) CFO-led acceptance.