AI for Shipping and Maritime
Shipping is the sector where a small percentage improvement in fuel consumption is worth more than most AI projects deliver in total, and where the regulatory picture is genuinely unsettled.
Fuel dominates the operating cost of a vessel, and the levers on it — speed, routeing, trim, hull condition, port waiting — are all measurable and all interact. The constraint is usually the resolution of the data you have about them.
AI for shipping and maritime covers voyage and speed optimisation, fuel consumption and emissions analytics, port call and berth planning, container flow and empty equipment repositioning, ETA prediction, and hull and machinery condition monitoring.
Voyage optimisation and the data resolution problem
Speed, routeing, weather and trim together determine fuel consumption, and the relationships are physical and well understood. What varies enormously between operators is whether the data describes those relationships at a useful resolution.
| Data source | Resolution | What it supports |
|---|---|---|
| Noon reports | One observation per day | Voyage-level analysis; too coarse for optimisation |
| Continuous fuel monitoring | Minutes | Real speed-consumption curves per vessel and condition |
| AIS | Frequent position | Routeing, port waiting, network analysis |
| Weather hindcast | Gridded, historical | Separating weather effect from vessel performance |
| Hull and propeller condition | Periodic inspection | Fouling effects, which are large and gradual |
| Engine telemetry | Continuous where fitted | Machinery condition and efficiency |
Noon reports are not telemetry, and treating them as such produces confident nonsense
A single daily observation of speed, consumption and weather cannot resolve the relationships an optimiser needs, and averaging over a day hides exactly the variation that matters. Where continuous monitoring exists, voyage optimisation works well; where only noon reports exist, the honest answer is that the analysis will be voyage-level rather than operational, and that continuous monitoring is the higher-return investment. We say which situation you are in before proposing anything.
Emissions, and a regulatory picture that is still moving
Maritime decarbonisation is being regulated on multiple tracks and one of the most significant is not yet settled. That matters commercially, because it affects which compliance investments are justified now.
The IMO Net-Zero Framework is not adopted
Agreed in principle in April 2025, with the adoption vote delayed from October 2025 and negotiations continuing through 2026 and a projected entry into force around 2028. A supplier selling compliance tooling on the basis that it is in force is ahead of the facts, and worth questioning.
What is in force still shapes operations
MARPOL Annex VI efficiency measures and regional schemes including EU emissions trading for maritime already create measurement and cost consequences, and better fuel analytics serves those regardless of what the IMO does next.
Emissions measurement quality is the underlying capability
Whatever framework lands, credible fuel and emissions measurement per voyage and per vessel is the foundation. Building it now is low-regret; building compliance workflows against an unadopted framework is not.
Speed reduction is the largest available lever and it is commercial
Consumption rises steeply with speed, so slow steaming is the most powerful emissions and cost lever available — and the decision is a commercial trade against charter rates, schedule commitments and cargo value rather than a technical one.
Ports, containers and where the waiting happens
- Port waiting is a large and partly avoidable cost. Arriving early to wait at anchor burns fuel for no benefit; just-in-time arrival requires berth information operators frequently do not receive.
- Berth and yard planning is constrained optimisation. Established method, real gains, and the constraint quality decides adoption exactly as in road logistics.
- Empty container repositioning is a network flow problem. Structurally imbalanced trade lanes make this permanent and expensive, and it responds well to optimisation.
- ETA over long horizons has irreducible uncertainty. Port congestion, weather and customs are largely unobservable weeks ahead — report ranges rather than points.
- Hull fouling is gradual, large and measurable. Separating it from weather and loading effects is the analysis that justifies cleaning intervals.
Just-in-time arrival needs information you may not be getting
Slowing down to arrive when a berth is actually free saves substantial fuel and requires reliable berth availability information from the port — which many operators do not receive with enough notice or confidence to act on. Where that information flow exists, the optimisation is straightforward and valuable. Where it does not, the honest first project is establishing the data exchange, which is a commercial conversation with ports rather than a modelling exercise.
How an engagement runs
Data resolution is established first, because it determines whether optimisation is possible at all.
Data resolution assessment
What monitoring exists per vessel, and whether the data supports operational optimisation or only voyage-level analysis.
Data foundation
Consumption, AIS, weather hindcast, port call and hull condition data joined and time-aligned.
Build
Speed and routeing optimisation with weather separated from vessel performance, or port call and container flow work.
Validation
Against held-out voyages, with fuel savings measured on comparable routes and conditions.
Operation
Performance tracked as hull condition changes, with fouling effects separated from weather.
What you receive
Measurable fuel savings, and emissions data that will stand up whatever framework lands.
Data resolution assessment
Whether your monitoring supports optimisation, stated before anything is proposed.
Vessel performance models
Speed-consumption curves per vessel and condition, with weather effects separated.
Voyage and speed optimisation
Against schedule, charter and cargo commitments treated as commercial inputs.
Fuel and emissions measurement
Credible per voyage and per vessel — low-regret whatever the IMO adopts.
Port call optimisation
Just-in-time arrival where berth information supports it.
Container repositioning
Network flow optimisation over structurally imbalanced lanes.
Is this the right starting point?
Worth being direct. There are situations in shipping and maritime where custom AI work is the wrong spend, and those are listed rather than buried.
Worth doing if
- Continuous fuel monitoring exists and is not being used for optimisation.
- Vessels routinely wait at anchor after arriving early.
- Empty container repositioning is managed by rule across imbalanced lanes.
- Hull fouling effects are not separated from weather and loading in performance reporting.
- You need credible emissions measurement regardless of which framework lands.
Do something else if
- Only noon reports exist and there is no path to continuous monitoring.
- You want compliance workflows built against the unadopted IMO framework.
- Berth information is unavailable, so just-in-time arrival cannot be acted on.
- The constraint is charter terms that fix speed regardless of what is optimal.
Frequently asked questions
Marked up with FAQPage schema so these answers can surface directly in search results and inside AI assistant responses.
Can we optimise voyages using noon report data?
Only at voyage level, and it is worth being clear about that. One daily observation of speed, consumption and weather cannot resolve the relationships an optimiser needs, and daily averaging hides the variation that matters. Where continuous fuel monitoring exists the optimisation works well; where it does not, continuous monitoring is the higher-return investment and we would say so rather than build on data that cannot support the conclusion.
Is the IMO Net-Zero Framework in force?
No. It was agreed in principle in April 2025, the adoption vote was delayed from October 2025, negotiations continued through 2026, and entry into force is projected around 2028. Meanwhile MARPOL Annex VI measures and regional schemes including EU maritime emissions trading do apply. Building credible fuel and emissions measurement is low-regret; building compliance workflows against an unadopted framework is not.
What is the largest fuel lever available?
Speed, by a distance, because consumption rises steeply with it. That makes slow steaming the most powerful emissions and cost lever — and the decision is commercial rather than technical, traded against charter rates, schedule commitments and cargo value. The useful contribution is quantifying the trade precisely for your vessels and routes so the commercial decision is informed.
Why do our vessels arrive early and wait?
Usually because the berth information needed to slow down safely is not available with enough notice or confidence. Just-in-time arrival saves substantial fuel and depends on a data exchange with the port that many operators do not have. Where the information flow exists the optimisation is straightforward; where it does not, establishing it is a commercial conversation with ports rather than a modelling project — and it is the honest first step.
Can we separate hull fouling from weather in performance data?
Yes, and it is one of the more valuable analyses in vessel performance. Fouling produces a gradual, persistent increase in consumption at a given speed and loading, while weather produces variable effects that correlate with hindcast conditions. Separating them properly is what justifies cleaning intervals with evidence rather than by schedule, and it needs weather hindcast data joined at voyage segment level.
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