Data and AI are commercial differentiators because they turn scattered operational data into faster, better-priced decisions. A shipping company running on a connected data ecosystem can see the dollar and CO₂ consequence of a voyage decision before committing to it in seconds, not days. That changes which cargoes are worth taking, which routes are worth running, and how much fuel is burned getting there.
For ZeroNorth's customers, that advantage comes from three things working together:
- Scale of data — 1.3 trillion data points processed across voyage, vessel and fuel operations, spanning more than 5,500 vessels and 200 customers
- Speed of decision — an average of 9 seconds to generate a route optimisation, and 650,000+ fuel model requests served per day
- Breadth of optimisation — commercial outcome, safety and emissions reduction evaluated in the same decision, not traded off in separate tools
Connecting a scattered data landscape
Shipping's data problem is not scarcity, it is fragmentation. Operational data sits in noon reports, broker emails, bunker invoices, class records and onboard systems that were never designed to talk to each other. Decisions get made on the subset of data that happens to be at hand.
At ZeroNorth we believe the opportunity is in connecting those dots. When data points from across the value chain sit on a common platform, operators can act and see the impact of that action in both dollars and CO₂.
We take a scientific approach to the decision-making process: evidence-based reasoning, without bias, with the complexity stripped away so that the business opportunity comes into sharp focus.
One of the maritime industry's largest connected data ecosystems, spanning 5,500+ vessels across voyage, vessel and fuel operations.
Why holistic optimisation compounds commercial value
Real-time data and second-by-second decision-making let operators optimise voyage, vessel, bunker and emissions performance together and because each affects the others, optimising them jointly returns more than optimising them separately.
That compounding is the value multiplier. A route chosen for weather also changes fuel consumption, which changes bunker purchasing, which changes CII outcome. Optimise them in isolation and you leave value on the table at every handoff. Concretely, joint optimisation affects:
- Voyage — route and speed profile chosen against live weather and currents
- Vessel — hull and machinery performance factored into consumption forecasts
- Bunker — purchase timing and port choice informed by the actual voyage plan
- Emissions — CII outcome visible at the point of decision, not after the fact
The gains are measurable. AI models trained on the platform's pooled data surface an average 2.3% fuel efficiency improvement that conventional methods miss. Where high-frequency sensor data is available, high-resolution analysis reveals a further 3–8% of efficiency gains that only continuous monitoring can isolate from weather, current and draft.
The data flywheel: how the platform keeps improving
To keep our solutions as dynamic as the industry, we run a programme of continuous improvement built on the data flywheel:
- More data enters the platform — from vessels, voyages, bunker transactions and emissions reporting
- Products and models get better — richer inputs sharpen the recommendations
- Customers make better decisions — with more granular insight into fleet operations
- AI analyses those decisions and their outcomes — feeding evidence back into the models
The loop closes, and each turn makes the next recommendation more reliable. In practice it delivers deeper insight into fleet operations, more assurance in the recommendations the platform makes, and more connected workflows across teams.
Growing sophistication: Green Choice routing and next-generation fuel models
The flywheel is also what lets us increase the power of our systems. Two current examples:
- Green Choice routing — combines emissions reduction potential with safety and commercial outcomes, and gives CII rating transparency and optimisation in the same view. [[ Link to Voyage Optimisation page ]]
- Next-generation fuel models — under development now, predicting fuel consumption against real-world conditions including weather, currents, vessel characteristics and maintenance schedules. Targeted for [[ quarter / year ]].
We can build these because data collection and integrated technology have matured to the point where they give a genuinely clear picture of the reality a vessel faces at sea.
The fuel models already in production serve over millions requests per day at a neglible error rate, across multiple vessels with sensor data connected directly to the model.
What this means as shipping transitions to cleaner fuels
The advantage of embracing data and AI grows as the industry moves to cleaner fuels. Revenue gains unlocked by the platform help fund that transition: every tonne of fuel saved through voyage optimisation is money the sector can put into low-carbon alternatives instead.
Shipping needs the right blend of advanced technology and the guiding hand of human expertise to stay competitive while reducing emissions. Where ZeroNorth combines the two:
- Technology — voyage, vessel and fuel workflows on a single platform with one data source, so a routing decision, a consumption forecast and a bunker purchase are evaluated against the same picture. Over 200 real-time validation rules check incoming data, with a data health score per vessel.
- Human expertise — a dedicated voyage optimisation team works alongside customer operators, monitoring deviations, handling re-optimisations and escalating only when commercial input is needed. A dedicated data quality team supports reporting across 1,200 vessels, and our professional services team guided 1,789 vessels through 103 named storms in a single year.
- Measurement — post-voyage analysis compares actual sailed cost against the optimal, so the value of each decision is visible rather than asserted.
Imagine a future where owner and charterer have full transparency over vessel performance and marine fuel procurement, and can make mutually beneficial decisions. That collaboration will grow throughout the energy transition so long as it rests on high-quality data that is secure and connected.
We are excited to be helping our clients harvest the competitive advantages we can already deliver, and ready to empower decision makers further towards our shared mission of making global trade green.
