Commercial cargo vessel approaching port

Industry Solutions · Maritime

Maritime Business Intelligence Consulting

Turning vessel data, port operations, and fleet logistics into actionable competitive advantage.

Why Maritime Companies Need BI

The shipping industry generates enormous volumes of operational data every hour. Without the right architecture, that data becomes a liability rather than an asset.

Data Silos Across Vessels & Shore

AIS position feeds, SCADA machinery data, ERP voyage costs, and weather APIs all live in separate systems with no unified view. Decisions get made on incomplete pictures.

Slow Reporting Cycles

Weekly performance reports assembled manually in Excel cannot drive real-time decisions. By the time the spreadsheet lands in an inbox, the voyage is already over.

Compliance & Audit Burden

IMO DCS, EU MRV, and EU ETS regulations demand accurate, time-stamped fuel and emissions records. Pulling audit-ready data manually is costly, error-prone, and unsustainable.

Our Maritime BI Services

From raw AIS streams to boardroom dashboards — we design and build the full maritime analytics stack.

Vessel Performance Analytics

Track fuel consumption, speed-through-water, trim optimisation, and voyage efficiency KPIs in real time. Identify underperforming vessels before they erode margins.

Fleet Operations Dashboards

A single pane of glass for your entire fleet — live position, ETA accuracy, idle time at anchorage, port dwell, and schedule adherence across every vessel class.

Port & Terminal Intelligence

Reduce vessel turnaround time with berth utilisation models, gate throughput analysis, and predictive congestion alerts. Turn port calls from cost centres into competitive advantages.

Regulatory Compliance Reporting

Automated pipelines for IMO DCS, EU MRV, and EU ETS submissions. Data is validated, versioned, and audit-ready — eliminating last-minute scrambles at reporting deadlines.

Tools We Use

We work with the technologies your team already knows — and the specialised maritime data sources that power real operational decisions.

Power BIAzure SynapseApache KafkaPythonPostgreSQLAIS Data FeedsCopernicus Weather APIAWS

Illustrative planning figures

Sample planning figures for fleet management, port operations and reporting. These are examples, not measured client outcomes.

Illustrative example. These scenarios and sample figures illustrate an approach. They are not verified client results or a promise of savings. Actual scope and outcomes depend on the data, systems and operating conditions.

25%

Sample increase in terminal throughput

40%

Sample change in reporting time

18%

Average fuel cost reduction through voyage optimisation

Illustrative example

Explore how an operational project could work.

These scenarios and sample figures illustrate an approach. They are not verified client results or a promise of savings. Actual scope and outcomes depend on the data, systems and operating conditions.

Illustrative example

Global Fleet Route Optimisation

Live weather and vessel data turned static voyage plans into continuously ranked routes.

18% lower fuel cost

Marine engineer inspecting vessel machinery

Illustrative example

Vessel Predictive Maintenance

Edge-to-cloud condition monitoring identified pre-failure patterns before breakdowns.

99.1% fleet uptime

Container vessel being worked by quay cranes

Illustrative example

Smart Port Turnaround

Crane tracking and yard scheduling improved the flow from berth to gate.

25% higher throughput

Ready to unlock your maritime data?

Whether you operate a single vessel or a global fleet, our maritime BI consultants will map a clear path from scattered data to decisions that improve performance, cut costs, and satisfy regulators. Start with a free 30-minute scoping call.

Get in Touch

Plan a practical first step

Bring to the assessment

One vessel or port decision, sample operational records, source-system access and the people responsible for the numbers.

Define the deliverables

A source map, agreed vessel/voyage identifiers, KPI definitions and a scoped operational dashboard or workflow.

Agree how it will run

Assess data quality, build one useful view, validate it with operations and define ownership before extending the scope.

We confirm the demonstrable workflow, data access, integration work and success measures during scoping. Examples illustrate an approach; they are not verified customer results.

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