Vision

Science and data for better maritime decisions.

Our long-term vision is to contribute to Collaborative Decision-Making across maritime and port operations.

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What should Collaborative Decision-Making solve for you?

Choose up to three priorities. The answers help shape DatamarLab's next research steps.

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Datamar uses these details to follow up on your answer, and sends DatamarLab updates only if you ask for them.

Our vision

A more connected understanding of maritime transport.

Maritime transport connects markets, companies and people through a complex network of ships, ports, terminals and logistics operations. Decisions in each part affect how the whole system performs.

DatamarLab was created to help build a future where these decisions are based on information that is increasingly reliable, transparent and scientifically grounded. This vision is aligned with Collaborative Decision-Making (CDM).

Why CDM?

One system. Many partial views.

Participants still make decisions using different data, methods and views of operations.

Why CDM: one system, many actorsA loop: vessel schedules affect terminal utilization, which affects time in port, which affects shippers and cargo owners, which affects demand and capacity, which feeds back into vessel schedules. At the centre, shared knowledge connects every actor.Vessel schedulesTerminalutilizationTime in portShippers andcargo ownersDemand andcapacitySharedknowledge
  • Transparency on maritime operations
  • Vessel and port utilization
  • Operational inefficiencies
  • Environmental and economic impacts
  • Forecasting and scenario comparison
  • Scientific grounding for strategy

Why Datamar?

A partner the industry already trusts.

Collaborative Decision-Making depends on who gathers the industry's information, with rigour and independence. For 30 years, that has been Datamar's work.

  • 30 years in the industry

    Since 1996 we have followed South American maritime trade, vessel by vessel, port by port.

  • Partnerships from the start

    Long-standing relationships with shipping lines, agents, ports and terminals in Brazil, Argentina, Uruguay and Paraguay.

  • A relationship of trust

    For three decades, companies across the industry have entrusted their information to Datamar, always handled with care and in confidence.

  • Quality that doesn't slip

    We review and correct continuously, so that every TEU is accounted for. Quality is not negotiable.

  • A solid partner

    Stable, reliable and here for the long term: a partner the industry can lean on.

  • For the industry as a whole

    We work so that the whole industry moves forward. Collaboration works when everyone gains.

Our first step

Maritime Decarbonization

Total emissions do not show what belongs to a specific voyage, leg or cargo. Coordinated decisions require reliable methods to measure and compare.

Explore Maritime Decarbonization
  1. Demonstrated

    Single-voyage study

    One voyage analysed leg by leg, with emissions allocated to each shipment. Scientific article published; Executive Report available.

  2. In progress

    50-vessel study

    Scaling from 1 to 50 ships, tracking containers through transshipment, and including biofuels.

Decarbonization is our starting point — not the limit of our ambitions.

Next frontiers

Maritime and Port Analytics

Possible research lines, still to be prioritised and developed into specific projects.

Future research
  • Vessel utilization and capacity

    How available capacity is used along a route.

  • Routes and maritime services

    How South American shipping networks evolve.

  • Port and terminal efficiency

    Time in port, waiting and possible bottlenecks.

  • Supply, demand and port capacity

    How trade change affects ports and services.

  • Container flows and cargo dynamics

    Movements including transshipment.

  • Predictive models and scenarios

    Forecasting with transparent, validated methods.

Our approach

Data, science and technology — together.

  • Specialised maritime data

    30 years of Datamar experience organising South American maritime trade data.

  • Scientific research

    Methods validated by qualified researchers, with assumptions and limitations documented.

  • Technology and AI

    Tools for integrating and modelling large datasets — testable, auditable and explainable.

Value comes not only from data volume but from quality, consistency, validation and transparency. Future collaborative applications must respect confidentiality, usage rights and data governance.

How research advances

Building the future, one validated step at a time.

  1. Identify the problem
  2. Develop the method
  3. Proof of concept
  4. Validate and scale
  5. Share knowledge
  6. Explore applications

Not every research project becomes a commercial product. Scientific knowledge that improves understanding of the sector is valuable in itself.

Let’s talk

Help shape better maritime decisions.

Contact DatamarLab

Follow our research as it develops —