Case study · 2021

Sea4Value / SMARTER — port logistics data flows

Contributed to data flows and real-time driver communication patterns for a DIMECC-coordinated programme on smart terminals and port logistics.

EU R&D Maritime Emissions
2021

Context

Sea4Value / SMARTER ran across the Finnish maritime cluster — port operators, shipping lines, hauliers, and platform vendors — to make port-side coordination measurably better. Two of the threads I worked on were emissions calculation across the multi-leg movement of a load, and real-time communication with truck drivers as containers moved between modes.

Problem

Emissions calculation is straightforward when one organisation owns the whole journey; it falls apart when a container moves through three carriers, two ports, and a fourth-party logistics provider — each with their own systems. Real-time driver communication has the same shape: you need to push an updated ETA or gate assignment to a driver who works for a haulier you don't directly contract with.

Approach

Worked on the patterns rather than a single product — message contracts, the trust layer for cross-org identity, and the emissions data model that could be assembled from per-leg contributions. Published in DIMECC Publications No. 26 as part of the programme outputs.

Outcome

The patterns became inputs into FEDeRATED-adjacent work. The emissions reference is publicly cited.

What I learned

Programme work like this teaches you to design for adoption, not just correctness — a beautiful schema nobody implements is worth less than a clunky one that three companies actually deploy.

DIMECC publication →