Logistics Tech Outlook

This article is part of Logistics Tech Outlook's Innovation Insights series featuring expert contributions nominated by our subscribers and reviewed by our editorial team.

Eugene Sypachev, PortXchange | Logistics Tech Outlook | Top Digital Emissions Monitoring Platform in Europe

Engineering Clarity into Maritime Decarbonization

Eugene Sypachev, Head of Engineering , PortXchange

Emissions Visibility Champion

Editor’s Note: Logistics leaders need clearer emissions intelligence as decarbonization becomes increasingly tied to freight choices, regulation and operational performance. Sypachev’s perspective matters because better visibility can turn sustainability from an abstract objective into a practical decision factor across ports, carriers and cargo owners.

Eugene Sypachev is Head of Engineering at Port-Xchange, where he leads engineering and product strategy. He brings over a decade of software engineering experience across fintech and enterprise tooling and has spent the past six years deep in the maritime sector, first as a Software Engineer, now steering the technical direction behind our port call optimization, inland barging and emissions tracking tools. He holds a Master's in Physics.

Software Engineering with a Climate Purpose

For me it's two-fold.

As a software engineer, I'm excited to solve hard problems and the maritime industry has plenty of them. It's a notoriously old-school and complicated sector and it has an enormous room for software to make a difference: streamlining operations, improving monitoring, replacing legacy approaches that proved ineffective in the modern age. There's a real thrill in solving such problems.

The other half is wanting to work somewhere the problem actually matters. With climate change starting to be felt by a larger share of the planet's population, the work on controlling and reducing emissions is more important than ever. Maritime shipping carries roughly 90% of global trade, yet accounts for about 2-3% of global CO2 emissions. It sounds low in relative terms, but translates to close to a billion tons of CO2 annually out of roughly 40 billion emitted globally. That's the kind of number where even incremental improvements in efficiency or visibility can lead to a real climate impact. Knowing that the systems we build can help reduce the odds of the worst climate outcomes is what makes the work feel worth doing, not just interesting.

Making Emissions Visible Enough to Shape Freight Decisions

I don't think there's a single barrier. The problem is that the way the industry buys and moves freight was never designed with emissions as a decision-making factor.

For most logistics companies, freight is still bought primarily on cost, service and transit time. The port may be determined by the shipping line or freight forwarder ORsimply by geography and where the cargo ultimately needs to go. The environmental impact of that journey - including emissions generated in and around the port - is rarely part of the buying decision.

That creates a fairly fundamental problem. Even if a cargo owner wanted to compare the emissions associated with different routes, carriers or ports, in many cases they couldn't. The data may not be available at the right level, may be calculated differently by different parties ORmay not follow the cargo through the supply chain in a form that allows meaningful comparison.

This becomes particularly important with Scope 3. Shipping lines, freight forwarders, terminals and ports may each hold different pieces of the picture, while the company buying the freight may have limited visibility of the emissions impact of decisions made further along the chain.

You cannot manage an impact you cannot see.

There are technical barriers behind this as well:

Maritime emissions data is still fragmented and much of it is approximated from fuel usage rather than measured directly. Installing proper measurement equipment on vessels and upgrading systems to transmit that telemetry, is a major undertaking.

Data-sharing is a legitimate commercial and security concern. Exchanging emissions-of-fuel-consumption data can expose sensitive operational information for vessel operators and ship-owners.

Fleet transition is slow. Building vessels suited to alternative fuels takes years, while retrofitting existing engines can be impossible or require operational downtime owners are reluctant to accept.

Alternative fuels also involve difficult trade-offs. For all its downsides, oil remains an extraordinarily efficient, energy-dense and mobile fuel source and its replacements bring technical and economic compromises of their own.

Regulation is developing at different speeds across jurisdictions and enforcement remains difficult.

None of these problems has a simple solution. Companies operate in an uncertain environment and have to balance cost, service, risk and, increasingly, emissions. The first thing that needs to change is visibility: give companies credible, comparable emissions data across the logistics chain and environmental performance can start to become a genuine buying criterion alongside price, reliability and transit time.

Until that happens, we're effectively asking companies to make lower-carbon logistics decisions without giving them a complete enough picture to do so properly.

Leading from the Executive Floor to the Engine Room

Three things I reach for:

The first is Gregor Hohpe's "architect's elevator": you have to be able to get out on every floor: talking to executives on one, elbow-deep in machine oil with engineers on another.

The second is don't fly blind. Every decision needs some form of telemetry: customer feedback, performance data, whatever's relevant to the context. It's a discipline as much as a data requirement. It keeps you a step removed from hype cycles and makes your opinions considered rather than reactive.

  • Companies operate in an uncertain environment and have to balance cost, service, risk and, increasingly, emissions. The first thing that needs to change is visibility: give companies credible, comparable emissions data across the logistics chain and environmental performance can start to become a genuine buying criterion alongside price, reliability and transit time.

The third is postponing decisions until the right answer becomes obvious. When that's not possible, the fallback is a meta-decision: one that keeps the actual choice cheap to reverse.

Fragmentation Before the Next Wave of Standardization

I don't expect a large reshaping of the industry unless we face a large-scale event that forces the shift. Technological change in hardware is slow, particularly in an industry with the kind of massive capital investment maritime represents. Software can optimize ORhighlight the best solution given existing constraints, but the real change has to happen on the hardware side.

If anything, I foresee a more negative trend: increasing fragmentation. This is the trend that is already visible. Different future fuels require different hardware adapters on vessel engines, as well as different onshore infrastructure and bunkering vessels. The investment and supporting costs involved will be significant and the second wave of investment needed to standardize all of it again afterward will likely be even larger.

I expect something similar on the regulatory side: more frameworks will appear, with regulatory bodies disagreeing on details, which will slow adoption of monitoring tooling generally. Looking at this through the lens of spiral dynamics (this is a developmental model that suggests human consciousness evolves through distinct value systems, each emerging when previous ways of thinking can no longer solve current life challenges) it's a natural cycle: we're currently in a state of relatively high standardization and the next phase has to pass through chaos before it reorders again. That's not necessarily bad news: more chaos also means more competition and competition tends to drive progress.

Building Cross-Disciplinary Skills Without Losing Critical Judgment

I expect the intersection of technology and sustainability to become a genuinely in-demand space and a diverse one. Civil engineering, architecture and city planning all stand to benefit from sustainability knowledge. Logistics has plenty to offer in electric vehicles and efficient cross-modal transportation. Software itself can become more sustainability-aware. We've seen this pattern before: cross-disciplinary fields have kept emerging over the last 50-70 years and this looks like the next one.

These emerging disciplines will be hard to learn, because they sit on the boundary of multiple areas: they demand real, in-depth knowledge of more than one field. Speed of learning, structured learning, analytical skill and simple observational ability combined matter more than usual here.

The harder challenge, though, is staying unbiased. Social and traditional media, including activists across the spectrum, publish an enormous amount of misleading or wrong information and thoughtful, considered opinions get drowned out in the noise. Generative AI risks amplifying that further. Reasoning clearly, in this environment, is a real challenge and a good back-of-the-napkin sanity check is your best friend.

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The articles from these contributors are based on their personal expertise and viewpoints, and do not necessarily reflect the opinions of their employers or affiliated organizations.