Jacques Goudchaux has observed maritime technology's evolution from the pre-dotcom era through blockchain mania and the data-platform boom to today's surge in artificial intelligence. As CEO of AXSMarine, he believes the next breakthrough in shipping will come not from technology alone, but from combining AI with clean, validated and properly structured maritime data.

"AI anchored to trustworthy maritime data is what changes decision-making," Goudchaux told Maritime CEO.

The argument gained renewed relevance after Signal Ocean acquired AXSMarine in January. The combined entity is integrating their respective maritime datasets, analytics and technology operations, serving more than 1,500 clients at the time the deal was announced. The transaction is part of a broader wave of maritime technology consolidation, with companies such as ZeroNorth, Veson Nautical and others acquiring specialist platforms to bundle voyage optimisation, market intelligence and emissions tracking into unified offerings.

Goudchaux sees significant opportunity in applying machine learning to decades of voyage histories, port calls, freight fixtures and vessel-performance records. However, he argues that shipping has spent years collecting information without paying adequate attention to data cleaning, verification and normalisation.

"The industry will not improve by collecting more data," he said. "It will improve by investing in better data quality."

He estimates that shipping currently converts only about 15% to 20% of vessel data into actionable operational decisions, with the figure rising to approximately 30% to 35% among top-tier operators. Raw sensor data lacking reliable baselines, commercial context and properly verified vessel reports produces noise rather than intelligence, according to Goudchaux.

Having witnessed multiple technology cycles, Goudchaux points to blockchain for documentation tracking as maritime's most overhyped technology. Roughly eight years ago, it was routinely heralded as shipping's next transformative force. While the underlying concept remains sound, he says, persuading dozens of parties across multiple jurisdictions and competing commercial interests to participate in a shared ledger has proven enormously difficult. As a result, many pilots have quietly disappeared.

By contrast, Goudchaux identifies high-frequency port intelligence as one of the most underestimated opportunities in maritime technology. The industry tends to focus on vessel efficiency at sea, yet substantial inefficiency and emissions occur while vessels wait at anchor or alongside. Better congestion data and predictive berth availability could meaningfully reduce waiting times and unnecessary positioning — an area that has drawn growing attention from industry bodies such as the IMO, which has promoted Just-in-Time arrival initiatives as part of its greenhouse gas reduction strategy.

"It doesn't generate headlines," he said. "But it generates returns."

Voyage optimisation is another area where Goudchaux sees compelling economics already being delivered. Operators combining reliable weather data, fuel-consumption telemetry and disciplined voyage optimisation can achieve fuel reductions of 8% to 12%. Those savings carry additional weight under the IMO's Carbon Intensity Indicator framework, which from 2023 has required vessels to meet annual emissions-performance grades that can affect commercial viability. The primary obstacle, he argues, is no longer whether the technology functions, but whether companies consistently apply it.

On the broader challenge of scaling digitalisation, Goudchaux identifies integration — not cost — as the principal barrier. Maritime technology has developed in silos, with separate systems for voyage management, procurement, vessel performance and market intelligence. Proprietary ecosystems make interoperability harder, and resistance to changing established working practices compounds the issue. Scaling technology across different vessel types, operators and systems becomes what he calls "a project management nightmare" as much as a technical one.

If given the authority, Goudchaux would mandate a universal vessel and port-event reporting standard — a single common model governing voyage events, arrivals, berth movements and cargo operations. Today, the same port arrival can be recorded differently by AIS, the vessel's master, the terminal, the port authority and the shipowner. The Digital Container Shipping Association has made progress on standardising data exchanges for the container segment, but a comparable consensus across all shipping sectors remains elusive. Resolving that fragmentation, he contends, would unlock much of what the industry expects AI to deliver.

That philosophy extends to his perspective on maritime technology consolidation. Goudchaux sees genuine value in merging voyage-management systems with market intelligence, placing commercial context and operational execution within the same decision-making framework. However, he cautions that not all consolidation is beneficial. He expresses concern about technology companies being acquired primarily to populate portfolios designed for resale several years later — a pattern that can slow product development, intensify pricing pressure and render customer relationships more transactional.

"Maritime is a long-cycle industry," Goudchaux said. He emphasised that shipping requires technology partners with patience and genuine domain expertise rather than businesses optimised primarily around investment exit multiples.

After more than two decades observing maritime technology repeatedly reinvent itself, Goudchaux arrives at a measured conclusion. There will likely be no single technology that transforms everything, and AI itself is increasingly a commodity accessible to all. The competitive advantage, he says, lies in combining technologies into efficient workflows and feeding them with higher-quality information.

As Goudchaux puts it, data alone is no longer enough. What matters now is turning it into decisions.