CREATING FINDING CORNERSTONE ACTORS
FOR MARITIME DATA'S FINANCIAL LAYER
OPENING // 01
INTRO
This is the third post in a loose series on the digitalization of maritime logistics. It started with some high-level thoughts on how systems thinking can contribute to the industry's future, and continued with a white paper worth your attention: The Floating Balance Sheet, which takes two of those high-level points and phases them down toward the concrete idea of cargo data treated as financial infrastructure.
This post digs a level deeper. The paper makes the case for what should exist; I want to find an avenue through which it could actually be implemented in a small, viable, and growable fashion.
Who is best positioned to build this, and how might they do it?
FRAMING // 02
THE SYSTEMIC CONTEXT
While the paper gives an extremely valuable systems level analysis, we need to switch into a different modality. Understanding the ideal and analyzing systemic dynamics is a different skill set than getting into the nitty gritty of exerting leverage over the system. Seeing systems is the realm of abstractions, patterns, and aggregate perspectives; affecting a system is the realm of human experience, specificity, and game theory.
One more principle before we continue: systems change is rarely about coordinating all the actors. It is primarily about finding leverage points that act as cornerstones for a new dynamic to establish itself. We must find focused, achievable interventions that proliferate through preexisting dynamics.
So with that in mind, let's set up our filters to find a good candidate that may be the cornerstone for the infrastructure set forth in the white paper.
FILTERS // 03
THE CRITERIA
The vehicle I've chosen to start with is not a platform, a consortium, or a standard. It is a small segment of the end-to-end function, deliberately small, that satisfies the following criteria:
- Built by an actor with something to fight for. This is the innovator's dilemma read from the other side: incumbents spend their strength defending a position, so the incentive to change a system pools with those who have something other than hegemony to fight for.
- It realizes immediate value. It should prove the infrastructure by using it in earnest, profitable with a single counterparty, not waiting for a network effect to fill in.
- Extensible without obvious dead ends. Other actors can join later for their own reasons, on their own terms, through the same two-party subsidiarity mechanics; any extra governance can emerge from self-interested behavior when necessary.
- Neutral by position, not by promise. The white paper is clear that the operator cannot compete in the markets it serves. The candidate's business must not compete with the actors whose data it needs.
- Permissionless. No consortium to convene, no standard to ratify, no regulator to petition before day one. The candidate starts inside legal and commercial frameworks that already exist, using bilateral contracts. Permissionless doesn't mean lawless: bilateral deals still carry confidentiality and data-protection compliance, but that's contract work, not consortium work.
- Incumbent-proof. "Why hasn't somebody already done this?" needs a structural answer. The innovator's dilemma, read from the incumbent's side, is the usual one.
Now run the usual suspects through the criteria. The scorecard below does it candidate by candidate; read each row left to right until it hits a wall (on smaller screens, expand a row to see the criteria). Every wall is named, because that's the point: these are structural failures, not failures of imagination.
SCORECARD // 04
THE FILTER-STACK SCORECARD
Candidates are evaluated against six criteria, read left to right. Legend: ✓ = passes · ✗ = structural fail (mechanism in Notes) · △ = partial credit (see Notes) · — = moot (a prior ✗ ended the run). Rule: a single ✗ ends the run; everything after it is moot.
| Candidate | Something to fight for | Realizes immediate value | Extensible, no dead ends | Neutral by position | Permissionless | Incumbent-proof | Notes |
|---|---|---|---|---|---|---|---|
| Industry consortium (or standards body) | ✗ | — | — | — | — | — | No single member's fight; value only arrives once many have joined, the exact shape of the graveyard |
| Logistics ERP giant (CargoWise, Descartes) | ✗ | — | — | — | — | — | A near-monopoly's fight is hegemony itself; the M&A record (e2open, $2.1B) shows consolidation around the data layer, not creation on it |
| Visibility platform (any of the 300+) | ✓ | ✗ | — | — | — | — | Its financial product would need the dark 40% its tracking can't see; and financializing carrier-sourced data risks the very pipelines that feed it |
| Sensor / IoT provider (owns the raw events) | ✓ | ✗ | — | — | — | — | A temperature log has no P&L until someone prices it |
| Ocean carrier (even the biggest) | ✓ | ✓ | ✓ | ✗ | — | — | Rivals won't feed a competitor's platform (the TradeLens post-mortem) |
| Bank (trade-finance desk) | ✓ | ✓ | ✓ | ✓ | ✗ | — | Buyer, not builder: can't hire the interpretation layer; committee-bound |
| Legacy marine insurer / P&I club | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ | An incumbent can't be incumbent-proof against itself: live per-shipment underwriting cannibalizes a book already profitable on historical loss tables |
| Forwarder fintech arm (honorable mention) | ✓ | ✓ | △ | △ | ✓ | ✓ | Partials: data limited to its own book; finances the cargo it also moves. Finishes the run but limps |
| Specialty cargo underwriter (MGA / insurtech) | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | Not the legacy insurer above: a new book, written on live events from day one, on reinsurer capital |
| Non-bank trade lender (specialty credit fund) | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | Advances against verified consignments; every loan profitable standalone |
| Commodity trader (internal build) | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | Instruments its own cargo to reprice its own financing; needs nobody's adoption at all |
CLOSE // 05
END
We are left with three:
- A specialty underwriter writing cargo cover against live events
- A non-bank lender advancing against verified consignments
- A commodity trader instrumenting its own cargo to reprice its own financing
I won't detail them here, as this post is about the process of using systems knowledge to find actors who could viably create such a change through their own gain, and the how deserves posts of its own.
For now, notice the property the three share, because it is the interesting, unintuitive part: none of them would sell the infrastructure. They would use it, bilaterally, at the point where information converts into margin, creating an infrastructure that could feasibly pay for itself, yet evolve elegantly into a mutually beneficial technological layer.