13/08/2026
π’ Matching Vessels to Cargo: Why It's Still So Hard
In dry bulk and general cargo, one problem quietly drains value across the whole industry: matching the right cargo to the right ship. Cargo owners struggle to find suitable vessels, shipowners struggle to find quality cargo, and the result is idle tonnage and wasted capacity from inland waterways to ocean trunk lines. On the surface it looks like an information-flow problem but the real causes run much deeper.
π Key Information: The scale of the problem
The inefficiency shows up plainly in the numbers. Industry data suggests around 35% of China's inland vessels run empty, with some bulk routes above 40%, and it can take 3β7 days to match an owner with a cargo β often ending in a deal that doesn't really fit. Every idle day still burns fuel, crew, and port costs that small owners can't afford, while shippers stuck without a ship face stranded cargo, missed deadlines, and higher rates.
1. The information is scattered. There's no single place to find it. The market runs on endless emails and messages about cargoes, freight, and open ships. Just to see the current picture, a broker has to chase dozens of contacts a day and piece it all together by hand. Collecting the information takes more effort than the actual matching.
2. The market is fragmented. Dry bulk has countless small players, most fixing one trip at a time, and no one is big enough to move rates alone. Buyers spread their business around too β many large shippers use several brokers at once β so information sits thinly across many hands, and nobody sees the whole picture.
3. A wrong match is expensive. The right cargo needs the right size and type of ship. Get it wrong and the cost is instant: too little capacity means delays, too much means paying for empty space. And for an owner, the first cargo matters most β a bad start can put the ship on an unprofitable path for months.
π Key Information: The underlying root causes
The dilemma traces to four structural gaps rather than one simple cause.
1. Digital transformation is unfinished. Most supply-and-demand data still lives offline or in private networks, in "islands" that never connect. The market runs on plain email, and even the tools built to help mostly speed up manual searching rather than truly matching ships to cargo. The information is there β just not in a form that machines can match at scale.
2. Too many middlemen, no common standard. Forwarders and brokers hold the market together β owners reportedly get over 90% of their steady cargo through forwarders β but some guard that information to protect their own value, lengthening the chain and adding cost.
3. Standard listings can't capture real needs. There's no unified way to list a ship or cargo, so key details go missing β "steel" with no grade, or a port with no draft limit. Owners want profitable cargo with good return options; charterers want safe, on-time, affordable capacity. So many matches look fine on paper but fail on real constraints like draft, hold cleanliness, or laycan β and the "right" ship is really just the one in the right place, which keeps changing.
4. Trust is weak. Every match is basically a promise to perform, but there's no shared credit system and few guarantees. Charterers worry a ship lacks real credentials; owners worry the cargo or the payer isn't reliable. That mutual caution β plus a general slowness to adopt new tools β keeps both sides from dealing freely.
π Insights from a ship broker
None of these pain points is really about technology β they're about information and trust. On any given day, the hardest part of the job isn't negotiating the fixture; it's knowing, before anyone else, which vessel is genuinely open, where, and when, and which cargo is genuinely firm. That picture is stitched together from dozens of conversations and it goes stale fast β a position open this morning may be fixed by lunch. That's why speed and reliable contacts matter as much as any platform.
We also see why the "just digitize it" story oversells itself. An algorithm can suggest that a ship and a cargo fit on paper β right size, right dates, right region β but it can't tell you whether the owner is comfortable with that trade, whether the charterer pays on time, or whether the last time those two parties worked together it ended in a dispute. Those judgments come from relationships, and they're exactly what decides whether a match becomes clean, repeatable business.
So our view is that the winners won't be the brokers who resist the tools, nor the platforms that think they can remove the broker β it'll be the people who use better data to move faster and still bring the market knowledge and trusted relationships that turn a theoretical match into a real fixture. The dilemma isn't broker versus machine. It's information plus judgment, and both have to be strong.
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π© Looking to fix cargo or tonnage in the region? Talk to JAHLINE INTERNATIONAL.
Ms. Jenni
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Disclaimer: This article summarizes publicly available information. Views are our own. Sources are credited where applicable.
