Chartering is slowly shifting into a more data-led process, as high frequency AIS analytics from platforms like Kpler start to expose something the industry has long worked around: vessel performance is often very different from what paper specifications suggest.
For a long time, most chartering teams have made decisions based on fairly standard inputs CP specifications, class certificates, recent inspections and broker information. It’s a system that has worked, but it has always had blind spots.
The main issue is that CP specs describe how a ship is supposed to perform when it leaves the yard. They don’t reflect how it performs years later in real trading conditions. And there’s no obligation for owners to fully disclose the gradual decline in efficiency between dry-dockings.
In practice, that means a large part of the fleet is likely running 5–15% above its stated fuel consumption, especially as hull fouling builds over time. And that difference matters a lot when fuel costs sit with the charterer.
So two vessels can look almost identical on paper, be fixed at similar rates, and still generate very different operating costs once they start trading.
This is where AIS-based analytics changes the picture. Through systems linked to Kpler — including MarineTraffic, FleetMon and Spire Maritime vessel movements are now tracked continuously at high frequency, with precise positioning data.
When that AIS data is combined with weather conditions like wind, waves and currents, it becomes possible to separate what the vessel is actually doing from what the environment is forcing it to do.
In simple terms, you can filter out “bad weather effects” and start seeing the real performance of the ship. That allows charterers to identify things like hull fouling, engine degradation, and longer-term efficiency loss.
It also opens up more practical comparisons. You can evaluate vessels sailing similar routes under similar conditions and immediately spot differences in speed and fuel consumption. Over time, you can even map how performance declines over 6 to 18 months, especially as ships move through warmer, fouling-heavy regions.
The result is a much clearer view of risk before the fixture happens. Instead of discovering underperformance after a charter is signed, technical and chartering teams can now screen vessels in advance using actual operational evidence.
It doesn’t replace traditional vetting, but it adds a layer that has been missing for years: continuous, independent performance tracking.
And in a market where small efficiency gaps translate into real money, that shift is starting to matter a lot more than it used to.
