Sector
Ports run on decisions made before the ship arrives.
Berth availability, feeder allocation, and inland connection are decided under congestion that has structure rather than randomness. The granted patent covers stochastic maritime optimization specifically, which is where this platform started.
of world trade volume moves by sea
UNCTAD estimate
of global container capacity sat in port queues at the 2021 congestion peak
industry estimate
the utilization level where queue mathematics turns against the port
queueing theory
The surface
Quinnintel.
Network intelligence for sovereign and enterprise port operators, with scenario modeling and decision support at national scale.
Interact with the problem
Berth utilization against waiting time, the mathematics that governs every congested port. Push the arrivals and watch the curve answer.
The last slice of utilization buys most of the waiting.
Push arrivals against berth capacity and watch the queue math.
Congestion is not linear in load. It is a queue, and queues explode near saturation.
What the core does here
Three capabilities, one engine.
Stochastic routing under congestion.
Berth and feeder assignment solved with a bound rather than a guess.
Read the methodDisruption simulation across correlated lanes.
Regime and jump models feed the optimizer distributions, not averages.
Read the methodCapacity valuation at the berth.
Shadow prices on scarce capacity price displacement explicitly.
Read the methodDeployed as a multi-tenant intelligence platform for a port authority operator, with tenant isolation enforced at the data layer.
From the Journal
The thinking behind the surface.
The engine is the same across every sector. Only the surface changes.
If your network makes decisions under uncertainty, we should talk.
We work with a small number of operators at a time. Tell us what your network is optimizing for.
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