Why airline capacity is the most mispriced resource in global commerce.
Every seat, pallet position, and departure slot is inventory with a hard deadline. Right up until the doors close it can still be sold at a price that reflects real demand; the instant they close, whatever wasn’t sold stops being worth anything at all.
Capacity does not lose a little value when it expires. It loses all of it, permanently.
The model
Set your network below, then run the year.
Read the result
At the load factor and price you set, {{ unsoldSeatsDisplay }} tonnes of capacity go unsold across the year — space that existed, cost money to fly, and earned nothing. Under a static rate card, that destroys {{ staticLossDisplay }} in a single year.
Pricing that capacity dynamically against real-time demand, instead of a fixed rate set weeks in advance, recovers {{ recoveredDisplay }} of that — not by selling more seats, but by pricing the seats that do sell closer to what they were actually worth in the moment.
The gap between {{ staticLossDisplay }} and {{ dynamicLossDisplay }} is the size of the opportunity most networks leave on the table by treating capacity like a durable good instead of a perishable one.
The method
This model deliberately simplifies. It assumes a constant load factor and price across every flight in the year, rather than modelling day-to-day demand swings, seasonality, or route-level variation. It applies dynamic pricing as a single flat recovery rate on the value that would otherwise be destroyed, rather than simulating a real pricing algorithm.
Real networks are messier than this in both directions — some routes recover more, some less, and demand volatility changes the picture week to week. The model exists to make the size of the opportunity legible, not to replace a real pricing engine.
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