MIT Technology Review examines how airlines can apply market models to set prices across their operations. Each day an airline carries tens of thousands of passengers on hundreds of flights, many of which involve multiple connections rather than simple point-to-point routes.
Pricing any individual journey can involve hundreds of variables. According to the description, these include demand, season, time of day, current events, global markets, and the activity of competing airlines.
Why it matters
The complexity of pricing multi-connection journeys across a large flight network illustrates a use case where models weighing many interacting variables could support revenue decisions.
Who should care
Airlines and others managing pricing across complex networks with many demand and market factors may find the framing relevant.