Unlocking hidden revenue streams with market models

Airlines do not sell simple tickets anymore. They sell routes with connections, shifting demand, seasonal swings, and all the messiness of a wider world that keeps moving while the plane is still on the ground. Pricing that kind of travel has always meant juggling a lot of variables. Now generative AI-powered market models are being built to do that work in real time.

These models are trained on high-resolution numerical data and are meant to analyze, simulate, and predict complex financial behavior. The idea is not to sit on old trends or rigid rules. Instead, the model acts like an AI brain, pulling together different inputs and testing how a market might behave under different conditions before a commercial decision is made.

Virgin Atlantic is already using one in some markets. Dominic Kennedy, the airline’s senior vice president of revenue management, sales, and e-commerce, says it helps the team make faster and more granular decisions. He says it looks at demand, capacity, and bookings on a real-time basis, while also judging the airline’s position against competitors and market conditions.

That matters because pricing is only one piece of the puzzle. The same approach can feed inventory and revenue management too, which is exactly why these models are getting attention. When the market shifts by the hour, a system that can keep up is more useful than one that just remembers what happened last quarter.

The piece was produced by Insights, MIT Technology Review’s custom content arm, not the editorial staff, and it says human writers, editors, analysts, and illustrators were involved, with AI limited to secondary production work that received human review.