Airlines Turn to AI for Pricing and Passenger Loyalty
Airlines have long used revenue-management systems to adjust fares as seats sell, but AI can process booking velocity, remaining inventory, rival schedules, weather and operating costs at greater speed and scale. Carriers are also applying the technology to loyalty rewards, personalized offers and complaint handling. The shift could lift revenue and retention in a thin-margin industry, while intensifying questions about pricing transparency, data privacy and whether automation strengthens or erodes passenger trust.
Delta Air Lines said on July 10, 2025, that technology supplied by Israeli startup Fetcherr was being used to price about 3% of its U.S. domestic network, with a goal of reaching 20% by year-end. Delta later said the system relied on aggregated market signals rather than personal data to produce individualized fares. On April 16, 2026, Kenya Airways announced its adoption of FlyNava Technologies’ Jupiter 5.0 platform to accelerate fare updates and deliver more consistent pricing across its network.
All Coverage
1 original reportsThe Backstory
The history behind this eventAirlines Turn to AI Pricing, Squeezing Cheap Fares
Airlines have long relied on revenue-management teams to set rules — such as raising fares 20% once a flight is one-quarter full — and allocate seats across fixed fare buckets. AI changes that model by weighing variables including demand, rival schedules, booking pace and operating costs, then recommending prices in real time. The shift matters because it can close gaps that produced unexpected bargains, allowing carriers to capture more of what travelers are willing to pay, especially on busy routes.
Bloomberg reported on July 30, 2026, that rising costs are pushing carriers including Delta Air Lines and Virgin Atlantic toward AI-assisted pricing. Delta partnered with Israeli startup Fetcherr; in July 2025, the airline said the system influenced about 3% of domestic fares and targeted 20% by year-end. Delta has said the tool uses aggregated, flight-related data rather than personal information. Industry experts expect the technology to lift fares on popular routes and reduce seats sold below airlines’ estimates of customers’ willingness to pay.
Subscribe to Mark Radar Weekly
Every Friday, the week's strongest signals in your inbox. Unsubscribe anytime.