Airlines

The BBC article about Easyjet ahd their cabin bag pricing misses the wider reality: this isn’t misleading pricing, it’s textbook airline revenue management

For airlines, data is a complex mosaic. Embracing multi-source complexity helps navigate the probabilistic future of airline distribution.

By leveraging Offline Reinforcement Learning to optimize pricing and On-Demand Intelligence, airlines can achieve a new tier of revenue maximization

Growth opportunity in loyalty is not reshaping behavior of top 10 percent; it is activating the silent middle; millions who gain points but don’t use them

When profitability is limited, a price first strategy quickly becomes a race to the bottom, eroding financial performance and diluting customer trust

The latest McKinsey Global Survey on the state of AI reveals a landscape defined by both wider use and stubborn growing pains

What does the travel industry need to know as it ponders going all in on agentic AI? How suited is Agentic AI to the unique dynamics of the travel sector?

From baggage fees to in-flight meals, and even loyalty-based perks, these ancillary revenues have evolved into a $148 billion industry for airlines alone

Travelers visit up to 277 web pages before booking a trip, 2.5 pages a day in the early phase of planning and up to 25 on the day of purchase

Travel isn’t merely an interest these days. It’s become a priority – even amid uncertain economic conditions that can make budgeting a challenge