How AI and Machine Learning Will Transform Airline Revenue Management
Unpredictability and volatility are likely to outlast Covid-era entry requirements and border restrictions — and profitability will be even more difficult to achieve in this challenging and uncharted environment. That makes real-time decision-making to optimize revenue more important than ever.
Making airfare as affordable and convenient as possible for passengers — even amidst rising costs and tighter scheduling — will allow airlines to weather the storm by maximizing capacity and creating a better flight experience.
Join FLYR and Skift for a webinar discussion that will help carriers understand how to surface trends with the speed and agility they need to make real-time flight pricing decisions, as well as the dozens of other decisions they have to make at every customer touchpoint.
What You’ll Learn:
- Why legacy forecasting solutions are ill-equipped for today’s challenges
- How artificial intelligence and machine learning offer airlines a critical opportunity to gather the right insights, update them continuously, and have them readily available
- How to accurately predict changes and optimize revenue in the rapidly evolving air travel environment
Dan Marcec, Research Editor, Skift