Advanced AI and machine-learning techniques are transforming how airlines optimize their revenue. Wiremind has been at the forefront of this shift since 2014.

In this episode, Charles Pierre, CTO and Co-founder of Wiremind, joins Garth Lund to explore the future of revenue management. This deep dive covers AI’s evolution in revenue management, what airline RM can learn from other industries, and the potential of agentic AI to improve pricing decisions. 

(0:57) Intro to Wiremind

(03:31) What airline RM can learn from the rail and bus industries 

(07:17) What is best-in-class use of contextual data for pricing decisions

(10:10) Forecasting and optimization in Wiremind

(14:28) Introducing agentic RM 

(21:30) Combatting the black box and other challenges for AI in RM

(27:11) Bringing RM to ancillary pricing

Audio version available on Apple Podcasts and Spotify.

Previous episode:

Ep 4: The growing role of AI in airline customer service - with Garth Lund and Xavier Orr
Disrupted flights result in costs of over €100 million per year for large airlines like easyJet or Wizz Air. They also drive high volumes of claims that must be managed by airline customer service teams. In this episode, Xavier Orr joins Garth Lund to discuss the practical application of AI
The Engine CowlThe Engine Cowl