Revenue Management Optimization with AI
The Challenge
Transat is focused on optimizing its Revenue Management (RM) practices as part of its broader Elevation program, which aims to improve operational efficiency and enhance competitiveness in the global airline industry. This initiative focuses on two strategic priorities designed to unlock substantial incremental revenue: optimizing branded fares and ancillary pricing through machine-learning models that better capture customer willingness to pay and predicting no-shows with AI tools to refine overbooking strategies and reduce empty seats. By embedding these AI-driven capabilities, this initiative is expected to drive meaningful revenue growth and reinforce Transat’s leadership in data-driven airline management.
“Integrating AI into our Revenue Management represents a major step forward in our commercial transformation. It enhances our ability to forecast demand, refine booking patterns, and predict no-shows—ultimately enabling smarter, more profitable decisions across our network.”
– Sebastian Ponce, Chief Revenue Officer, Transat
Investment
$
3.1
M
Scale AI investment
$
7.7
M
Total investment
Partners
