Case Study: airBaltic boosts seat revenue with PROS AI-Powered Dynamic Ancillary Pricing

How airBaltic is Driving Seat Revenue with AI-Powered Dynamic Ancillary Pricing

airBaltic, the leading airline in the Baltics, wanted to move beyond static seat-assignment pricing and reduce the manual effort needed to manage ancillary offers. With PROS and its AI-powered Dynamic Ancillary Pricing solution, the airline aimed to optimize pricing by customer segment, route, and market while improving revenue and competitiveness.

PROS implemented Dynamic Ancillary Pricing in phases, integrating it with airBaltic’s merchandising engine and booking system to deliver real-time, AI-driven seat prices. After go-live and A/B testing, PROS helped airBaltic achieve a 6% increase in advanced seat reservation revenue per passenger, surpassing the original 2–3% target, while reducing manual pricing work to nearly zero.

airBaltic

Jolanta Rema

VP eCommerce and Commercial Distribution