Deliver revenue-optimal prices that match customer willingness-to-pay and maximize ancillary spend
Leverage AI to tailor ancillary pricing to different customer segments
Eliminate pricing errors that lead to suboptimal ancillary revenue generation
Automate complex pricing rules, reduce manual work, and increase productivity
Use AI to Boost Your Ancillary Optimization Strategy
Customer Segmentation
Customer segmentation drives the recommendation of ancillary prices by considering a set of customer characteristics and trip related attributes
Reinforcement Learning
Convergence to optimal prices is ensured by the continuous learning cycle which updates the models based upon win/lose information for the offered ancillaries
Efficient Exploration
The AI models scientifically and systematically explore the price range to determine optimal price for customer segment while minimizing impact from exploration
Check out the demo video and see how airBaltic utilizes PROS AI-powered Dynamic Ancillary Pricing solution to price seats in real-time on airBaltic.com.
Drive Quick Time-to-Value and Significant Incremental Revenue
Up to 6%
Revenue Lift
6-10 Weeks
For Go-live
0 Rules
No User-Based Strategies
“We observed 6% ASR revenue increase per passenger after the implementation of PROS Dynamic Ancillary Pricing solution.”
Jolanta Rema, VP eCommerce and Commercial Distribution, airBaltic
Watch this video to learn how airBaltic implemented PROS Dynamic Ancillary Pricing solution to drive revenue and improve customer digital experience, and what results they achieved.
For a more in-depth dive into airBaltic’s journey with PROS, read their customer success story.