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
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
Empowering eCommerce and Ancillary Teams
Real-Time Pricing
Ensure the most relevant pricing by evaluating ancillary shopping requests in real-time
Data-Driven Learning
Leverage the latest booking data to continuously enhance the AI models
Open and Modular Solution
Seamlessly integrate PROS Dynamic Ancillary Pricing with third party booking and merchandising platforms
Conversion Optimization
Perfect ancillary optimization strategies with A/B testing
Offer History
Keep track of the dynamically generated ancillary offers
Minimal Human Intervention
Liberate eCommerce and ancillary teams from time-consuming manual business rules management
Explore the rest of the PROS Platform
PROS Revenue Management
Leverage best-in-class forecasting and optimization