Facts

• 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

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