Industry Differentiators
Persona One
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Persona Two
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Persona Three
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Demand Forecasting
- Data-driven customer segmentation
- Passenger demand forecasting
- Group forecasting
Price Optimization
- Real-time & dynamic Pricing
- Competitive price optimization
- Segment-level elasticity
Context-Based Dynamic Offers
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Network Planning
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Case Study: Context-Based Dynamic Offers
US-Based Global Airline
The Challenge
Passenger Airline seeks dynamic offers and product bundling capability that optimizes across the customer experience
- Existing Airline retailing solutions focus on Processes, leaving gaps in content optimization
- Airlines struggle to create the right rules to instruct offer creation and price adjustments
- Instead of a holistic offer optimization, this platform still inherits the suboptimal philosophy that optimizes pricing, availability, ancillary products separately
The Solution
Delivering a holistic approach to dynamic offers, our team provides three analytical capabilities
- Offer Generation - Customer selection of flight seat and other amenities, as well as additional travel products
- Ancillary Bundling - Addition of ancillary products, including upgraded access and products, additional bags, and meals to customize the travel experience
- Dynamic Pricing - Based on selected travel offers and ancillary products, an optimal price is calculated
The Outcome
Dynamic Offers allow airlines to present a preferred bundle of products according to the context of the customer’s trip at a price they’ll accept
- Implementation of approach results in an industry-first dynamic bundling capability
- An additional $1M annually is driven by implemented design