American Airlines, Inc.

US Airways, Inc.

Marcial Lapp

James Fox

Daniel Muzich

Thomas Trenga

Randeep Ramamurthy

Julianne Bowles

Yuxi Xiao

Arthur Busse

Julianne Anderson

Systems and methods to generate predicted variances of an operation based on data from one or more connected databases.

Method to generate predicted variances of an operation based on data from one or more connected databases

In a computerized remapping system for airline seat bookings, actual airline seat bookings are restated in a remapped form reflecting the value of each leg of the booking from a network perspective, facilitating improved demand forecasts for subsequent seat bookings. In this manner, seat protects and seat pricing may be better allocated to align with actual demand.

Network value of a flight leg booking

The system determines even-spaced quantiles for network optimization. The system may utilize authorization level to expected network conversion. The system may be used in connection with yield management systems, inventory control systems, or revenue management systems.

Remapping of flight leg bookings

Demand class remapping for airline seat bookings

A computer based system for determining even-spaced quantiles using class authorization level values and network values. Determining a curve and a set of revised values, and remapping based on the revised values.

Determining even-spaced quantiles

Determining even-spaced quantiles for network optimization

A computer based system for maximizing revenue by determining an optimal quantity of a product to be sold is disclosed. The system determines the optimal number of seats to be sold for a flight based upon the flight's capacity and forecasted costs associated with the flight. The forecasting is based upon probabilistic distribution models takes into account passenger itinerary data, passenger and market historical data, whether a passenger has flown on a previous leg of an itinerary, the ripple denied boarding effect of reaccommodating a denied passenger. The system evaluates the potential effect of double selling a unit of inventory (e.g., seats). Downstream inventory control, revenue management and reservations systems may use the optimization data to affect the operation of the airline.

Overbooking and cost minimization methods and systems

A computer based system for maximizing revenue by determining an optimal quantity of a product to be sold is disclosed. The system determines the optimal number of seats to be sold for a flight based upon the flight's capacity and forecasted costs associated with the flight. The forecasting is based upon probabilistic distribution models and takes into account passenger itinerary data, passenger and market historical data, whether a passenger has flown on a previous leg of an itinerary, and the ripple denied boarding effect of reaccommodating a denied passenger. The system evaluates the potential effect of double selling a unit of inventory (e.g., seats). Downstream inventory control, revenue management and reservations systems may use the optimization data to affect the operation of the airline.

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Tempe, AZ, United States of America

Marcial Lapp