American Airlines, Inc.

US Airways, Inc.

Daniel Muzich

Thomas Trenga

James Fox

Julianne Bowles

Jonathan Tracy

Marcial Lapp

Michael Costello

Randeep Ramamurthy

Yuxi Xiao

Julianne Anderson

Arthur Busse

A computer based system for remapping prime class seat bookings is disclosed. The system remaps prime class bookings a floor class, or if the floor class is closed, into a higher, displacement class. Via remapping, airline systems, such as inventory management systems, revenue management systems, and the like, may better account for the true value of prime class bookings.

Adjusting seat booking availability

A computer-based system for unobscuring and/or unconstraining demand is disclosed. Via use of the system, actual airline seat bookings may be restated in an unobscured and/or unconstrained form, facilitating improved demand forecasts for subsequent seat bookings. In this manner, seat protects may be better allocated to align with actual demand, thus increasing revenue.

Fare classes based on an unconstrained demand forecast

Determining an unobscured demand for a fare class

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

Fare classes with obscured demand

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 forecasting systems and methods utilizing prime class remapping

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

The system uses an unobscuring algorithm to determine dilution values and stimulation values. The system includes analysis methods and tools suitable for use in connection with yield management systems, inventory control systems, revenue management systems, and the like.

Unobscuring algorithm

Airline demand forecasting utilizing unobscuring and unconstraining

A computer based system for unobscuring and/or unconstraining demand is disclosed. Via use of the system, actual airline seat bookings may be restated in an unobscured and/or unconstrained form, facilitating improved demand forecasts for subsequent seat bookings. In this manner, seat protects may be better allocated to align with actual demand, thus increasing revenue.

Demand forecasting systems and methods utilizing unobscuring and unconstraining

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.

Growing community of inventors

Phoenix, AZ, United States of America

Daniel Muzich