公开(公告)号：US20130132132A1

公开(公告)日：2013-05-23

申请号：US13352757

申请日：2012-01-18

Applicant: James Fox ,  Randeep Ramamurthy ,  Julianne Anderson ,  Arthur Busse ,  Marcial Lapp ,  Daniel Muzich ,  Thomas Trenga

Inventor： James Fox ,  Randeep Ramamurthy ,  Julianne Anderson ,  Arthur Busse ,  Marcial Lapp ,  Daniel Muzich ,  Thomas Trenga

IPC: G06Q10/02

CPC classification number: G06Q10/02 ,  G06Q10/0631 ,  G06Q30/0202

Abstract: 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.

Abstract translation: 公开了一种基于计算机的系统，用于通过确定要销售的产品的最佳数量来最大化收入。 该系统根据飞行的能力和与飞行相关的预测成本确定要飞行的最佳座位数。 预测是基于概率分布模型，考虑乘客行程数据，乘客和市场历史数据，乘客是否在前一行程中飞行，否则拒绝乘客拒绝登机效果。 系统评估双重销售库存单位（例如座位）的潜在影响。 下游库存控制，收入管理和预订系统可能会使用优化数据来影响航空公司的运作。

公开(公告)号：US20130132129A1

公开(公告)日：2013-05-23

申请号：US13352628

申请日：2012-01-18

Applicant: James Fox ,  Randeep Ramamurthy ,  Julianne Anderson ,  Arthur Busse ,  Marcial Lapp ,  Daniel Muzich ,  Thomas Trenga

Inventor： James Fox ,  Randeep Ramamurthy ,  Julianne Anderson ,  Arthur Busse ,  Marcial Lapp ,  Daniel Muzich ,  Thomas Trenga

IPC: G06Q10/04 ,  G06Q10/02

CPC classification number: G06Q10/02 ,  G06Q10/0631 ,  G06Q30/0202

Abstract: 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.

Abstract translation: 公开了一种基于计算机的系统，用于通过确定要销售的产品的最佳数量来最大化收入。 该系统根据飞行的能力和与飞行相关的预测成本确定要飞行的最佳座位数。 预测是基于概率分布模型，考虑乘客行程数据，乘客和市场历史数据，乘客是否在前一行程中飞行，否则拒绝乘客拒绝登机效果。 系统评估双重销售库存单位（例如座位）的潜在影响。 下游库存控制，收入管理和预订系统可能会使用优化数据来影响航空公司的运作。

公开(公告)号：US08600787B2

公开(公告)日：2013-12-03

申请号：US13352667

申请日：2012-01-18

Applicant: James Fox ,  Randeep Ramamurthy ,  Julianne Anderson ,  Arthur Busse ,  Marcial Lapp ,  Daniel Muzich ,  Thomas Trenga

Inventor： James Fox ,  Randeep Ramamurthy ,  Julianne Anderson ,  Arthur Busse ,  Marcial Lapp ,  Daniel Muzich ,  Thomas Trenga

IPC: G06Q10/00 ,  G06Q50/00

CPC classification number: G06Q10/02 ,  G06Q10/0631 ,  G06Q30/0202

Abstract: 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.

Abstract translation: 公开了一种基于计算机的系统，用于通过确定要销售的产品的最佳数量来最大化收入。 该系统根据飞行的能力和与飞行相关的预测成本确定要飞行的最佳座位数。 预测是基于概率分布模型，并考虑乘客行程数据，乘客和市场历史数据，乘客是否在前一行程中飞行，以及重新安置被拒绝乘客的波纹否定登机效应。 系统评估双重销售库存单位（例如座位）的潜在影响。 下游库存控制，收入管理和预订系统可能会使用优化数据来影响航空公司的运作。

公开(公告)号：US20130132130A1

公开(公告)日：2013-05-23

申请号：US13352667

申请日：2012-01-18

Applicant: James Fox ,  Randeep Ramamurthy ,  Julianne Anderson ,  Arthur Busse ,  Marcial Lapp ,  Daniel Muzich ,  Thomas Trenga

Inventor： James Fox ,  Randeep Ramamurthy ,  Julianne Anderson ,  Arthur Busse ,  Marcial Lapp ,  Daniel Muzich ,  Thomas Trenga

IPC: G06Q10/02

CPC classification number: G06Q10/02 ,  G06Q10/0631 ,  G06Q30/0202

Abstract: 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.

Abstract translation: 公开了一种基于计算机的系统，用于通过确定要销售的产品的最佳数量来最大化收入。 该系统根据飞行的能力和与飞行相关的预测成本确定要飞行的最佳座位数。 预测是基于概率分布模型，考虑乘客行程数据，乘客和市场历史数据，乘客是否在前一行程中飞行，否则拒绝乘客拒绝登机效果。 系统评估双重销售库存单位（例如座位）的潜在影响，下游库存控制，收入管理和预订系统可能会使用优化数据来影响航空公司的运营。

公开(公告)号：US08645173B2

公开(公告)日：2014-02-04

申请号：US13352757

申请日：2012-01-18

Applicant: James Fox ,  Randeep Ramamurthy ,  Julianne Anderson ,  Arthur Busse ,  Marcial Lapp ,  Daniel Muzich ,  Thomas Trenga

Inventor： James Fox ,  Randeep Ramamurthy ,  Julianne Anderson ,  Arthur Busse ,  Marcial Lapp ,  Daniel Muzich ,  Thomas Trenga

IPC: G06Q10/00 ,  G06Q50/00

CPC classification number: G06Q10/02 ,  G06Q10/0631 ,  G06Q30/0202

Abstract: 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.

Abstract translation: 公开了一种基于计算机的系统，用于通过确定要销售的产品的最佳数量来最大化收入。 该系统根据飞行的能力和与飞行相关的预测成本确定要飞行的最佳座位数。 预测是基于概率分布模型，考虑乘客行程数据，乘客和市场历史数据，乘客是否在前一行程中飞行，否则拒绝乘客拒绝登机效果。 系统评估双重销售库存单位（例如座位）的潜在影响。 下游库存控制，收入管理和预订系统可能会使用优化数据来影响航空公司的运作。

公开(公告)号：US20130132131A1

公开(公告)日：2013-05-23

申请号：US13352719

申请日：2012-01-18

Applicant: James Fox ,  Randeep Ramamurthy ,  Julianne Anderson ,  Arthur Busse ,  Marcial Lapp ,  Daniel Muzich ,  Thomas Trenga

Inventor： James Fox ,  Randeep Ramamurthy ,  Julianne Anderson ,  Arthur Busse ,  Marcial Lapp ,  Daniel Muzich ,  Thomas Trenga

IPC: G06Q10/02

CPC classification number: G06Q10/02 ,  G06Q10/0631 ,  G06Q30/0202

Abstract: 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.

Abstract translation: 公开了一种基于计算机的系统，用于通过确定要销售的产品的最佳数量来最大化收入。 该系统根据飞行的能力和与飞行相关的预测成本确定要飞行的最佳座位数。 预测是基于概率分布模型，考虑乘客行程数据，乘客和市场历史数据，乘客是否在前一行程中飞行，否则拒绝乘客拒绝登机效果。 系统评估双重销售库存单位（例如座位）的潜在影响。 下游库存控制，收入管理和预订系统可能会使用优化数据来影响航空公司的运作。

公开(公告)号：US20130132128A1

公开(公告)日：2013-05-23

申请号：US13348417

申请日：2012-01-11

Applicant: James Fox ,  Randeep Ramamurthy ,  Julianne Anderson ,  Arthur Busse ,  Marcial Lapp ,  Daniel Muzich ,  Thomas Trenga

Inventor： James Fox ,  Randeep Ramamurthy ,  Julianne Anderson ,  Arthur Busse ,  Marcial Lapp ,  Daniel Muzich ,  Thomas Trenga

IPC: G06Q10/04

CPC classification number: G06Q10/02 ,  G06Q10/0631 ,  G06Q30/0202

Abstract: 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.

Abstract translation: 公开了一种基于计算机的系统，用于通过确定要销售的产品的最佳数量来最大化收入。 该系统根据飞行的能力和与飞行相关的预测成本确定要飞行的最佳座位数。 预测是基于概率分布模型，考虑乘客行程数据，乘客和市场历史数据，乘客是否在前一行程中飞行，否则拒绝乘客拒绝登机效果。 系统评估双重销售库存单位（例如座位）的潜在影响。 下游库存控制，收入管理和预订系统可能会使用优化数据来影响航空公司的运作。