US 2021/0264497 A1 · METHODS AND SYSTEMS FOR AGGREGATE CONSUMER-BEHAVIOR SIMULATION AND PREDICTION BASED ON AUTOMATED FLIGHT-RECOMMENDATION-AND-BOOKING SYSTEMS

Abstract

The current document is directed to methods and systems, including an automated flight-recommendation-and-booking system that provide accurate, short lists of flights that best match a user's preferences and flight parameters specified by the user. In addition, the automated flight-recommendation-and-booking system learns, over time, to provide the most desirable flights to each user. The currently disclosed systems continuously monitor and store detailed information with regard to users' interactions with the systems, flight information, and other types of information that can be used to more accurately identify suitable flights for particular users. Furthermore, the currently disclosed systems continuously store information about user interactions as well as information about airlines, flights offered by airlines, and other types of information relevant to air travel in order to be able to subsequently find and present information about flights that closely match each user's preferences and flight parameters. The stored information, and additional information inferred by analyzing the stored information, can be used, by the currently disclosed systems, to model, simulate, and predict future behavior of airline customers, including the responses of airline customers to newly provided flights, price changes, addition of services and amenities, and other such changes. This, in turn, allows airlines and business analysts to rationally plan and develop new and improved business opportunities.

Claims20

Dependent claims

An automated flight-recommendation-and-booking system comprising:

one or more computers within a cloud-computing facility, data center, or one or more Internet-connected servers, each having one or more processors and one or memories;
one or more data-storage devices and/or data-storage appliances:
stored information about users, user preferences, flights, attributes, and other information relevant to air travel that is stored in one or more of the one or more data-storage devices and/or appliances;
and
computer instructions, stored in one or more of the one or more memories, one or more data-storage devices, and data-storage appliances that, when executed by one or more of the one or more processors, control the automated flight-recommendation-and-booking system to
continuously monitor sources of information relevant to air travel to identify information for updating the stored information,
receive user requests for flight recommendations,
in response to each received user request for flight recommendations,
identify and return information about a small number of flights that best match a user's preferences,
receive flight-booking requests,
in response to each received flight-booking requests,
book a flight on behalf of a user,
update the stored information to accurately reflect the user's preferences, generate models for users' preferences and travel-decision-making processes, and
use the generated models to predict aggregate user responses to hypothetical market scenarios.

11 more elements

A method that predicts aggregate user responses to hypothetical commercial-flight market scenarios, the method comprising:

obtaining a general observed data set from an automated flight-recommendation-and-booking system;
generating models for users' preferences and travel-decision-making processes;
and
using the generated models to predict aggregate user responses to hypothetical market scenarios.

1 more element

Dependencies are inferred from the claim text.

Methods and systems for aggregate consumer-behavior simulation and prediction based on automated flight-recommendation-and-booking systems

Life of this patent

Methods and systems for aggregate consumer-behavior simulation and prediction based on automated flight-recommendation-and-booking systems

Life of this patent

Abstract

Claims20