System and method for automatic review of travel changes and improved suggestions and rules set

Abstract

In one embodiment, a method that can be performed on a system, is provided for automatic review of travel changes and improved suggestions and rules set. In one embodiment, the method comprises generating an aggregate of travel history data based on one or more travelers, the data including changes made to travel selections of an itinerary following an initial purchase of the travel selections; receiving a request for travel options in relation to a requested travel itinerary; and generating a first set of travel options for the requested travel itinerary, based at least in part on the aggregate of travel history data, the first set of travel options to result in a cost lower than a second set of travel options, if changes are made to selected travel options of the requested travel itinerary following an initial purchase of the selected travel options.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is related to U.S. patent application Ser. No. 11/112,376, Filed Apr. 21, 2005, entitled, “Aggregate Collection Of Travel Data”, U.S. patent application Ser. No. 11/178,007, filed Jul. 31, 2005, entitled, “System for Travel Services Resource” U.S. patent application Ser. No. 11/240,739, Filed Sep. 30, 2005, entitled “Method And System For Capturing And Calculating Complex Consumer Ratings Of Goods And Services” and U.S. patent application Ser. No. 11/240,740, filed Sep. 30, 2005 entitled: “Method And System For Testing Of Policies To Determine Cost Savings”, all of which are incorporated herein by reference.

BACKGROUND OF THE INVENTION

People often make travel bookings according to a pre-determined set of rules, or according to their accustomed travel arrangements. However, certain types of bookings may often result in costly changes at the last minute. It may be that booking different types travel arrangements, for example, in a different travel class with no change penalty, may be a wiser choice for certain bookings, such as, for example, bookings for travel and accommodations for a convention or for a customer meeting that may often require last-minute changes.

What is clearly needed is a system, method and apparatus for tracking booking behavior patterns of travelers, and, based on historical aggregate data and internal and external events, for suggesting better booking methods for initial bookings, resulting in a lower average over-all cost.

SUMMARY

In one embodiment, a method that can be performed on a system is provided for automatic review of travel changes and improved suggestions and rules set. In one embodiment, the method comprises generating an aggregate of travel history data based on one or more travelers, the data including changes made to travel selections of an itinerary following an initial purchase of the travel selections; receiving a request for travel options in relation to a requested travel itinerary; and generating a first set of travel options for the requested travel itinerary, based at least in part on the aggregate of travel history data, the first set of travel options to result in a cost lower than a second set of travel options, if changes are made to selected travel options of the requested travel itinerary following an initial purchase of the selected travel options.

BRIEF DESCRIPTION OF FIGURES

FIG. 1 shows an overview of a system according to one embodiment; and

FIG. 2 shows an exemplary process for implementation of the system according to one embodiment.

DETAILED DESCRIPTION

In the following detailed description of embodiments of the invention, reference is made to the accompanying drawings in which like references indicate similar elements, and in which is shown by way of illustration specific embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention, and it is to be understood that other embodiments may be utilized and that logical, mechanical, electrical, functional, and other changes may be made without departing from the scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined only by the appended claims.

FIG. 1 shows an overview of a system 100 according to the present invention. An electronic services system 101 has a server 102 that hosts a software instance 103 and has access to a data repository or database 104. It is clear that this simplified depiction shows only elements of interest pertaining to the present invention, and that all these elements may be part of a much larger system. Also shown is a connection of electronic services system 101 to the Internet 110, to which users 130a-n and vendors 120a-n are also connected. It is clear that in some cases the users and/or vendors may be connected to services system 101 directly, or through a private network or VPN or some other type of network connection without departing from the spirit of the invention.

FIG. 2 shows an exemplary process 200 for implementation of the system according to one embodiment of the present invention. In step 201 a user makes an initial booking, in some cases based on recommendations by the system, which recommendations are stored in database 104. It will be discussed later how these recommendations are generated, but in essence they are based on the rules that apply for this individual user, with some variations as discussed below. In step 202, an event monitor 207 monitors events relevant to the traveler's plans, including events in the traveler's own agenda and schedules within his company, external events along his travel route and at his accommodations (in all the cities and countries that are included in the travel route), and also events at partner companies that he is visiting. Based on those events, in step 203, the user may need to make changes in his bookings. The correlation between the changes and the monitored events are stored in database 104, as well as the changes themselves.

After the traveler returns from his trip, in step 204, the system does a post-travel analysis to determine whether some of the penalties and fees invoked by travel changes could have been avoided or lowered had different types of bookings been made. These analysis results are also stored in database 104. In step 205, the system makes a fine-tuning of rules and suggestions, based on the historic aggregate of relevant travels of both this user and other users who followed the same route, and in step 206, the process ends. For example, a large event at a target location may have led to cancellations or changes in hotel reservations or overbooking of flights, and therefore to unacceptable delays or problems in users' travel plans. Thus the system may determine that the traveler should have initially purchased an unrestricted ticket, allowing him to avoid change penalties, etc.

It is clear that many modifications and variations of this embodiment may be made by one skilled in the art without departing from the spirit of the novel art of this disclosure.

In some cases, a novel aspect of the software system includes attributes for a trip that the electronic services system would look at for both new and historical trips. Some example attributes of a trip could include the following: reason for trip (e.g., sales call, maintenance call, industry conference, internal meeting, etc.), specific parties involved in the trip (e.g., customer A, internal colleague B, industry conference C, etc.), specific location (e.g., a given city, convention center, or a property of a city such as being a European city or an Asian city), timing (e.g., time of year, the fact that the trip is on a Monday or Friday, proximity to a major holiday, etc.), proximity to other activities on a user's calendar (e.g., do other meetings in different cities tightly adjacent introduce additional travel change risk, do tentative, conflicting meetings on the user's calendar make a change more likely), user-defined priority of the event (e.g., the user could state that this is a Tier 1 customer or a Tier 2 customer, which could inform whether the trip is likely to change), and other attributes of the trip, both defined by the user and derived from the attributes of the proposed and past trips.

Additionally, in yet other cases, the system could offer a display of the same booking with different rate/restriction combinations. For example, a hotel room may be available at a given hotel with three options. Option A might have a large penalty for change and a pre-payment requirement, option B might have only a penalty if not cancelled 24 hours ahead, but a higher per night rate, and option C might have a slightly higher rate, but include amenities such as parking, breakfast, and Internet access. In these cases, a novel part of the system would be a display that shows a specific hotel with multiple booking options all in a tightly integrated display.

The processes described above can be stored in a memory of a computer system as a set of instructions to be executed. In addition, the instructions to perform the processes described above could alternatively be stored on other forms of machine-readable media, including magnetic and optical disks. For example, the processes described could be stored on machine-readable media, such as magnetic disks or optical disks, which are accessible via a disk drive (or computer-readable medium drive). Further, the instructions can be downloaded into a computing device over a data network in a form of compiled and linked version.

Alternatively, the logic to perform the processes as discussed above could be implemented in additional computer and/or machine readable media, such as discrete hardware components as large-scale integrated circuits (LSI's), application-specific integrated circuits (ASIC's), and firmware such as electrically erasable programmable read-only memory (EEPROM's).

Claims

1. A method comprising: generating, via a computer system, an aggregate of travel history data based on one or more travelers, the data including changes made to travel selections of an itinerary following an initial purchase of the travel selections;receiving a request for travel options in relation to a requested travel itinerary; andgenerating a first set of travel options for the requested travel itinerary based on a determination using the aggregate of travel history data that changes made to selected travel options of the requested travel itinerary following an initial purchase of the selected travel options cause the first set of travel options to result in a cost lower than a second set of travel options;wherein the generating the first set of travel options further comprises generating the first set of travel options based, at least in part, on one or more external events occurring along a travel route or at an accommodation of the requested travel itinerary.

2. The method of claim 1, wherein the aggregate of travel history data includes travel history data for a traveler of the requested travel itinerary.

3. The method of claim 1, wherein the generating the aggregate of travel history data further comprises performing a post travel analysis to determine whether one of penalties or fees invoked by travel changes could have been less had separate selected travel options been purchased.

4. The method of claim 1, wherein the generating the first set of travel options further comprises generating the first set of travel options based, at least in part, on one or more events comprising events related to a schedule of a traveler during the requested travel itinerary, events related to a first entity, events related to scheduled destinations of the requested itinerary, and events related to a second entity.

5. The method of claim 4, wherein the generating the first set of travel options is based at least in part on events related to the first entity, and the first entity is an employer of the traveler having requested the first set of travel options.

6. The method of claim 4, wherein the generating the first set of travel options is based at least in part on events related to the second entity, and the second entity is an entity located at a destination of the requested travel itinerary.

7. The method of claim 6, wherein the traveler has a scheduled meeting with the second entity during the requested travel itinerary.

8. The method of claim 1, wherein the generating the first set of travel options is further based on a set of one or more attributes comprising an identified purpose of the travel, identified individuals related to the travel, an origin or destination of the travel, a time period of the travel, and a calendar of a traveler of the requested itinerary.

9. The method of claim 1, wherein the first set of travel options includes multiple sets of rate and restrictions for one of the travel options of the first set of travel options.

10. A non-transitory machine readable medium having stored thereon a set of instructions which when executed perform a method comprising: generating an aggregate of travel history data based on one or more travelers, the data including changes made to travel selections of an itinerary following an initial purchase of the travel selections;receiving a request for travel options in relation to a requested travel itinerary; andgenerating a first set of travel options for the requested travel itinerary based on a determination using the aggregate of travel history data that changes made to selected travel options of the requested travel itinerary following an initial purchase of the selected travel options cause the first set of travel options to result in a cost lower than a second set of travel options.

11. The machine readable medium of claim 10, wherein the aggregate of travel history data includes travel history data for a traveler of the requested travel itinerary.

12. The machine readable medium of claim 10, wherein the generating the aggregate of travel history data further comprises performing a post travel analysis to determine whether one of penalties or fees invoked by travel changes could have been less had separate selected travel options been purchased.

13. The machine readable medium of claim 10, wherein the generating the first set of travel options further comprises generating the first set of travel options based, at least in part, on one or more events related to the requested travel itinerary.

14. The machine readable medium of claim 10, wherein the generating the first set of travel options further comprises generating the first set of travel options based, at least in part, on one or more of events comprising events related to a schedule of a traveler during the requested travel itinerary, events related to a first entity, events related to scheduled destinations of the requested itinerary, and events related to a second entity.

15. The machine readable medium of claim 14, wherein the generating the first set of travel options is based at least in part on events related to the first entity, and the first entity is an employer of the traveler having requested the first set of travel options.

16. The machine readable medium of claim 14, wherein the generating the first set of travel options is based at least in part on events related to the second entity, and the second entity is an entity located at a destination of the requested travel itinerary.

17. The machine readable medium of claim 16, wherein the traveler has a scheduled meeting with the second entity during the requested travel itinerary.

18. The machine readable medium of claim 10, wherein the generating the first set of travel options is further based on a set of one or more attributes comprising an identified purpose of the travel, identified individuals related to the travel, an origin or destination of the travel, a time period of the travel, and a calendar of a traveler of the requested itinerary.

19. The machine readable medium of claim 10, wherein the first set of travel options includes multiple sets of rates and restrictions for one of the travel options of the first set of travel options.