Patent Application Titled “Data Processing System With Machine Learning Engine To Provide Roadside Assistance Functions” Published Online (USPTO 20200250988)

2020 AUG 26 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- According to news reporting originating from Washington, D.C., by NewsRx journalists, a patent application by the inventors Bassett, Alicia (Northbrook, IL); Lieggi, Christopher J. (Schaumburg, IL); Balk, Chad Allen (Buffalo Grove, IL); Viane, Matthew (Chicago, IL), filed on April 24, 2020, was made available online on August 6, 2020.

The assignee for this patent application is Allstate Insurance Company (Northbrook, Illinois, United States).

Reporters obtained the following quote from the background information supplied by the inventors: “When a person is having an issue with a vehicle and needs assistance or service, time is of the essence. Even small steps taken to reduce wait time for a user and get the vehicle issue addressed more quickly can make a difference. Conventional roadside assistance systems rely on a roadside assistance associate who may be bound by a script including questions that must be asked in a particular order. The information may then be input into the system in the required order. However, this process can be inefficient and time consuming for the user.

“In addition, conventional systems rely on roadside assistance associates to identify and/or dispatch appropriate service providers to address the needs of the user. This is prone to error which can cause further delays.

“Accordingly, it would be advantageous to provide a system in which necessary information is captured in an efficient way and machine learning is used to evaluate roadside assistance requests and generate roadside assistance instructions.”

In addition to obtaining background information on this patent application, NewsRx editors also obtained the inventors’ summary information for this patent application: “The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosure. The summary is not an extensive overview of the disclosure. It is neither intended to identify key or critical elements of the disclosure nor to delineate the scope of the disclosure. The following summary merely presents some concepts of the disclosure in a simplified form as a prelude to the description below.

“Aspects of the disclosure relate to methods, computer-readable media, systems, and apparatuses for receiving requests for roadside assistance, generating user interfaces and using machine learning to generate roadside assistance instructions.

“In some examples, a request for roadside assistance may be received. In some arrangements, a user may be identified based on the request or information associated with the request. One or more partner entities associated with the user and/or the request may also be identified.

“In some examples, a profile associated with the user, partner or the like may be identified. A user interface may be generated based on the profile. In some examples, the user interface may be generated to include features (e.g., data, fields, or the like) unique to the profile, partner, or the like. In some arrangements, the interface may include a first portion and a second portion.

“In some arrangements, selection of an option from the first portion may cause the system to identify data for display in the second portion and cause the data to be displayed in the second portion. Machine learning may be used to determine or identify one or more roadside assistance instructions and a roadside assistance instruction may be generated and executed.

“These and other features and advantages of the disclosure will be apparent from the additional description provided herein.”

The claims supplied by the inventors are:

“1. A computing platform, comprising: a processing unit comprising a processor; and a memory unit storing computer-executable instructions, which when executed by the processing unit, cause the computing platform to: receive a request for roadside assistance; identify, based on data from the request for roadside assistance, a partner entity; identify, based on the identified partner entity, a profile of the partner entity; generate an interactive user interface based on the identified profile, the interactive user interface including a first portion and a second portion, the first portion including a plurality of selectable options, that are selectable in any order, for providing additional information related to the request for roadside assistance, the plurality of selectable options being generated based on the profile of the partner entity; receive selection of a first option of the plurality of selectable options in the first portion of the interactive user interface; identify, based on at least the first option, data for display in the second portion; cause the identified data for display in the second portion to be displayed in the second portion of the interactive user interface; generate, based on one or more machine learning datasets, a roadside assistance instruction; and execute the roadside assistance instruction.

“2. The computing platform of claim 1, wherein executing the roadside assistance instruction further includes dispatching a roadside assistance provider.

“3. The computing platform of claim 1, further including instructions that, when executed, cause the computing platform to: generate a first request for additional information; transmit the generated first request to a computing device; and receive response data in response to the transmitted first request.

“4. The computing platform of claim 1, further including instructions that, when executed, cause the computing platform to: identify a user associated with the request; and wherein the partner entity is further identified based on the identified user by selecting the partner entity from a plurality of partner entities associated with the user.

“5. The computing platform of claim 1, further including instructions that, when executed, cause the computing platform to: receive additional information related to the request for roadside assistance, wherein generating the roadside assistance instruction is further based on the additional information.

“6. The computing platform of claim 1, wherein the generated interactive user interface is unique to the profile.

“7. The computing platform of claim 6, wherein the generated interactive user interface includes fields unique to the profile.

“8. A method, comprising: at a computing platform comprising at least one processor, memory, and a communication interface: receiving, by the at least one processor and via the communication interface, a request for roadside assistance; identifying, by the at least one processor and based on data from the request for roadside assistance, a partner entity; identifying, by the at least one processor and based on the identified partner entity, a profile of the partner entity; generating, by the at least one processor, an interactive user interface based on the identified profile, the interactive user interface including a first portion and a second portion, the first portion including a plurality of selectable options, that are selectable in any order, for providing additional information related to the request for roadside assistance, the plurality of selectable options being generated based on the profile of the partner entity; receiving, by the at least one processor, selection of a first option of the plurality of selectable options in the first portion of the interactive user interface; identifying, by the at least one processor and based on at least the first option, data for display in the second portion; causing, by the at least one processor, the identified data for display in the second portion to be displayed in the second portion of the interactive user interface; generating, by the at least one processor and based on one or more machine learning datasets, a roadside assistance instruction; and executing, by the at least one processor, the roadside assistance instruction.

“9. The method of claim 8, wherein executing the roadside assistance instruction further includes dispatching a roadside assistance provider.

“10. The method of claim 8, further including: generating, by the at least one processor, a first request for additional information; transmitting, by the at least one processor and via the communication interface, the generated first request to a computing device; and receiving response data in response to the transmitted first request.

“11. The method of claim 8, further including: identifying, by the at least one processor, a user associated with the request; and wherein the partner entity is further identified based on the identified user by selecting the partner entity from a plurality of partner entities associated with the user.

“12. The method of claim 8, further including: receiving, by the at least one processor, additional information related to the request for roadside assistance, wherein generating the roadside assistance instruction is further based on the additional information.

“13. The method of claim 8, wherein the generated interactive user interface is unique to the profile.

“14. The method of claim 13, wherein the generated interactive user interface includes fields unique to the profile.

“15. One or more non-transitory computer-readable media storing instructions that, when executed by a computing platform comprising at least one processor, memory, and a communication interface, cause the computing platform to: receive a request for roadside assistance; identify, based on data from the request for roadside assistance, a partner entity; identify, based on the identified partner entity, a profile of the partner entity; generate an interactive user interface based on the identified profile, the interactive user interface including a first portion and a second portion, the first portion including a plurality of selectable options, that are selectable in any order, for providing additional information related to the request for roadside assistance, the plurality of selectable options being generated based on the profile of the partner entity; receive selection of a first option of the plurality of selectable options in the first portion of the interactive user interface; identify, based on at least the first option, data for display in the second portion; cause the identified data for display in the second portion to be displayed in the second portion of the interactive user interface; generate, based on one or more machine learning datasets, a roadside assistance instruction; and execute the roadside assistance instruction.

“16. The one or more non-transitory computer-readable media of claim 15, wherein executing the roadside assistance instruction further includes dispatching a roadside assistance provider.

“17. The one or more non-transitory computer-readable media of claim 15, further including instructions that, when executed, cause the computing platform to: generate a first request for additional information; transmit the generated first request to a computing device; and receiving response data in response to the transmitted first request.

“18. The one or more non-transitory computer-readable media of claim 15, further including instructions that, when executed, cause the computing platform to: identify a user associated with the request; and wherein the partner entity is further identified based on the identified user by selecting the partner entity from a plurality of partner entities associated with the user.

“19. The one or more non-transitory computer-readable media of claim 15, further including instructions that, when executed, cause the computing platform to: receive additional information related to the request for roadside assistance, wherein generating the roadside assistance instruction is further based on the additional information.

“20. The one or more non-transitory computer-readable media of claim 15, wherein the generated interactive user interface is unique to the profile and wherein the generated interactive user interface includes fields unique to the profile.”

For more information, see this patent application: Bassett, Alicia; Lieggi, Christopher J.; Balk, Chad Allen; Viane, Matthew. Data Processing System With Machine Learning Engine To Provide Roadside Assistance Functions. Filed April 24, 2020 and posted August 6, 2020. Patent URL: http://appft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=HITOFF&d=PG01&p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.html&r=1&f=G&l=50&s1=%2220200250988%22.PGNR.&OS=DN/20200250988&RS=DN/20200250988

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