# US 11,308,561 B2 · System and method using third-party data to provide risk relationship adjustment recommendation based on upcoming life event > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,308,561 B2 - Document ID: US11308561B2 - Status: Granted - Kind: B2 - Application number: 16/722,998 - Filed: 2019-12-20 - Published: 2021-06-24 - Granted: 2022-04-19 - Earliest claimed: 2019-12-20 - Assignees: Hartford Fire Insurance Company - Applicants: Hartford Fire Insurance Company - Inventors: Jennifer Maia Amaral; Matthew Brown; Christopher J Gimpl - Web page: https://patentgrep.com/patent/US11308561B2 ## CPC - G06Q 40/08: Insurance - G06Q 10/0635: Risk analysis of enterprise or organisation activities - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR ## Abstract A system to provide a risk relationship life event analytical modeling platform via a back-end application computer server of an enterprise. The system may include a risk relationship data store that contains electronic records representing potential risk relationships between the enterprise and a plurality of entities. Each record may include an electronic record identifier, at least one third-party indication associated with an upcoming life event, and a communication address. The server may determine a selected potential risk relationship and retrieve, from the risk relationship data store, the electronic record associated with the selected potential risk relationship. An analytical model may be executed based on the upcoming life event to generate a risk relationship adjustment recommendation for the selected potential risk relationship. The server may then automatically transmit information about the risk relationship adjustment recommendation to the communication address. ## Claims ### Claim 1 A system to provide a risk relationship life event analytical modeling platform via a back-end application computer server of an enterprise, comprising: (a) a risk relationship data store containing electronic records that represent a plurality of potential risk relationships between the enterprise and a plurality of entities, wherein each electronic record includes an electronic record identifier, at least one third-party indication associated with an upcoming life event, and a communication address; (b) the back-end application computer server, coupled to the risk relationship data store, including: a computer processor, and a computer memory, coupled to the computer processor, storing instructions that, when executed by the computer processor, cause the back-end application computer server to: (i) determine a selected potential risk relationship between the enterprise and an entity, (ii) retrieve, from the risk relationship data store, the electronic record associated with the selected potential risk relationship, including the at least one third-party indication associated with an upcoming life event and a communication address, (iii) execute an analytical model based on the upcoming life event to generate a risk relationship adjustment recommendation for the selected potential risk relationship, (iv) determine an eligibility of the selected potential risk relationship to receive an additional communication about the risk relationship adjustment recommendation, (v) when it is determined the selected risk relationship is not eligible to receive the additional communication, automatically transmit standard information to the communication address while avoiding the transmission of the additional communication about the risk relationship adjustment recommendation thereby reducing electronic message traffic in a distributed communication network, and (vi) when it is determined the selected risk relationship is eligible to receive the additional communication, automatically transmit the standard information along with the additional communication including information about the risk relationship adjustment recommendation to the communication address; and (c) a communication port coupled to the back-end application computer server to facilitate a transmission of data with a remote device to support a graphical interactive user interface display via the distributed communication network, the interactive user interface display providing potential resource allocation data including the risk relationship adjustment recommendation. ### Claim 2 (depends on 1) The system of claim 1, wherein the analytical model further executes based on internal data of the enterprise. ### Claim 3 (depends on 2) The system of claim 2, wherein the analytical model is associated with at least one of: (I) employee segmentation, (ii) a product mixture based on employee segmentation, (iii) a cross-product sales offer, (iv) an up-sell product offer, (v) educational material. ### Claim 4 (depends on 2) The system of claim 2, wherein the analytical model is associated with at least one of: (i) a machine learning model created based on historical risk relationship information, (ii) a predictive model, (iii) supervised learning, (iv) unsupervised learning, (v) reinforcement learning, (vi) self-learning, (vii) feature learning, (viii) sparse dictionary learning, (ix) anomaly detection, (x) association rules, (xi) an artificial neural network, (xii) a decision tree, (xiii) a support vector machine, (xiv) a Bayesian network, (xv) a genetic algorithm, and (xvi) federated learning. ### Claim 5 (depends on 1) The system of claim 1, wherein the upcoming life event is associated with at least one of: (i) a birth, (ii) a change in marital status, (iii) an address change, (iv) a change in employment, and (v) an age change. ### Claim 6 (depends on 5) The system of claim 5, wherein the third-party data is associated with at least one of: (i) employer data, (ii) government records, (iii) insurance data, and (iv) a credit score provider. ### Claim 7 (depends on 1) The system of claim 1, wherein the risk relationship adjustment recommendation is associated with at least one of: (i) an optimum coverage selection, (ii) a cross-sell opportunity, (iii) a deductible change, (iv) a coverage change, and (v) a premium change. ### Claim 8 (depends on 1) The system of claim 1, wherein the communication address is associated with at least one of: (i) a postal address, (ii) an email address, (iii) a telephone number, (iv) a text message, (v) a chat interface, and (vi) a video communication link. ### Claim 9 (depends on 1) The system of claim 1, wherein the potential risk relationship is associated with at least one of: (i) an insurance group benefit offered by an employer, (ii) supplemental life insurance, (iii) short term disability insurance, (iv) long term disability insurance, (v) purchased time off, (vi) voluntary accident insurance, (vii) critical illness insurance, (viii) hospital indemnity insurance, (ix) a value added service, (x) legal services, and (xi) financial counseling services. ### Claim 10 A computerized method to provide a risk relationship life event analytical modeling platform via a back-end application computer server of an enterprise, comprising: determining, at a computer processor of the back-end application computer server, a selected potential risk relationship between the enterprise and an entity; retrieving, from a risk relationship data store, an electronic record associated with the selected potential risk relationship, including at least one third-party indication associated with an upcoming life event and a communication address, wherein the risk relationship data store contains electronic records that represent a plurality of potential risk relationships between the enterprise and a plurality of entities, each electronic record including an electronic record identifier, the at least one third-party indication associated with an upcoming life event, and a communication address; executing an analytical model based on the upcoming life event to generate a risk relationship adjustment recommendation for the selected potential risk relationship; determining an eligibility of the selected potential risk relationship to receive an additional communication about the risk relationship adjustment recommendation; when the selected risk relationship is not eligible to receive the additional communication, automatically transmitting standard information to the communication address while avoiding the transmission of the additional communication about the risk relationship adjustment recommendation thereby reducing electronic message traffic in a distributed communication network; and when the selected risk relationship is eligible to receive the additional communication, automatically transmitting the standard information along with the additional communication including information about the risk relationship adjustment recommendation to the communication address. ### Claim 11 (depends on 10) The method of claim 10, wherein the analytical model further executes based on internal data of the enterprise. ### Claim 12 (depends on 11) The method of claim 11, wherein the analytical model is associated with at least one of: (i) employee segmentation, (ii) a product mixture based on employee segmentation, (iii) a cross-product sales offer, (iv) an up-sell product offer, and (v) educational material. ### Claim 13 (depends on 11) The method of claim 11, wherein the analytical model is associated with at least one of: (i) a machine learning model created based on historical risk relationship information, (ii) a predictive model, (iii) supervised learning, (iv) unsupervised learning, (v) reinforcement learning, (vi) self-learning, (vii) feature learning, (viii) sparse dictionary learning, (ix) anomaly detection, (x) association rules, (xi) an artificial neural network, (xii) a decision tree, (xiii) a support vector machine, (xiv) a Bayesian network, (xv) a genetic algorithm, and (xvi) federated learning. ### Claim 14 (depends on 10) The method of claim 10, wherein the upcoming life event is associated with at least one of: (i) a birth, (ii) a change in marital status, (iii) an address change, (iv) a change in employment, and (v) an age change. ### Claim 15 (depends on 14) The method of claim 14, wherein the third-party data is associated with at least one of: (i) employer data, (ii) government records, (iii) insurance data, and (iv) a credit score provider. ### Claim 16 A non-tangible, computer-readable medium storing instructions, that, when executed by a processor, cause the processor to perform a method to provide a risk relationship life event analytical modeling platform via a back-end application computer server of an enterprise, the method comprising: determining, at a computer processor of the back-end application computer server, a selected potential risk relationship between the enterprise and an entity; retrieving, from a risk relationship data store, an electronic record associated with the selected potential risk relationship, including the at least one third-party indication associated with an upcoming life event and a communication address, wherein the risk relationship data store contains electronic records that represent a plurality of potential risk relationships between the enterprise and a plurality of entities, each electronic record including an electronic record identifier, at least one third-party indication associated with an upcoming life event, and a communication address; executing an analytical model based on the upcoming life event to generate a risk relationship adjustment recommendation for the selected potential risk relationship; determining an eligibility of the selected potential risk relationship to receive an additional communication about the risk relationship adjustment recommendation; when the selected risk relationship is not eligible to receive the additional communication, automatically transmitting standard information to the communication address while avoiding the transmission of the additional communication about the risk relationship adjustment recommendation thereby reducing electronic message traffic in a distributed communication network; and when the selected risk relationship is eligible to receive the additional communication, automatically transmitting the standard information along with the additional communication including information about the risk relationship adjustment recommendation to the communication address. ### Claim 17 (depends on 16) The medium of claim 16, wherein the analytical model further executes based on internal data of the enterprise. ### Claim 18 (depends on 16) The medium of claim 16, wherein the risk relationship adjustment recommendation is associated with at least one of: (i) an optimum coverage selection, (ii) a cross-sell opportunity, (iii) a deductible change, (iv) a coverage change, and (v) a premium change. ### Claim 19 (depends on 16) The medium of claim 16, wherein the communication address is associated with at least one of: (i) a postal address, (ii) an email address, (iii) a telephone number, (iv) a text message, (v) a chat interface, and (vi) a video communication link. ### Claim 20 (depends on 16) The medium of claim 16, wherein the potential risk relationship is associated with at least one of: (i) an insurance group benefit offered by an employer, (ii) supplemental life insurance, (iii) short term disability insurance, (iv) long term disability insurance, (v) purchased time off, (vi) voluntary accident insurance, (vii) critical illness insurance, (viii) hospital indemnity insurance, (ix) a value added service, (x) legal services, and (xi) financial counseling services.