# US 2022/0036475 A1 · System to predict impact of existing risk relationship adjustments > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2022/0036475 A1 - Document ID: US20220036475A1 - Status: Published application - Kind: A1 - Application number: 17/503,956 - Filed: 2021-10-18 - Published: 2022-02-03 - Earliest claimed: 2018-02-21 - Assignees: Hartford Fire Insurance Company - Applicants: Hartford Fire Insurance Company - Inventors: Lane Garrison Coonrod; Jeffery T. Hay; Michael R. Gittings - Web page: https://patentgrep.com/patent/US20220036475A1 ## CPC - G06Q 40/08: Insurance - 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 According to some embodiments, an existing risk relationship data store may contain electronic records, each electronic record including a risk relationship identifier and a risk relationship characteristic for an existing risk relationship between the enterprise and an entity. A prediction platform may receive electronic records associated with a set of existing risk relationships along with an indication of a future adjustment to a parameter associated with the set of existing risk relationships. The prediction platform may then automatically calculate a projected future impact to a key metric for the set of existing risk relationships based on the future adjustment to the parameter. A rendering platform may receive the projected future impact to the key metric and present an interactive graphical user interface, including an indication of projected future impact, to an administrator. ## Claims ### Claim 1 A system associated with an insurer, comprising: an existing insurance policy data store containing electronic records, each electronic record including an insurance policy identifier and a risk relationship characteristic for an existing insurance policy between the insurer and an insured; a prediction platform, coupled to the existing insurance policy data store, including: computer processor, and a computer memory coupled to the computer processor and storing instructions that, when executed by the computer processor, cause the prediction platform to: train a predictive model using data records of historical claim transactions and information about policy renewal events, train the predictive model with some current claims data such that the predictive model adapts itself to changing event impacts and damage amounts, use feedback to improve performance of the predictive model, receive electronic records associated with a set of existing insurance policies, receive an indication of a future premium change associated with the set of existing insurance policies, automatically calculate a projected future impact to an issue rate for the set of existing insurance policies based on the future premium change, automatically calculate a projected future impact to telephone call volume based on the future premium change to help allocate telephone call center resources and improve the performance of the system, and generate and transmit a graph reflecting predicted telephone call center volume following the future premium change; and a rendering platform, coupled to the prediction platform, to receive the projected future impact to the issue rate and present an interactive graphical user interface, including an indication of projected future impact, to an administrator, wherein the user interface graphically displays: (i) a quote count, (ii) a pre-actual marker, (iii) a post-actual marker, and (iv) a post-estimate marker, wherein the rending platform receives user-selectable filter information, including a map level filter and a cohort filter, and transmits information in accordance with the filter information to present the interactive graphical user interface without transmitting information not in accordance with the filter information, thereby reducing a number of electronic messages that are transmitted and improving operation of the system. ### Claim 2 (depends on 1) The system of claim 1, wherein the automatically calculated projected future impact to the issue rate is further based on geographic locations of the existing insurance policies. ### Claim 3 (depends on 1) The system of claim 1, wherein the prediction platform is associated with at least one of: (i) a spreadsheet application, and (ii) a web-based tool. ### Claim 4 (depends on 1) The system of claim 1, wherein the interactive graphical user interface displays, for each of a plurality of years: (i) a currently projected issue rate value, (ii) a proposed projected issue rate value, and (iii) a percentage change between the currently projected issue rate value and the proposed projected issue rate value. ### Claim 5 (depends on 1) The system of claim 1, wherein the user interface displays insurance policy renewal telephone call values and insurance policy non-renewal telephone call values. ### Claim 6 (depends on 1) The system of claim 1, wherein the user interface displays telephone call rates associated with a range of insurance premium changes. ### Claim 7 (depends on 1) The system of claim 1, wherein the user interface displays a total call volume associated with a range of insurance policy dates. ### Claim 8 (depends on 1) The system of claim 1, wherein the prediction platform further receives an indication of a future adjustment to at least one of: (i) organization membership status, (ii) an organization membership year count, (iii) an account credit, (iv) advance quote days, (v) an at fault accident count, (vi) a business insurance limit, (vii) a comparative rater indicator, (viii) a coverage package, (ix) a driver count, and (x) a home owner credit. ### Claim 9 (depends on 1) The system of claim 1, wherein the user interface displays a mapping image of the projected future impact to the issue rate. ### Claim 10 A computerized method associated with a system operated by an insurer, comprising: training a predictive model using data records of historical claim transactions and information about policy renewal events, training the predictive model with some current claims data such that the predictive model adapts itself to changing event impacts and damage amounts; using feedback to improve performance of the predictive model; receiving, at a computer processor of prediction platform from an existing insurance policy data store, electronic records, each electronic record including an insurance policy identifier and a risk relationship characteristic for an existing insurance policy between the insurer and an insured, said electronic records associated with a set of existing insurance policies; receiving an indication of a future premium change associated with the set of existing insurance policies; automatically calculating a projected future impact to an issue rate for the set of existing insurance policies based on the future premium change; automatically calculating a projected future impact to telephone call center volume based on the future premium change to help allocate telephone call center resources and improve performance of the system; presenting, by a rendering platform, an interactive graphical user interface, including an indication of projected future impact, to an administrator, wherein the user interface graphically displays: (i) a quote count, (ii) a pre-actual marker, (iii) a post-actual marker, and (iv) a post-estimate marker, wherein the rending platform receives user-selectable filter information, including a map level filter and a cohort filter, and transmits information in accordance with the filter information to present the interactive graphical user interface without transmitting information not in accordance with the filter information, thereby reducing a number of electronic messages that are transmitted and improving operation of the system; and generating and transmitting a graph reflecting predicted telephone call center volume following the future premium change. ### Claim 11 (depends on 10) The method of claim 10, wherein the automatically calculated projected future impact to the issue rate is further based on geographic locations of the existing insurance policies. ### Claim 12 (depends on 10) The method of claim 10, wherein the prediction platform is associated with at least one of: (i) a spreadsheet application, and (ii) a web-based tool. ### Claim 13 (depends on 10) The method of claim 10, wherein the interactive graphical user interface displays, for each of a plurality of years: (i) a currently projected issue rate value, (ii) a proposed projected issue rate value, and (iii) a percentage change between the currently projected issue rate value and the proposed projected issue rate value. ### Claim 14 (depends on 10) The method of claim 10, wherein the user interface displays insurance policy renewal telephone call values and insurance policy non-renewal telephone call values. ### Claim 15 (depends on 10) The method of claim 10, wherein the user interface displays telephone call rates associated with a range of insurance premium changes. ### Claim 16 (depends on 10) The method of claim 10, wherein the user interface displays a total call volume associated with a range of insurance policy dates. ### Claim 17 (depends on 10) The method of claim 10, wherein the prediction platform further receives an indication of a future adjustment to at least one of: (i) organization membership status, (ii) an organization membership year count, (iii) an account credit, (iv) advance quote days, (v) an at fault accident count, (vi) a business insurance limit, (vii) a comparative rater indicator, (viii) a coverage package, (ix) a driver count, and (x) a home owner credit. ### Claim 18 (depends on 10) The method of claim 10, wherein the user interface displays a mapping image of the projected future impact to the issue rate. ### Claim 19 A non-transitory, computer-readable medium storing instructions, that, when executed by a processor, cause the processor to perform a method associated with a system operated by an insurer, the method comprising: training a predictive model using data records of historical claim transactions and information about policy renewal events, training the predictive model with some current claims data such that the predictive model adapts itself to changing event impacts and damage amounts; using feedback to improve performance of the predictive model; receiving, at a computer processor of prediction platform from an existing insurance policy data store, electronic records, each electronic record including an insurance policy identifier and a risk relationship characteristic for an existing insurance policy between the insurer and an insured, said electronic records associated with a set of existing insurance policies; receiving an indication of a future premium change associated with the set of existing insurance policies; automatically calculating a projected future impact to an issue rate for the set of existing insurance policies based on the future premium change; automatically calculating a projected future impact to telephone call center volume based on the future premium change to help allocate telephone call center resources and improve performance of the system; presenting, by a rendering platform, an interactive graphical user interface, including an indication of projected future impact, to an administrator, wherein the user interface graphically displays: (i) a quote count, (ii) a pre-actual marker, (iii) a post-actual marker, and (iv) a post-estimate marker, wherein the rending platform receives user-selectable filter information, including a map level filter and a cohort filter, and transmits information in accordance with the filter information to present the interactive graphical user interface without transmitting information not in accordance with the filter information, thereby reducing a number of electronic messages that are transmitted and improving operation of the system; and generating and transmitting a graph reflecting predicted telephone call center volume following the future premium change. ### Claim 20 (depends on 19) The medium of claim 19, wherein the automatically calculated projected future impact to the issue rate is further based on geographic locations of the existing insurance policies.