Patent Issued for Systems and methods for generating and updating an inventory of personal possessions of a user for insurance purposes (USPTO 11861722): Blueowl LLC

2024 JAN 19 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- A patent by the inventors Sanchez, Kenneth Jason (San Francisco, CA, US), filed on February 18, 2020, was published online on January 2, 2024, according to news reporting originating from Alexandria, Virginia, by NewsRx correspondents.

Patent number 11861722 is assigned to Blueowl LLC (San Francisco, California, United States).

The following quote was obtained by the news editors from the background information supplied by the inventors: “Some insurance policies (e.g., renter’s insurance, rental insurance, homeowners insurance, and/or property insurance) provide coverage for loss or damage to the personal possessions of a policyholder during a policy claim (e.g., a formal request by the policyholder to an insurance provider for reimbursement for one or more personal possessions covered under an insurance policy). Loss events may include residential fires, theft, vandalism and/or other events that cause partial or complete loss of the personal possessions of the policyholder. Policy coverage is associated with the amount of risk or liability that is covered by the insurance provider for the policyholder’s possessions during these loss events. Insurance providers set policy premiums based at least in part upon a number of factors including the amount of coverage that the policy provides (e.g., policy coverage or insurance coverage). In other words, the policy coverage is related to the amount of funds an insurance provider may have to pay a policyholder for damaged or lost possessions. As such, a policy coverage amount should aim to cover the amount it would cost to replace or repair each of the policyholder’s personal possessions.

“During a policy claim, the policyholder may submit an insurance claim request to the insurance provider, requesting reimbursement for lost or destroyed possessions. The insurance claim request may include a list of the personal possessions and values associated with the cost of replacing the personal possessions.

“In some cases, the policyholder may not have created an inventory list of their personal possessions prior to the loss event. Consequentially, the policyholder may be unable to remember or identify all personal possessions that were destroyed, lost, and/or damaged. It may be particularly challenging for a policyholder to recall personal possessions in the case of a total loss, when there may be limited evidence of the policyholder’s possessions (e.g. after a residential fire). As such, the policyholder may be unable to create a complete and/or accurate list of possessions for the policy claim. In other cases, a policyholder may have created an inventory list prior to the loss event, but failed to update or maintain the list such that the inventory list does not accurately reflect the most current personal possessions of the policyholder.

“Further, upon receiving the policy claim request, the insurance provider may subsequently request documentation or proof from the policyholder for one or more items in the list of possessions in order to confirm that the policyholder owned the item and/or to verify the cost or value associated with the item. Requested documentation may include images of the items, receipts, or authentication documentations such as titles, certifications of authenticity, or any other documentation that can be used to verify the value of the possessions. In some cases, the policyholder may be unable to provide documentation supporting the claimed lost items. For example, in some cases, the policyholder’s documents may have been lost or destroyed during the loss event. In other cases, the policyholder may not have kept or recorded documentation for every personal possession.

“Insurance premiums, coverage rates, and insurance claims may depend on the list of policyholder’s possessions owned by the policyholder. It would be advantageous for both the policyholder and the insurance provider to generate and update a complete and accurate list of personal possessions. The inventory of personal possessions should further include a cost or value assigned to each possession in the inventory of personal possessions, and documentation of the ownership and/or the value of the possessions. More specifically, the inventory of personal possessions may aid the insurance provider in determining policy rates and additionally aid the policyholder in determining the amount of coverage they will need. Further, during a policy claim, the inventory list may be used to determine reimbursement amounts for each possession.”

In addition to the background information obtained for this patent, NewsRx journalists also obtained the inventors’ summary information for this patent: “The present embodiment may relate to systems and methods systems and methods for generating and updating a list of personal possessions of a user based at least in part upon personal data associated with the user.

“In one aspect, a computer system for generating a list of items predicted to be associated with a candidate user is provided, and the computer system may include one processor in communication with at least one memory device. The at least one processor may be configured to: (i) generate a predictive possession model based at least in part upon a plurality of historical policyholder records associated with a plurality of policyholders, the plurality of historical policyholder records includes one or more historical insurance claims that includes one or more items owned by the plurality of policyholders and personal data associated with the plurality of policyholders, (ii) receive personal data associated with the candidate user, (iii) predict a first set of items owned by the candidate user based at least in part upon the received personal data associated with the candidate user and the generated predictive possession model, (iv) assign a value and a range of predesignated values for each item included in the first set of items, (v) cause the first set of items and their corresponding values to be displayed on a user device of the candidate user, and (vi) prompt the candidate user to input confirmation data including one of (a) a confirmation that the first set of items accurately describes a set of actual items possessed by the candidate user and (b) a confirmation that the values corresponding to the first set of items are satisfactory. The computer system may include additional, less, or alternate functionality, including that discussed elsewhere herein.

“In another aspect, a computer-implemented method for generating a list of items predicted to be associated with a candidate user using a computer system including one processor in communication with at least one memory device is provided. The method may include: (i) generating a predictive possession model based at least in part upon a plurality of historical policyholder records associated with a plurality of policyholders, the plurality of historical policyholder records includes one or more historical insurance claims that includes one or more items owned by the plurality of policyholders and personal data associated with the plurality of policyholders, (ii) receiving personal data associated with the candidate user, (iii) predicting a first set of items owned by the candidate user based at least in part upon the received personal data associated with the candidate user and the generated predictive possession model, (iv) assigning a value and a range of predesignated values for each item included in the first set of items, (v) causing the predictive set of items and corresponding values to be displayed on a user device of the candidate user, and (vi) prompting the candidate user to input confirmation data including one of (a) a confirmation that the first set of items accurately describes a set of actual items possessed by the candidate user and (b) a confirmation that the values corresponding to the first set of items are satisfactory. The method may include additional, less, or alternate actions, including those discussed elsewhere herein.

“In yet another aspect, at least one non-transitory computer-readable media having computer-executable instructions thereon is provided, wherein when executed by at least one processor of a computer system causes the at least one processor to: (i) generate a predictive possession model based at least in part upon a plurality of historical policyholder records associated with a plurality of policyholders, the plurality of historical policyholder records includes one or more historical insurance claims that includes one or more items owned by the plurality of policyholders and personal data associated with the plurality of policyholders, (ii) receive personal data from a candidate user, (iii) predict a first set of items owned by the candidate user based at least in part upon the received personal data associated with the candidate user and the generated predictive possession model, (iv) assign a value and a range of predesignated values for each item included in the first set of items, (v) cause the first set of items and their corresponding values to be displayed on a user device of the candidate user, (vi) prompt the candidate user to input confirmation data including one of (a) a confirmation that the first set of items accurately describes a set of actual items possessed by the candidate user and (b) a confirmation that the values corresponding to the first set of items are satisfactory. The instructions may direct additional, less, or alternate functionality, including that discussed elsewhere herein.

“Depending upon embodiment, one or more benefits may be achieved. These benefits and various additional objects, features and advantages of the present invention can be fully appreciated with reference to the detailed description and accompanying drawings that follow.”

The claims supplied by the inventors are:

“1. A computing system for generating a list of items predicted to be associated with a user, the computing system including one or more processors in communication with at least one memory device, the one or more processors configured to: generate a predictive possession model based at least in part upon a plurality of historical policyholder records associated with a plurality of policyholders, wherein: the predictive possession model includes a machine learning model; the predictive possession model is trained using the plurality of historical policyholder records; the plurality of historical policyholder records include one or more historical insurance claims that includes one or more items owned by the plurality of policyholders and personal data associated with the plurality of policyholders; receive personal data associated with the user; predict, by the generated predictive possession model, a first set of items owned by the user based at least in part upon the received personal data associated with the user, wherein the generated predictive possession model is configured to extract data associated with the first set of items from the received personal data; assign, by the generated predictive possession model, a value and a range of predesignated values for each item included in the first set of items; for each item included in the first set of items, cause information indicative of each item, the assigned value for each item, and the range of predesignated values for each item to be displayed on a user device of the user; prompt the user to adjust one or more values assigned to the first set of items; receive an adjusted value for a first item in the first set of items; determine whether the adjusted value is outside of the range of predesignated values assigned to the first item; if the adjusted value is within the range of predesignated values assigned to the first item, accept the adjusted value without prompting the user to provide documentation; if the adjusted value is outside of the range of predesignated values assigned to the first item, prompt the user to provide documentation that verifies the adjusted value of the first item; receive the documentation that verifies the adjusted value of the first item; and re-train the generated predictive possession model using the adjusted value of the first item.

“2. The computing system of claim 1, wherein the one or more processors are further configured to: prompt the user to at least one of add and remove one or more items from the first set of items.

“3. The computing system of claim 1 wherein the one or more processors are further configured to: determine, for each item of the first set of items that has an assigned value adjusted, that an adjusted value is within the range of predesignated values assigned to each item.

“4. The computing system of claim 1, wherein the one or more processors are further configured to: store the adjusted value of the first item in the at least one memory device as a new value of the first item.

“5. The computing system of claim 4, wherein the one or more processors are further configured to: transmit a finalized set of items to the user, wherein the finalized set of items include the new value of the first item.

“6. The computing system of claim 4, wherein the documentation that verifies the adjusted value of the first item includes one of a purchase receipt, a proof of purchase, an image of the first item, and a video of the first item.

“7. The computing system of claim 1, wherein the personal data of the user includes one of demographic data, age data, marital status, education, and employment data associated with the user.

“8. A computer-implemented method for generating a list of items predicted to be associated with a user, the method implemented on a computer device including one processor in communication with at least one memory device, said method comprising: generating a predictive possession model based at least in part upon a plurality of historical policyholder records associated with a plurality of policyholders, wherein: the predictive possession model includes a machine learning model; the predictive possession model is trained using the plurality of historical policyholder records; the plurality of historical policyholder records include one or more historical insurance claims that includes one or more items owned by the plurality of policyholders and personal data associated with the plurality of policyholders; receiving personal data associated with the user; predicting, by the generated predictive possession model, a first set of items owned by the user based at least in part upon the received personal data associated with the user, wherein the generated predictive possession model is configured to extract data associated with the first set of items from the received personal data; assigning, by the generated predictive possession model, a value and a range of predesignated values for each item included in the first set of items; for each item included in the first set of items, causing information indicative of each item, the assigned value for each item, and the range of predesignated values for each item to be displayed on a user device of the user; prompting the user to adjust one or more values assigned to the first set of items; receiving an adjusted value for a first item in the first set of items; determining whether the adjusted value is outside of the range of predesignated values assigned to the first item; if the adjusted value is within the range of predesignated values assigned to the first item, accepting the adjusted value without prompting the user to provide documentation; if the adjusted value is outside of the range of predesignated values assigned to the first item, prompting the user to provide documentation that verifies the adjusted value of the first item; receiving the documentation that verifies the adjusted value of the first item; and re-training the generated predictive possession model using the adjusted value of the first item.

“9. The method of claim 8 further comprising: prompting the user to at least one of add and remove one or more items from the first set of items.

“10. The method of claim 8 further comprising: determining, for each item of the first set of items that has an assigned value adjusted, that an adjusted value is within the range of predesignated values assigned to each item.

“11. The method of claim 8 further comprising: storing the adjusted value of the first item in the at least one memory device as a new value of the first item.

“12. The method of claim 11 further comprising: transmitting a finalized set of items to the user, wherein the finalized set of items include the new value of the first item.

“13. At least one non-transitory computer-readable media having computer-executable instructions thereon, wherein when executed by at least one processor of a computing device, cause the at least one processor to: generate a predictive possession model based at least in part upon a plurality of historical policyholder records associated with a plurality of policyholders; wherein: the predictive possession model includes a machine learning model; the predictive possession model is trained using the plurality of historical policyholder records; the plurality of historical policyholder records include one or more historical insurance claims that includes one or more items owned by the plurality of policyholders and personal data associated with the plurality of policyholders; receive personal data associated with a user; predict, by the generated predictive possession model, a first set of items owned by the user based at least in part upon the received personal data associated with the user, wherein the generated predictive possession model is configured to extract data associated with the first set of items from the received personal data; assign, by the generated predictive possession model, a value and a range of predesignated values for each item included in the first set of items; for each item included in the first set of items, cause information indicative of each item, the assigned value for each item, and the range of predesignated values for each item; prompt the user to adjust one or more values assigned to the first set of items; receive an adjusted value for a first item in the first set of items; determine whether the adjusted value is outside of the range of predesignated values assigned to the first item; if the adjusted value is within the range of predesignated values assigned to the first item, accept the adjusted value without prompting the user to provide documentation; if the adjusted value is outside of the range of predesignated values assigned to the first item, prompt the user to provide documentation that verifies the adjusted value of the first item; receive the documentation that verifies the adjusted value of the first item; and re-train the generated predictive possession model using the adjusted value of the first item.

“14. The computer-readable media of claim 13 further causing the at least one processor to: prompt the user to at least one of add and remove one or more items from the first set of items.

“15. The computer-readable media of claim 13 further causing the at least one processor to: determine, for each item of the first set of items that has an assigned value adjusted, that an adjusted value is within the range of predesignated values assigned to each item.

“16. The computer-readable media of claim 13 further causing the at least one processor to: store the adjusted value of the first item in the at least one memory device as a new value of the first item.

“17. The computer-readable media of claim 16 further causing the at least one processor to: transmit a finalized set of items to the user, wherein the finalized set of items include the new value of the first item.”

URL and more information on this patent, see: Sanchez, Kenneth Jason. Systems and methods for generating and updating an inventory of personal possessions of a user for insurance purposes. U.S. Patent Number 11861722, filed February 18, 2020, and published online on January 2, 2024. Patent URL (for desktop use only): https://ppubs.uspto.gov/pubwebapp/external.html?q=(11861722)&db=USPAT&type=ids

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