Patent ID: 11861722
Assignee: BLUEOWL, LLC
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
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.