SYSTEMS AND METHODS FOR PREDICTING THE VALUE OF PERSONAL PROPERTY

• US 20140122134A1
• Filed: 10/22/2013
• Published: 05/01/2014
• Est. Priority Date: 06/16/2011
• Status: Abandoned Application

• Current Assignee: Enservio Incorporated (Solera Holdings Incorporated)
• Original Assignee: Enservio Incorporated (Solera Holdings Incorporated)
• Inventors: Fini, James
• Application Number:
  US14/060,410
• Publication Number:
  US 20140122134A1
• Time in Patent Office: Days
• US Class Current: 705/4
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 40/08 Insurance

Abstract

Accurate, appropriate valuation of the contents of a residence is facilitated based on characteristics of the household and the residence. These factors are used to estimate the proper value of the contents and may be based, at least in part and in various embodiments, on information collected in the course of the insurance underwriting process and from public and non-public consumer spending data.

Claims

1. A workflow system for assembling an insurance product, the system comprising:

a database for storing policyholder data for a plurality of policyholders, the policyholder data comprising, for each policyholder, (i) categories of personal property covered by an insurance policy associated with the policyholder, (ii) a geographic location of the policyholder, (iii) demographic characteristics of the policyholder, and (iv) data indicative of when the policyholder became an independent adult consumer;

a segregation module for accessing a bulk source of consumer spending data for personal property and segregating the spending data for each policyholder based on the categories data, the demographic characteristics and the geographic location associated with the policyholder;

a coverage determination module for accessing data from the segregation module and compiling an aggregate lifetime spending amount for each policyholder for at least one category of personal property based on the segregated spending data and an amount of time since the policyholder became an adult consumer; and

a depletion module for adjusting the coverage amount by applying thereto at least one depletion factor indicative of an average property retention duration for the at least one category of personal property.

2. The system of claim 1 further comprising a database of historical personal property claims across a plurality of insurance carriers comprising, for a plurality of claims paid to policyholder claimants for each insurance carrier, (i) at least one category of claimed personal property, (ii) an adjusted replacement cost value (RCV) for each category of claimed personal property, (iii) quantities and ages of items of claimed personal property, (iv) depreciation applied by the carrier to items of the claimed personal property, (v) brands and vendors for items of the claimed personal property, and (vi) policy limits applied by the carrier for each claimed category of personal property, the depletion module accessing data from the database of historical personal property claims and computing the depletion factor based at least in part thereon.

3. The system of claim 2, wherein the database of historical personal property claims comprises records spanning a plurality of insurance carriers and a plurality of policyholder geographies and demographies.

4. The system of claim 1 further comprising a depreciation module for adjusting the coverage amount for at least one category of personal property covered by an insurance policy associated with the policyholder by applying thereto at least one depreciation factor indicative of an average decrease in value of personal property over time for the at least one category of personal property.

5. The system of claim 1, wherein the policyholder data in the database for storing policyholder data for a plurality of policyholders further comprises, for each policyholder, data indicative of policyholder demographic information.

6. The system of claim 1, wherein the coverage determination module compiles the coverage amount in part by summing across the categories of personal property spending data based on the amount of time since the policyholder became an adult consumer.

7. The system of claim 1, wherein the depletion module applies a separate depletion factor to each category of personal property, the depletion factor for a category depending on at least one of (i) the category, (ii) an amount of time since the policyholder became an adult consumer, or (iii) demographic information about the policyholder'"'"'s household.

8. The system of claim 4, wherein the depreciation module applies a separate depreciation factor to each category of personal property, the depreciation factor for a category depending on at least one of (i) the category, (ii) an amount of time since the policyholder became an adult consumer, or (iii) demographic information about the policyholder'"'"'s household.

9. The system of claim 1, further comprising a policy-generation module for generating an insurance policy based at least in part on the adjusted coverage amount.

10. A method of assembling an insurance product based on stored policyholder data for a plurality of policyholders, the policyholder data comprising, for each policyholder, (i) categories of personal property covered by an insurance policy associated with the policyholder, (ii) a geographic location of the policyholder, (iii) demographic characteristics of the policyholder, and (iv) data indicative of when the policyholder became an independent adult consumer, the method comprising the steps of:

using a computer to access a bulk source of consumer spending data for personal property;

computationally segregating the spending data for each policyholder based on the categories data, the demographic characteristics and the geographic location associated with the policyholder;

using the computer to compile a coverage amount for each policyholder based on the segregated spending data and an amount of time since the policyholder became an adult consumer; and

computationally adjusting the coverage amount by applying thereto at least one depletion factor indicative of an average property retention duration.

11. The method of claim 10, wherein the depletion factor is computed at least in part based on data indicative of historical personal property claims across a plurality of insurance carriers, the data comprising, for a plurality of claims paid to policyholder claimants for each insurance carrier, (i) at least one category of claimed personal property, (ii) an adjusted replacement cost value (RCV) for each category of claimed personal property, (iii) quantities and ages of items of claimed personal property, (iv) depreciation applied by the carrier to items of the claimed personal property, (v) brands and vendors for items of the claimed personal property, and (vi) policy limits applied by the carrier for each claimed category of personal property.

12. The method of claim 10, wherein the stored policyholder data further comprise at least one of income level, marital status, size of household, ages of household members, and genders of household members.

13. The method of claim 10, wherein the bulk source of consumer spending data for personal property is the Consumer Expenditure Survey.

14. The method of claim 10 further comprising computationally adjusting the coverage amount by applying thereto at least one depreciation factor indicative of an average decrease in value of personal property over time.

15. The method of claim 10 further comprising computing the policyholder'"'"'s premium levels.

16. The method of claim 10 further comprising computing a risk score for the policyholder.

17. The method of claim 10 further comprising computing a risk score for the policyholder.

18. The method of claim 17 further comprising computing reserve requirements for an insurance company.

19. The method of claim 10 further comprising computationally generating an insurance policy based at least in part on the adjusted coverage amount.

20. The method of claim 10 further comprising computationally adjusting the coverage amount for at least one category of personal property covered by an insurance policy associated with the policyholder by applying thereto at least one depreciation factor indicative of an average decrease in value of personal property over time for the at least one category of personal property.