Systems and methods for analyzing property telematics data to update risk-based coverage of a property

• US 10,453,149 B1
• Filed: 02/23/2017
• Issued: 10/22/2019
• Est. Priority Date: 06/23/2016
• Status: Active Grant

• Current Assignee: State Farm Mutual Automobile Insurance Company (State Farm)
• Original Assignee: State Farm Mutual Automobile Insurance Company (State Farm)
• Inventors: Gaudin, Kristopher Keith, Dunne, Tracey
• Primary Examiner(s): Anderson, Mike
• Application Number:
  US15/440,833
• Time in Patent Office: 971 Days
• CPC Class Codes: G06Q 30/0645 Rental transactions; Leasing transactions
• CPC Class Codes: G06Q 40/08 Insurance

Abstract

Systems and methods may analyze property telematics data, with homeowner permission or affirmative consent, to update risk-based coverage of a property, such as a house, during a short-term rental. The systems include a renter analytics computing device, a plurality of property telematics devices at the property, including at least one sensor, and a property telematics controller. The renter analytics computing device is configured to retrieve a pre-rental record including parameters of a short-term rental of the property, and retrieve property telematics data, from the property telematics devices, associated with the short-term rental. The renter analytics computing device may develop a risk level profile associated with the short-term rental and determine an adjusted coverage rate to cover the property during the short-term rental. As a result, a homeowner of the property may be protected against damages incurred to the property during the short-term rental.

Claims

1. A renter analytics computing device for analyzing property telematics data to update risk-based coverage of a property, the renter analytics computing device comprising a memory and a processor, wherein the processor is programmed to:

retrieve insurance policy information associated with an insurance policy issued for the property, the insurance policy information including a baseline coverage rate;

store risk analysis rules in the memory, the risk analysis rules associating a level of risk to various rental parameters and identified renter behaviors;

retrieve a pre-rental record including parameters of a short-term rental of the property, the parameters including an anticipated number of renters, a start date, an end date, and an indicator of shared space;

retrieve property telematics data associated with a duration of time between the start date and the end date, wherein the property telematics data is generated by one or more property telematics devices associated with the property, the property telematics data including at least one of utility usage data from one or more utility usage sensors, wireless router data from a wireless router, light-based sensor data from one or more light-based sensors, appliance usage data from one or more appliance usage sensors, security system data from one or more components of a security system, and emergency alert data from one or more emergency sensors, the property telematics data indicative of actual usage of the property during the short-term rental;

develop a risk level profile associated with the short-term rental based upon the parameters of the short-term rental and the property telematics data, wherein developing the risk level profile comprises applying the risk analysis rules to at least one of the parameters of the short-term rental and the property telematics data, wherein the risk level profile is a metric representative of a level of risk of damage to the property associated with the short-term rental;

determine an adjusted coverage rate to cover the property for the duration of time based upon the risk level profile, the adjusted coverage rate independent of the baseline coverage rate;

transmit a coverage report including the adjusted coverage rate to a homeowner associated with the property for review and approval of the adjusted coverage rate;

determine, based upon processing the property telematics data, that an actual number of renters associated with the short-term rental differs from the anticipated number of renters identified in the parameters of the short-term rental;

update the risk level profile; and

increase the adjusted coverage rate based on the updated risk level profile.

2. The renter analytics computing device of claim 1, wherein the processor is further programmed to:

apply the risk analysis rules to process the property telematics data and to identify a high-risk behavior that occurred during the short-term rental; and

develop the risk level profile to include the high-risk behavior.

3. The renter analytics computing device of claim 1, wherein the processor is further programmed to:

process the property telematics data to determine an actual usage of space at the property during the short-term rental; and

when the actual usage of space different from the indicator of shared space;

update the risk level profile; and

increase the adjusted coverage rate.

4. The renter analytics computing device of claim 1, wherein the pre-rental record is generated using a property-sharing application platform, and wherein the processor is further programmed to retrieve the pre-rental record from a homeowner computing device associated with the homeowner.

5. The renter analytics computing device of claim 1, wherein the processor is further programmed to transmit the coverage report to a homeowner computing device associated with the homeowner in at least one of an email message, a text message, a phone message, a push notification, and an in-application message.

6. The renter analytics computing device of claim 1, wherein the processor is further programmed to:

retrieve initial property telematics data before the start date of the short-term rental;

develop a baseline profile of the property based upon the initial property telematics data;

retrieve subsequent property telematics data after the end date of the short-term rental;

develop a subsequent profile of the property based upon the subsequent property telematics data; and

compare the subsequent profile to the baseline profile to determine a nature and extent of any damage incurred to the property during the short-term rental.

7. The renter analytics computing device of claim 6, wherein the processor is further programmed to:

generate an insurance claim associated with the damage incurred to the property, the insurance claim describing the nature and extent of the damage; and

transmit the insurance claim to an insurance server associated with the insurance policy on the property.

8. A computer-implemented method for analyzing property telematics data to update risk-based coverage of a property, the method implemented using a renter analytics computing device including a processor in communication with a memory, the method comprising:

retrieving insurance policy information associated with an insurance policy issued for the property, the insurance policy information including a baseline coverage rate;

retrieving a pre-rental record including parameters of a short-term rental of the property, the parameters including an anticipated number of renters, a start date, an end date, and an indicator of shared space;

retrieving property telematics data associated with a duration of time between the start date and the end date, wherein the property telematics data is generated by one or more property telematics devices associated with the property, the property telematics data including at least one of utility usage data from one or more utility usage sensors, wireless router data from a wireless router, light-based sensor data from one or more light-based sensors, appliance usage data from one or more appliance usage sensors, security system data from one or more components of a security system, and emergency alert data from one or more emergency sensors, the property telematics data indicative of actual usage of the property during the short-term rental;

developing a risk level profile associated with the short-term rental based upon the parameters of the short-term rental and the property telematics data, wherein developing the risk level profile comprises applying the risk analysis rules to at least one of the parameters of the short-term rental and the property telematics data, wherein the risk level profile is a metric representative of a level of risk of damage to the property associated with the short-term rental;

determining an adjusted coverage rate to cover the property for the duration of time based upon the risk level profile, the adjusted coverage rate independent of the baseline coverage rate;

transmitting a coverage report including the adjusted coverage rate to a homeowner associated with the property for review and approval of the adjusted coverage rate;

determining, based upon processing the property telematics data, that an actual number of renters associated with the short-term rental differs from the anticipated number of renters identified in the parameters of the short-term rental;

updating the risk level profile; and

increasing the adjusted coverage rate based on the updated risk level profile.

9. The computer-implemented method of claim 8, the method further comprising:

applying the risk analysis rules to process the property telematics data and to identify a high-risk behavior that occurred during the short-term rental; and

developing the risk level profile to include the high-risk behavior.

10. The computer-implemented method of claim 8, and light-based sensor data from one or more light-based sensors, the method further comprising:

processing the property telematics data to determine an actual usage of space at the property during the short-term rental; and

when the actual usage of space different from the indicator of shared space;

updating the risk level profile; and

increasing the adjusted coverage rate.

11. The computer-implemented method of claim 8, wherein the pre-rental record is generated using a property-sharing application platform, and wherein retrieving the pre-rental record comprises retrieving the pre-rental record from a homeowner computing device associated with the homeowner.

12. The computer-implemented method of claim 8, wherein transmitting the coverage report comprises transmitting the coverage report to a homeowner computing device associated with the homeowner in at least one of an email message, a text message, a phone message, a push notification, and an in-application message.

13. The computer-implemented method of claim 8 further comprising:

retrieving initial property telematics data before the start date of the short-term rental;

developing a baseline profile of the property based upon the initial property telematics data;

retrieving subsequent property telematics data after the end date of the short-term rental;

developing a subsequent profile of the property based upon the subsequent property telematics data; and

comparing the subsequent profile to the baseline profile to determine a nature and extent of any damage incurred to the property during the short-term rental.

14. The computer-implemented method of claim 13 further comprising:

generating an insurance claim associated with the damage incurred to the property, the insurance claim describing the nature and extent of the damage; and

transmitting the insurance claim to an insurance server associated with the insurance policy on the property.

15. At least one non-transitory computer-readable storage media having computer-executable instructions embodied thereon, wherein, when executed by one or more processors of a renter analytics computing device, the computer-executable instructions cause the one or more processors to:

retrieve insurance policy information associated with an insurance policy issued for the property, the insurance policy information including a baseline coverage rate;

retrieve a pre-rental record including parameters of a short-term rental of the property, the parameters including an anticipated number of renters, a start date, an end date, and an indicator of shared space;

retrieve property telematics data associated with a duration of time between the start date and the end date, wherein the property telematics data is generated by one or more property telematics devices associated with the property, the property telematics data including at least one of utility usage data from one or more utility usage sensors, wireless router data from a wireless router, light-based sensor data from one or more light-based sensors, appliance usage data from one or more appliance usage sensors, security system data from one or more components of a security system, and emergency alert data from one or more emergency sensors, the property telematics data indicative of actual usage of the property during the short-term rental;

develop a risk level profile associated with the short-term rental based upon the parameters of the short-term rental and the property telematics data, wherein developing the risk level profile comprises applying the risk analysis rules to at least one of the parameters of the short-term rental and the property telematics data, wherein the risk level profile is a metric representative of a level of risk of damage to the property associated with the short-term rental;

determine an adjusted coverage rate to cover the property for the duration of time based upon the risk level profile, the adjusted coverage rate independent of the baseline coverage rate;

transmit a coverage report including the adjusted coverage rate to a homeowner associated with the property for review and approval of the adjusted coverage rate;

determine, based upon processing the property telematics data, that an actual number of renters associated with the short-term rental differs from the anticipated number of renters identified in the parameters of the short-term rental;

update the risk level profile; and

increase the adjusted coverage rate based on the updated risk level profile.

16. The non-transitory computer-readable storage media of claim 15, and wherein the computer-executable instructions further cause the one or more processors to:

apply the risk analysis rules to process the property telematics data and to identify a high-risk behavior that occurred during the short-term rental; and

develop the risk level profile to include the high-risk behavior.

17. The non-transitory computer-readable storage media of claim 15, and wherein the computer-executable instructions further cause the one or more processors to:

process the property telematics data to determine an actual usage of space at the property during the short-term rental; and

when the actual usage of space different from the indicator of shared space;

update the risk level profile; and

increase the adjusted coverage rate.