Abstract: A computer-implemented method includes receiving a work item associated with a structure, determining, using an inspection model, that an inspection is needed for the work item, retrieving an aerial image corresponding to a geographic location associated with the structure, and analyzing the aerial image to identify a first object within the aerial image. Identifying the first object includes (i) identifying a first object data category corresponding to the first object, and (ii) determining a data value descriptive of the first object and corresponding to the first object data category. The method also includes identifying one or more action items based upon the first object data category and the data value, linking the one or more action items to a customer account that is associated with the geographic location, and performing one or more actions corresponding to the one or more action items.

Abstract: A computer implemented method includes retrieving, via a computer network, an aerial image corresponding to a geographic location associated with a structure, and analyzing the aerial image to identify a first object within the aerial image. Identifying the first object includes identifying a first object data category corresponding to the first object, and determining objective and subjective data values descriptive of the first object and corresponding to the first object data category. The method also includes identifying one or more action items based upon the first object data category and the objective and subjective data values, and linking the one or more action items to a customer account that is associated with the geographic location.

Abstract: A computer implemented method for linking an underwriting action to a customer is presented. The method receives an inspection model corresponding to a geographic location associated with a structure and determines that a virtual inspection is necessary based on the inspection model. The method also retrieves a first aerial image corresponding to the geographic location and a second aerial image corresponding to the geographic location and a time threshold. The method further receives a comparison data value corresponding to the first and second aerial image, determines an underwriting action based on the comparison data and links the underwriting action to a customer account.

Abstract: Methods, systems, and computer readable media are disclosed for determining a homeowners insurance quote from a captured image of a dwelling. The captured image includes geotagged information, and the address of the dwelling is determined by reverse geocoding this information. An insurance premium quote may then be generated based on the reverse geocoded address and any additional risk assessment factors, such as the building characteristics. Verification of the address may also be performed by accessing one or more databases, which may store information including addresses, coordinates, and images associated with the address. The building characteristics may be retrieved from one or more of the databases to allow for quote generation with minimal user intervention. Matching properties having comparative quotes near the dwelling address may also be generated.

Abstract: A computer implemented method for linking an underwriting action to a customer is presented. The method receives an inspection model corresponding to a geographic location associated with a structure and determines that a virtual inspection is necessary based on the inspection model. The method also retrieves a first aerial image corresponding to the geographic location and a second aerial image corresponding to the geographic location and a time threshold. The method further receives a comparison data value corresponding to the first and second aerial image, determines an underwriting action based on the comparison data and links the underwriting action to a customer account.

Abstract: Methods, systems, and computer readable media are disclosed for determining a homeowners insurance quote from a captured image of a dwelling. The captured image includes geotagged information, and the address of the dwelling is determined by reverse geocoding this information. An insurance premium quote may then be generated based on the reverse geocoded address and any additional risk assessment factors, such as the building characteristics. Verification of the address may also be performed by accessing one or more databases, which may store information including addresses, coordinates, and images associated with the address. The building characteristics may be retrieved from one or more of the databases to allow for quote generation with minimal user intervention. Matching properties having comparative quotes near the dwelling address may also be generated.

Abstract: A computer implemented method for linking an underwriting action to a customer is presented. The method receives an inspection model corresponding to a geographic location associated with a structure and determines that a virtual inspection is necessary based on the inspection model. The method also retrieves a first aerial image corresponding to the geographic location and a second aerial image corresponding to the geographic location and a time threshold. The method further receives a comparison data value corresponding to the first and second aerial image, determines an underwriting action based on the comparison data and links the underwriting action to a customer account.

Abstract: Methods, systems, and computer readable media are disclosed for determining a homeowners insurance quote from a captured image of a dwelling. The captured image includes geotagged information, and the address of the dwelling is determined by reverse geocoding this information. An insurance premium quote may then be generated based on the reverse geocoded address and any additional risk assessment factors, such as the building characteristics. Verification of the address may also be performed by accessing one or more databases, which may store information including addresses, coordinates, and images associated with the address. The building characteristics may be retrieved from one or more of the databases to allow for quote generation with minimal user intervention. Matching properties having comparative quotes near the dwelling address may also be generated.

Abstract: Methods and systems for processing property insurance are provided. According to embodiments, an insurer can process an insurance application for a property by determining a property rating score that reflects a need to conduct a manual inspection of the property. The insurer can apply a set of business rules or metrics to additional property data to further refine the decision of whether to conduct a manual inspection of the property as well as the decision of whether to issue a property insurance policy for the property. By not requiring a manual inspection, both the insurer and the insured may realize reduced costs.

Abstract: A server integrates cost estimates in a insurance price quote process. After receiving an identification of an insurable asset in response to the one or more questions, the server receives, via the computer network, an indication of a customer choice to launch a cost estimation interface on an end user device. The cost estimation interface is used to generate a cost estimate via communication with a cost estimation server. The server receives a cost estimate from the cost estimation server, the cost estimate being generated based on customer interaction with the cost estimation interface. Also, the server causes the cost estimate and quote process information to be displayed to the customer on the end user device.