Abstract: A method of determining a claim value corresponding to a damaged vehicle of a customer includes receiving exception data and image(s) corresponding to the damaged vehicle, generating a set of image parameters by analyzing the one or more image corresponding to the damaged vehicle using a first trained artificial neural network, generating the claim value corresponding to the damaged vehicle by analyzing the set of image parameters and the exception data using a second trained artificial neural network, and transmitting the claim value corresponding to the damaged vehicle. The method may include respective training of the first artificial neural network and second artificial neural network using labeled images and labeled telematics data.

Abstract: A method of determining a claim value corresponding to a damaged vehicle of a customer includes receiving exception data and image(s) corresponding to the damaged vehicle, generating a set of image parameters by analyzing the one or more image corresponding to the damaged vehicle using a first trained artificial neural network, generating the claim value corresponding to the damaged vehicle by analyzing the set of image parameters and the exception data using a second trained artificial neural network, and transmitting the claim value corresponding to the damaged vehicle. The method may include respective training of the first artificial neural network and second artificial neural network using labeled images and labeled telematics data.

Abstract: Systems and methods for analyzing image data to assess customer opportunities is disclosed. According to certain aspects, a server may access aerial and other image data depicting a set of properties, and may analyze the aerial and other image data to identify the set of properties and determine relevant information associated with the set of properties. The server may further assess which of the set of properties represents a customer opportunity, and may identify a retail terminal that may be configured to facilitate the customer opportunity. The server may generate and transmit a communication to the retail terminal that includes relevant information associated with the customer opportunity.

Abstract: Systems and methods for analyzing image data to assess policy management opportunities are disclosed. According to certain aspects, a server may access aerial and other image data depicting a set of properties, and may analyze the aerial and other image data to identify the set of properties and determine a set of conditions associated with the set of properties. The server may further assess, based upon the set of conditions and a set of previous conditions, whether corresponding policies associated with the set of properties are eligible for renewal, discounts, or other benefits for property owners. If the policies are eligible for renewal or discounts the server may automatically renew the policies, or apply the discounts or otherwise update the policies, respectively.

Abstract: Systems and methods for analyzing image data to automatically ensure image capture consistency are described. According to certain aspects, a server may access aerial and other image data and identify a set of parameters associated with the capture of the image data. The server may access a corresponding set of acceptable image capture parameters, and may compare the set of parameters to the set of acceptable parameters to determine whether image data is consistent with the set of acceptable parameters. In some embodiments, if the image data is not consistent, the server may generate a notification or instruction to cause an image capture component to recapture additional image data.

Abstract: Systems and methods for analyzing image data to automatically ensure image capture consistency are described. According to certain aspects, a server may access aerial and other image data and identify a set of parameters associated with the capture of the image data. The server may access a corresponding set of acceptable image capture parameters, and may compare the set of parameters to the set of acceptable parameters to determine whether image data is consistent with the set of acceptable parameters. In some embodiments, if the image data is not consistent, the server may generate a notification or instruction to cause an image capture component to recapture additional image data.