Abstract: A computer-implemented method includes providing a user an electronic form with a field associated with a query for which an accurate response depends upon a type of an object, processing an image of the object that the user submitted via a user-interactive control of the form to identify physical features of the object, using the identified physical features to determine the object type, providing to the user a request for confirmation of the determined object type, and, in response to receiving confirmation of the determined object type from the user, causing the client device to automatically populate the field of the electronic form within the web browser in accordance with the determined type.

Abstract: The present disclosure generally relates to methods and systems to automatically generate personal articles insurance data and/or personal articles insurance policies, quotes, premiums, pricing, discounts, etc. More particularly, the present disclosure relates to automatically generating personal articles insurance data based upon information extracted from digital images of documentation associated with a personal article, such as via object recognition and/or optical character recognition techniques. The digital images of documentation of the personal article may include digital images of alpha-numeric text related to the personal article and/or at least one picture of the personal article. Personal articles insurance quotes, policies, premiums, discounts, etc.

Abstract: Methods and systems are provided to automatically generate insurance policy data and/or update insurance policies. More particularly, methods and systems are provided to automatically generate insurance policy data and/or update insurance policies based upon life events and/or life event data. The life events and/or life event data may be representative of personal changes and/or life events (e.g., marriage; child birth; divorce; personal injury; purchase of a house; purchase of a vehicle; adoption; move to a different home, apartment, or state; employment change; health change; etc.) related to an insured person. The life events and/or life event data may automatically lead to providing insurance recommendations and/or adjusting insurance policies that provide insurance-based cost savings to insurance customers, more appropriate insurance coverage given the new circumstances, and/or enhance the customer experience.

Abstract: The present disclosure generally relates to methods and systems to automatically generate personal articles insurance data and/or personal articles insurance policies, quotes, premiums, pricing, discounts, etc. More particularly, the present disclosure relates to automatically generating personal articles insurance data based upon information extracted from digital images of documentation associated with a personal article, such as via object recognition and/or optical character recognition techniques. The digital images of documentation of the personal article may include digital images of alpha-numeric text related to the personal article and/or at least one picture of the personal article. Personal articles insurance quotes, policies, premiums, discounts, etc.

Abstract: A computer-implemented method includes providing a user an electronic form with a field associated with a query for which an accurate response depends upon a type of an object, processing an image of the object that the user submitted via a user-interactive control of the form to identify physical features of the object, using the identified physical features to determine the object type, providing to the user a request for confirmation of the determined object type, and, in response to receiving confirmation of the determined object type from the user, causing the client device to automatically populate the field of the electronic form within the web browser in accordance with the determined type.

Abstract: In a computer-implemented method, an image of an object may be received from a user via a client device and an Internet link. The image of the object may be processed according to an object recognition technique to identify physical features of the object. The physical features may include a ratio between different dimensions of an element of the object, a spacing between elements of the object, and/or a pattern created by elements of the object. The identified physical features may be used to determine the type of the object, at least in part by comparing the physical features to physical features known to correspond to the type of object. An indication of the determined type of the object may be provided to the user to facilitate manual or automatic entry of accurate information in a field of an electronic form displayed to the user on the client device.

Abstract: Methods and systems are provided to automatically generate insurance policy data and/or update insurance policies. More particularly, methods and systems are provided to automatically generate insurance policy data and/or update insurance policies based upon life events and/or life event data. The life events and/or life event data may be representative of personal changes and/or life events (e.g., marriage; child birth; divorce; personal injury; purchase of a house; purchase of a vehicle; adoption; move to a different home, apartment, or state; employment change; health change; etc.) related to an insured person. The life events and/or life event data may automatically lead to providing insurance recommendations and/or adjusting insurance policies that provide insurance-based cost savings to insurance customers, more appropriate insurance coverage given the new circumstances, and/or enhance the customer experience.

Abstract: Methods and systems are provided to automatically generate insurance policy data and/or update insurance policies. More particularly, methods and systems are provided to automatically generate insurance policy data and/or update insurance policies based upon life events and/or life event data. The life events and/or life event data may be representative of personal changes and/or life events (e.g., marriage; child birth; divorce; personal injury; purchase of a house; purchase of a vehicle; adoption; move to a different home, apartment, or state; employment change; health change; etc.) related to an insured person. The life events and/or life event data may automatically lead to providing insurance recommendations and/or adjusting insurance policies that provide insurance-based cost savings to insurance customers, more appropriate insurance coverage given the new circumstances, and/or enhance the customer experience.

Abstract: In a computer-implemented method, an insurance policyholder may be provided an electronic insurance form including at least a first field, the first field being associated with a query for which an accurate response depends on a type of an object associated with the insurance policyholder. An image of the object may be received. The image of the object may be processed according to an object recognition technique to identify at least one characteristic of the image of the object. The identified characteristic(s) may be used to determine the type of the object, and the insurance policyholder may be provided an indication of the determined type of the object to facilitate manual or automatic entry of accurate information in the first field. Additionally or alternatively, the indication of the determined type of the object may be automatically entered in the first field. An insurance policy or quote may be adjusted accordingly.

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.