Abstract: A computer-implemented method of continuously updating information about a customer approved for a mortgage, the customer associated with a customer identification number. In one aspect, the method may include monitoring information accessed from a blockchain corresponding to the customer identification number, the information used to determine the customer is approved for a mortgage. In addition, the method may further include receiving new information about the customer, the new information used to determine the customer is approved for a mortgage. Further, the method may include updating a block of the blockchain to include the new information and recalculating the amount in which the customer is approved for a mortgage based upon the new information received.

Abstract: This technology relates to providing a web-based digital claims platform to provide users with a simple and customized experience when filing insurance claims. The platform is enabled by a plurality of back-end application programming interface (API) resources. These API resources are event-driven (e.g., when an “event” associated with the claim occurs, the status of the claim changes and the API is provided with updated information indicative of the change). The platform includes a customized user interface (UI) that tailors the claim experience to a particular user's needs. The customization can be based off of stated user preferences and/or learned user preferences associated with the user's past behavior. A user can perform/request various services through the customized UI's self-service function (e.g., rent a car, find a hotel room, select a repair shop, etc.). Additionally, the customized UI can enable the user upload documents, track claim status, find relevant help topics, etc.

Abstract: A system and computer-implemented method for approving a dynamic mortgage application. In one aspect, the method may include determining a customer is approved for a mortgage and determining a real estate property is mortgage ready, including calculating an appraisal value for the real estate property based upon the information about the real property retrieved from a computer file or memory location/address (such as by using a machine learning or artificial intelligence algorithm). The method may still further include comparing the calculated amount the customer is approved for a mortgage loan with the calculated appraisal value of the real estate property; and approving the mortgage application of the customer for the real estate property when the calculated amount the customer is approved for the mortgage loan meets, or exceeds, the calculated appraisal value of the real estate property.

Abstract: This technology relates to providing a web-based digital claims platform to provide users with a simple and customized experience when filing insurance claims. The platform is enabled by a plurality of back-end application programming interface (API) resources. These API resources are event-driven (e.g., when an “event” associated with the claim occurs, the status of the claim changes and the API is provided with updated information indicative of the change). The platform includes a customized user interface (UI) that tailors the claim experience to a particular user's needs. The customization can be based off of stated user preferences and/or learned user preferences associated with the user's past behavior. A user can perform/request various services through the customized UI's self-service function (e.g., rent a car, find a hotel room, select a repair shop, etc.). Additionally, the customized UI can enable the user upload documents, track claim status, find relevant help topics, etc.

Abstract: A system and computer-implemented method for approving a dynamic mortgage application. In one aspect, the method may include determining a customer is approved for a mortgage and determining a real estate property is mortgage ready, including calculating an appraisal value for the real estate property based upon the information about the real property retrieved from a computer file or memory location/address (such as by using a machine learning or artificial intelligence algorithm). The method may still further include comparing the calculated amount the customer is approved for a mortgage loan with the calculated appraisal value of the real estate property; and approving the mortgage application of the customer for the real estate property when the calculated amount the customer is approved for the mortgage loan meets, or exceeds, the calculated appraisal value of the real estate property.

Abstract: A system and computer-implemented method of continuously updating information about one or more of a customer approved for a mortgage and a real estate property identified as mortgage ready. The method includes monitoring information accessed from a memory storage location corresponding to a customer identification number, the information used to determine the customer is approved for a mortgage, and receiving new information about the customer, the new information used to determine the customer is approved for a mortgage. The method also includes updating, at a memory coupled to the one or more processors, the memory storage location to include the new information. The method still further includes recalculating the amount in which the customer is approved for a mortgage based upon the new information received.

Abstract: A system and computer-implemented method of continuously updating information about one or more of a customer approved for a mortgage and a real estate property identified as mortgage ready. The method includes monitoring information accessed from a memory storage location corresponding to a customer identification number, the information used to determine the customer is approved for a mortgage, and receiving new information about the customer, the new information used to determine the customer is approved for a mortgage. The method also includes updating, at a memory coupled to the one or more processors, the memory storage location to include the new information. The method still further includes recalculating the amount in which the customer is approved for a mortgage based upon the new information received.

Abstract: A computer-implemented method of continuously updating information about a customer approved for a mortgage, the customer associated with a customer identification number. In one aspect, the method may include monitoring information accessed from a blockchain corresponding to the customer identification number, the information used to determine the customer is approved for a mortgage. In addition, the method may further include receiving new information about the customer, the new information used to determine the customer is approved for a mortgage. Further, the method may include updating a block of the blockchain to include the new information and recalculating the amount in which the customer is approved for a mortgage based upon the new information received.

Abstract: A computer-implemented method of continuously updating information about a customer approved for a mortgage, the customer associated with a customer identification number. In one aspect, the method may include monitoring information accessed from a blockchain corresponding to the customer identification number, the information used to determine the customer is approved for a mortgage. In addition, the method may further include receiving new information about the customer, the new information used to determine the customer is approved for a mortgage. Further, the method may include updating a block of the blockchain to include the new information and recalculating the amount in which the customer is approved for a mortgage based upon the new information received.

Abstract: A system and computer-implemented method of continuously updating information about one or more of a customer approved for a mortgage and a real estate property identified as mortgage ready. The method includes monitoring information accessed from a memory storage location corresponding to a customer identification number, the information used to determine the customer is approved for a mortgage, and receiving new information about the customer, the new information used to determine the customer is approved for a mortgage. The method also includes updating, at a memory coupled to the one or more processors, the memory storage location to include the new information. The method still further includes recalculating the amount in which the customer is approved for a mortgage based upon the new information received.

Abstract: A system and computer-implemented method for approving a dynamic mortgage application. In one aspect, the method may include determining a customer is approved for a mortgage and determining a real estate property is mortgage ready, including calculating an appraisal value for the real estate property based upon the information about the real property retrieved from a computer file or memory location/address (such as by using a machine learning or artificial intelligence algorithm). The method may still further include comparing the calculated amount the customer is approved for a mortgage loan with the calculated appraisal value of the real estate property; and approving the mortgage application of the customer for the real estate property when the calculated amount the customer is approved for the mortgage loan meets, or exceeds, the calculated appraisal value of the real estate property.

Abstract: A system and computer-implemented method of continuously updating information about one or more of a customer approved for a mortgage and a real estate property identified as mortgage ready. The method includes monitoring information accessed from a memory storage location corresponding to a customer identification number, the information used to determine the customer is approved for a mortgage, and receiving new information about the customer, the new information used to determine the customer is approved for a mortgage. The method also includes updating, at a memory coupled to the one or more processors, the memory storage location to include the new information. The method still further includes recalculating the amount in which the customer is approved for a mortgage based upon the new information received.

Abstract: This technology relates to providing a web-based digital claims platform to provide users with a simple and customized experience when filing insurance claims. The platform is enabled by a plurality of back-end application programming interface (API) resources. These API resources are event-driven (e.g., when an “event” associated with the claim occurs, the status of the claim changes and the API is provided with updated information indicative of the change). The platform includes a customized user interface (UI) that tailors the claim experience to a particular user's needs. The customization can be based off of stated user preferences and/or learned user preferences associated with the user's past behavior. A user can perform/request various services through the customized UI's self-service function (e.g., rent a car, find a hotel room, select a repair shop, etc.). Additionally, the customized UI can enable the user upload documents, track claim status, find relevant help topics, etc.

Abstract: A system and computer-implemented method for approving a dynamic mortgage application using a blockchain. In one aspect, the method may include determining a customer is approved for a mortgage (“mortgage ready”) and determining a real estate property is mortgage ready. The method may include comparing a calculated amount in which the customer is approved for a mortgage loan with a calculated appraisal value of the real estate property, and approving the mortgage application of the customer when the calculated amount the customer is approved for the mortgage loan is equal to, or exceeds, the calculated appraisal value of the real estate property, reducing a processing time and closing time of the mortgage.

Abstract: A system and computer-implemented method for approving a dynamic mortgage application. In one aspect, the method may include determining a customer is approved for a mortgage and determining a real estate property is mortgage ready, including calculating an appraisal value for the real estate property based upon the information about the real property retrieved from a computer file or memory location/address (such as by using a machine learning or artificial intelligence algorithm). The method may still further include comparing the calculated amount the customer is approved for a mortgage loan with the calculated appraisal value of the real estate property; and approving the mortgage application of the customer for the real estate property when the calculated amount the customer is approved for the mortgage loan meets, or exceeds, the calculated appraisal value of the real estate property.

Abstract: A system and computer-implemented method of identifying multiple mortgage ready properties. The method includes receiving, via one or more processors, information from a customer approved for a mortgage about preferences for a real estate property and accessing, at a memory coupled to one or more processors, a memory storage location to retrieve a plurality of mortgage ready real estate properties meeting one or more of the customer preferences information. The method further includes transmitting, via the one or more processors, the plurality of real estate properties meeting one or more of the customer preferences information to the customer.

Abstract: This technology relates to providing a web-based digital claims platform to provide users with a simple and customized experience when filing insurance claims. The platform is enabled by a plurality of back-end application programming interface (API) resources. These API resources are event-driven (e.g., when an “event” associated with the claim occurs, the status of the claim changes and the API is provided with updated information indicative of the change). The platform includes a customized user interface (UI) that tailors the claim experience to a particular user's needs. The customization can be based off of stated user preferences and/or learned user preferences associated with the user's past behavior. A user can perform/request various services through the customized UI's self-service function (e.g., rent a car, find a hotel room, select a repair shop, etc.). Additionally, the customized UI can enable the user upload documents, track claim status, find relevant help topics, etc.

Abstract: A computer-implemented method of continuously updating information about a customer approved for a mortgage, the customer associated with a customer identification number. In one aspect, the method may include monitoring information accessed from a blockchain corresponding to the customer identification number, the information used to determine the customer is approved for a mortgage. In addition, the method may further include receiving new information about the customer, the new information used to determine the customer is approved for a mortgage. Further, the method may include updating a block of the blockchain to include the new information and recalculating the amount in which the customer is approved for a mortgage based upon the new information received.

Abstract: A computer-implemented method of continuously updating information about a customer approved for a mortgage, the customer associated with a customer identification number. In one aspect, the method may include monitoring information accessed from a blockchain corresponding to the customer identification number, the information used to determine the customer is approved for a mortgage. In addition, the method may further include receiving new information about the customer, the new information used to determine the customer is approved for a mortgage. Further, the method may include updating a block of the blockchain to include the new information and recalculating the amount in which the customer is approved for a mortgage based upon the new information received.

Abstract: A system and computer-implemented method for approving a dynamic mortgage application. In one aspect, the method may include determining a customer is approved for a mortgage and determining a real estate property is mortgage ready, including calculating an appraisal value for the real estate property based upon the information about the real property retrieved from a computer file or memory location/address (such as by using a machine learning or artificial intelligence algorithm). The method may still further include comparing the calculated amount the customer is approved for a mortgage loan with the calculated appraisal value of the real estate property; and approving the mortgage application of the customer for the real estate property when the calculated amount the customer is approved for the mortgage loan meets, or exceeds, the calculated appraisal value of the real estate property.