Abstract: The present methods and systems relate to using and accessing associate information for a company stored in a blockchain. The methods and systems include (1) receiving at least one associate request, the associate request having an associate request type, from at least one participant of the plurality of participants for information on an associate stored on the blockchain; (2) verifying the associate request based upon the associate request type; (3) verifying that, or otherwise determining whether or not, the associate information is stored on the blockchain; (4) when the associate information is stored on the blockchain, generating a transaction corresponding to the associate request type, or alternatively, when the associate information is not stored on the blockchain, generating a transaction involving the at least one associate request; and (5) transmitting the transaction to the plurality of participants, such as to facilitate maintaining a blockchain up-to-date.

Abstract: Systems and methods are disclosed with respect to using a distributed ledger, such as a blockchain, for managing smart home data. Various entities may edit and/or access the distributed ledger, such as a server (e.g., of the insurance provider), a mobile device (e.g., a tablet, smart phone, or laptop of the insured or of a vendor), a desktop computer (e.g., of the insured or of a vendor), a smart device in a home (e.g., a smart thermostat, a smart carbon monoxide detector, a smart camera or microphone, or any other smart device), a home controller that manages other smart devices, a drone that surveys the home (e.g., for roof or siding damage), etc.

Abstract: A system and computer-implemented method for continuously updating information about one or more of a customer approved for a mortgage and a real estate property identified as mortgage ready using computer technology and/or machine learning algorithms or artificial intelligence. The method includes monitoring information corresponding to one or more of the customer or the real estate property; identifying new information about one or more of the customer or the real estate property; updating a computer file and/or memory location/address to include the new information about one or more of the customer or the real estate property; and recalculating one or more of the amount in which the customer is approved for the mortgage or the appraisal value of the real estate property based upon one or more of new information received and the updated information from the computer file and/or memory location/address.

Abstract: Systems and methods may provide for customer pre-approval for a flexible loan product that may dynamically change to account for uneven or seasonal income of a customer. Some flexible loan products may include loan, warranty, and/or insurance payments. Past and/or current customer data, such as past and current income, predicted future income, current home or vehicle value, current interest rates, and/or vehicle or home maintenance, may be analyzed by artificial intelligence to periodically reassess and restructure the future loan payments.

Abstract: A computer-implemented method of incentivizing an insurance agent to update a memory storage location. The method includes receiving, at one or more processors, a message indicating an agent updated a memory storage location with information about a customer or a real estate property. The method also includes increasing, via the one or more processors and according to an interval of time, a score of the agent for at least one item of information about one or more of the customer or the real estate property updated to the memory storage location. The method further includes calculating, via the one or more processors, an agent rating based upon the score of the agent, the agent rating used to compute one or more of compensation or bonus of the agent.

Abstract: A computer-implemented method of incentivizing an insurance agent to update a computer file and/or memory location/address. The method includes receiving, at one or more processors, a message indicating an agent updated a computer file and/or memory location/address with information about a customer or a real estate property. The method also includes increasing, via the one or more processors and according to an interval of time, a score of the agent for at least one item of information about one or more of the customer or the real estate property updated to the computer file and/or memory location/address. The method further includes calculating, via the one or more processors, an agent rating based upon the score of the agent, the agent rating used to compute one or more of compensation or bonus of the agent.

Abstract: Systems and methods are described for performing vehicular collision reconstruction and battery conservation for an electric or battery-powered vehicle. In various aspects, an indication of a trigger event may be detected from computer analysis of telematics data gathered by one or more sensors associated with a vehicle. The trigger event may be associated with a vehicle collision. A camera mounted on the vehicle may be activated, based upon the indication of the trigger event, to acquire an image of a second vehicle associated with the vehicle collision. Image data associated with the image may then be transmitted to a remote server computer for analysis of the image data, in which the remove server is capable of generating from the image data, a reconstruction of the vehicle collision, and determining, from the reconstruction of the vehicle collision, a cause of loss associated with the vehicle collision.

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: In a computer-implemented method, telematics data collected during one or more time periods by one or more electronic subsystems of a vehicle, and/or by a mobile electronic device of the driver or a passenger, is received. The telematics data includes operational data indicative of how a driver of the vehicle operated the vehicle. The received telematics data is analyzed to identify driving behaviors of the driver during the time period(s). Based at least upon the driving behaviors, a driver profile is generated or modified. Based at least upon the generated or modified driver profile, a suggested vehicle type is identified, at least by determining that the profile meets a set of one or more matching criteria associated with the suggested vehicle type. An indication of the suggested vehicle type is displayed to a user.

Abstract: A shared ledger operated by a group of network participants according to a set of consensus rules manages and resolves subrogation claims between a clamant and a defendant. Evidence regarding the value of the subrogation claim is sent to the shared ledger by entities involved in the claim such as sending to a smart contract deployed on the shared ledger. The parties to the subrogation claim may supplement evidence and settlement proposals on the blockchain by broadcasting a transaction or sending data to the smart contract. Once the claim is resolved, the parties may settle the subrogation payment off-chain or may transact a token having value on the chain. A subrogation smart contract may be programmed to release funds under certain conditions including holding a bond by a claimant and/or upon final resolution of the subrogation claim.

Abstract: Vehicle usage-based data, including telematics data, may be utilized to generate and/or adjust one or more terms (e.g., a variable interest rate and/or variable principle amount) of a variable vehicle loan. Telematics data may include, for example, data generated via a vehicle mounted and/or mobile electronic device-mounted sensors. The one or more terms may be additionally or alternatively be adjusted based upon transportation metrics associated with usage of the vehicle by a transportation network company (TNC) and/or TNC driver.

Abstract: Vehicle usage-based data, including telematics data, may be utilized to generate one or more terms (e.g., a variable interest rate and/or variable principle amount) of a vehicle loan. Further, terms of the vehicle loan may be adjusted based upon vehicle usage-based data, including telematics data, and/or estimated vehicle depreciation. Additionally or alternatively, the one or more generated and/or adjusted terms may be based upon transportation metrics associated with usage of the vehicle by a transportation network company (TNC) and/or TNC driver.

Abstract: The present embodiments relate to systems and methods for using a blockchain or shared ledger to handle a total loss of a vehicle associated with a Vehicle Identification Number (VIN). A vehicle lifecycle may be tracked on a blockchain according to VIN. If the vehicle suffers a total loss, a transaction is broadcast to the blockchain to update the shared ledger to record the loss status of the vehicle. The blockchain may also include other information, such as mileage, regarding the vehicle and searchable by VIN. The other information and the loss status may be used to determine whether the vehicle likely represents a total loss.

Abstract: Systems and methods are described for provisioning physical residences to and from users of a residential provisioning platform. The residential provisioning platform assigns a platform unit value to each of a plurality of physical residences. A residence provisioning app is provided to a user for implementation on the user's device and for displaying selections corresponding to the plurality of physical residences. The residential provisioning platform may include a residence tracking app that receives a user selection from the residence provisioning app corresponding to a particular physical residence, updates a particular residence dossier of the particular physical residence to assign the particular physical residence to the user, and updates a residence profile of the user to indicate a remaining platform unit value of the particular physical residence attributable to the user.

Abstract: Systems and methods are described for provisioning physical residences to and from users of a residential provisioning platform. The residential provisioning platform assigns a platform unit value to each of a plurality of physical residences. A residence provisioning app is provided to a user for implementation on the user's device and for displaying selections corresponding to the plurality of physical residences. The residential provisioning platform may include a residence tracking app that receives a user selection from the residence provisioning app corresponding to a particular physical residence, updates a particular residence dossier of the particular physical residence to assign the particular physical residence to the user, and updates a residence profile of the user to indicate a remaining platform unit value of the particular physical residence attributable to the user.

Abstract: The present embodiments relate to systems and methods for using a blockchain to record information related to processes and services in the vehicle industry. The systems and methods may include (1) receiving an indication of vehicle being involved a vehicle collision and a vehicle VIN; (2) accessing, at a memory, a loss history blockchain associated with the vehicle using the VIN as a key; (3) receiving vehicle sensor data generated or collected prior to, during, and/or after the vehicle collision; (4) creating a block to add to the loss history blockchain that includes the vehicle sensor data, or otherwise updating the loss history blockchain with the vehicle sensor data associated with the vehicle collision; (5) analyzing the vehicle sensor data to reconstruct the vehicle collision; and/or (6) updating the loss history blockchain to include and/or indicate the reconstructed vehicle collision by including the created block.

Abstract: The present methods and systems relate to using and accessing data stored in a blockchain, and in particular, interacting with the blockchain and users to provide bank card activation services using smart contracts. The methods and systems include (1) receiving a credit card application package associated with a credit card, wherein the credit card application package includes credit card information and a set of user information, (2) verifying the credit card information and the set of user information, (3) checking the credit card information and the set of user information against the smart contract stored on the blockchain, wherein the smart contract includes a set of conditions, and (4) activating the credit card when the credit card information and the set of user information satisfy the set of conditions stored in the smart contract.

Abstract: Systems and methods are disclosed with respect to using a distributed ledger, such as a blockchain, for managing smart vehicle data. The managed data may relate to a detected vehicle event, such as: a motion or position detected by a motion or position sensor as a GPS chip, an accelerometer, a compass, a speedometer, a gyroscope, etc.; braking detected by a braking sensor; turn input detected by a steering wheel sensor; wheel position detected by a wheel sensor; engine temperature detected by a temperature gauge; oil temperature detected by a temperature gauge; a seatbelt status detected by a seatbelt and/or seat sensor; etc.

Abstract: In a computer-implemented method, telematics data collected during one or more time periods by one or more electronic subsystems of a vehicle and/or a mobile device is received. The telematics data includes operational data indicative of how a driver of the vehicle operated the vehicle. The telematics data is analyzed to identify one or more driving behaviors of the driver. Based upon the one or more of driving behaviors, a driver profile is generated or modified. A suggested vehicle component type matching the generated or modified driver profile is identified, at least by determining that the generated or modified driver profile meets a set of one or more matching criteria associated with the suggested vehicle component type. An indication of the suggested vehicle component type is displayed to a user.

Abstract: The present embodiments relate to systems and methods for using a blockchain or shared ledger to handle a total loss of a vehicle associated with a Vehicle Identification Number (VIN). A vehicle lifecycle may be tracked on a blockchain according to VIN. If the vehicle suffers a total loss, a transaction is broadcast to the blockchain to update the shared ledger to record the loss status of the vehicle. The blockchain may also include other information, such as mileage, regarding the vehicle and searchable by VIN. The other information and the loss status may be used to determine whether the vehicle likely represents a total loss.