Abstract: A damage assessment module operating on a computer system automatically evaluates a property, estimating damage to the property by analyzing a point cloud of a property. The damage assessment module identifies individual point clusters or segments from the point cloud and detects potentially damaged areas of the property surface by identifying outlier points in the point clusters. The damage assessment module may be used to determine the financial cost of the damage and/or determine whether the property should be replaced or repaired. In addition to eliminating the need for an estimator to visit the property in person, the damage assessment module improves the consistency and accuracy associated with estimating damage to a property.

Abstract: An on-demand insurance (ODI) server for generating dynamic user offerings may be provided. The ODI server may include at least one processor in communication with a memory device. The at least one processor may be programmed to (i) receive, from a user computing device associated with a user, an insurance policy request for a trip from a start location to an end location, (ii) determine at least one transportation mode available for the trip, (iii) access contextual data associated with the trip, (iv) assess a risk associated with the at least one transportation mode, (v) calculate a risk score associated with the at least one transportation mode based upon at least the contextual data, (vi) generate an insurance offering associated with the at least one transportation mode, and/or (vii) transmit the insurance offering in real time to the user computing device for purchase by the user.

Abstract: Novel tools and techniques are provided for implementing accounting platform functionalities. In various embodiments, a computing system might access a data file(s) associated with a first entity from a first accounting software system among a plurality of accounting software systems, each operating based on corresponding one of two or more commercial accounting software that are different from and/or incompatible with each other. The computing system might autonomously extract transaction data corresponding to a transaction entry for each individual transaction. The computing system might autonomously generate a transaction-based trial balance based on the extracted transaction data, the generated transaction-based trial balance serving as a living trial balance that is continually updated based on updated or new transaction data that is accessed from the first accounting software system.

Abstract: A computer-implemented system and method includes determining, by a mobile device associated with a user, a location of the user, generating, by the mobile device, a code comprising a tokenized value for sending funds and the location of the user, transmitting, by the mobile device, the code to a point of sale (POS) terminal associated with a merchant as part of a mobile wallet transaction, and receiving, by the mobile device, an indication that the mobile wallet transaction has been completed.

Abstract: Multiple insurance policies may be grouped or segmented into affinity groups, each of which corresponds to a respective risk level. A set of one or more financial instruments corresponding to a particular affinity group of insurance policies may be created and offered. One or more parties may be procured as investors in at least a portion of the set of financial instruments, thereby securitizing the risk associated with the insurance policies. Profits and/or losses generated by the insurance policies of the affinity group corresponding to the financial instruments may be distributed in accordance with the terms of the financial agreement.

Abstract: In certain embodiments, an online transaction is verified based on merchant-independent user geolocation. A geolocation of a user associated with the online transaction is obtained from a mobile device of the user by a transaction verifying entity separate and independent from a merchant entity with which the online transaction is initiated. A server associated with the transaction verifying entity determines a proximity of the geolocation of the user to a delivery address for verifying the online transaction. The server generates a verification message including an approval message based on the proximity of the geolocation to the delivery address being within a specified threshold. The server generates a verification message including a rejection message based on the proximity of the geolocation to a delivery address exceeding the specified threshold. The server sends the verification message to another server associated with the merchant entity to carry out the online transaction accordingly.

Abstract: In a computer-implemented method, one or more digital aerial images of a property of a current or potential policyholder may be received. The digital aerial image(s) may be processed to determine one or more features of the property, including one or more features of a tree. A predicted location of roots of the tree is determined based upon the tree feature(s). The property feature(s) is/are analyzed to determine a risk of damage to a structure located on the property, by analyzing at least the predicted location of roots of the tree to determine a risk of damage to a foundation of the structure. Based at least in part on this risk, a risk output is generated that includes an indication of whether action should be taken to mitigate the risk of damage and/or whether insurance coverage should be offered, and/or includes a measure of the risk of damage.

Abstract: A donation facilitation system that can allow a donor, such as a customer, to challenge another entity, such as a provider, to make a provider contribution to a portfolio of multiple charities set up by the donor upon, for example, the purchase of a good or service from the provider. The provided portfolio donation facilitation system can allow the other entity such as a provider to create its own provider portfolio of multiple charities and make a provider contribution to a customer's portfolio of multiple charities when at least one component of the provider's portfolio of multiple charities matches at least one component of the customer's portfolio of charities. The provider makes the contribution to the charity or charities.

Abstract: A heuristic engine includes capabilities to collect an unstructured data set and detect instances of transaction fraud in a financial account. By providing a heuristic algorithm with unstructured transaction sets and indications of particular instances of transactions that correlate with past fraudulent activity allows prevention of future occurrences of fraud. Such heuristic algorithms may learn from past indications of fraudulent activity and improve accuracy of detection of future fraud detections.

Abstract: System, apparatus, and methods are disclosed for determining, through vehicle-to-vehicle communication, a drafting characteristic of a drafting relationship using vehicle operational data, where the drafting characteristic may include one or more of a vehicle spacing between a first vehicle and a second vehicle, vehicle speed, and vehicle type. Vehicle driving data and other information may be used to calculate an autonomous droning reward amount. In addition, vehicle involved in a drafting relationship in addition to, or apart from, an autonomous droning relationship may be financially rewarded. Moreover, aspects of the disclosure related to determining ruminative rewards and/or aspects of vehicle insurance procurement/underwriting.

Abstract: A heuristic engine includes capabilities to collect an unstructured data set and a current business context to calculate a credit worthiness score. Providing a heuristic algorithm, executing within the engine, with the data set and the context may allow determination of predicted future contexts and recommend subsequent actions, such as assessing a credit risk of a customer transaction and reducing the risk of customer transactions by processing the available data. Such heuristic algorithms may learn from past data transactions and appropriate correlations with events and available data.

Abstract: A donation facilitation system that can allow a donor, such as a customer, to challenge another entity, such as a provider, to make a provider contribution to a portfolio of charities set up by the donor upon, for example, the purchase of a good or service from the provider. The provided portfolio donation facilitation system can allow the other entity such as a provider to create its own provider portfolio of charities and make a provider contribution to a customer's portfolio of charities when at least one component of the provider's portfolio of charities matches at least one component of the customer's portfolio of charities.

Abstract: An example method for facilitating a home mortgage includes: normalizing a plurality of loan products into a consolidated loan product; originating the consolidated loan product for a home purchaser; after origination of the consolidated loan product, determining a best fit for the consolidated loan product from among the plurality of loan products; and transferring the consolidated loan product to an entity associated with the best fit from the plurality of loan products.

Abstract: A personalized insurance (“PI”) computing device for determining an optimal insurance product for a driver operating a vehicle for a transportation network company (“TNC”) during a period of increased demand includes at least one processor in communication with at least one memory. The processor is configured to: (i) receive, from a TNC, data indicating increased demand for transportation services, (ii) retrieve driver data that includes the driver history, (iii) generate an optimal pricing model for the driver based upon the increased demand and the driver data, (iv) execute the model to determine an optimal insurance product having characteristics reflecting at least one risk factor associated with the increased demand for transportation services and a risk profile determined from analyzing the driver data, and (v) transmit an offer to the driver to provide transportation services at an increased earnings rate and with the determined optimal insurance product.

Abstract: According to some embodiments, data is received indicative of a plurality of insurance claims. It may then be automatically determined that a first insurance claim is associated with a first type of insurance and that a second insurance claim is associated with a second type of insurance. The received data associated with the first insurance claim may be analyzed in accordance with first segmentation logic to determine a first segment classification appropriate for the first insurance claim. Similarly, the received data associated with the second insurance claim may be automatically analyzed in accordance with second segmentation logic to determine a second segment classification appropriate for the second insurance claim. Indications of the first and second segment classifications may then be transmitted (e.g., to a load balancing and assignment engine that automatically selects claim handlers for insurance claims).

Abstract: Provided is a process of inferring insurability scores, the process including: receiving a request for an insurance comparison webpage; sending instructions to present one or more webpages of a web site having a plurality of user inputs configured to receive a plurality of attributes of the user; receiving the attributes; determining an insurability score with an insurability model based on the received attributes of the user; and sending instructions to display a value indicative of the insurability score.

Abstract: A computer system and method for processing insurance claim data to identify and recommend insurance policy modifications using informatic data from one or more informatic sensor devices relating to a dwelling. Analytical analysis is performed on the received informatic data to determine a dwelling assessment value regarding an insurance risk relating to the dwelling. Electronic data relating to an insurance policy associated with the dwelling is received by a computer processor and is electronically analyzed to determine insurance coverage and liability values for the dwelling as prescribed by the insurance policy. Predefined business rules are utilized by a computer processor using at least the dwelling assessment value and the determined insurance coverage and liability values for the dwelling to determine, and preferably recommend, one or more insurance products for inclusion with the insurance policy to mitigate insuree liability regarding the dwelling.

Abstract: A method, computer device, and security detail (SD) communication device enables real-time tracking and security of shipments. The method includes receiving a plurality of location signals indicating a location of multiple geographically co-located shipment-related entities that are being tracked as a shipment group. The shipment group includes an assigned security detail that has a corresponding location signal. The method includes presenting the shipment group as a plurality of co-located visual representations on a shipment tracking user interface (STUI) of the computing device, where each location signal is represented among the co-located visual representations. The method includes monitoring for any unscheduled deviations in at least one of an expected co-location and an expected geo-location of received updates to the location signals within the shipment group.

Abstract: Systems and methods for digital property collateral protection are disclosed. For example, a pre-underwriting analysis may be performed to ascertain the quality of a given borrower and the intellectual property associated with the borrower. If the borrower passes the pre-underwriting analysis, an underwriting analysis including an intellectual property valuation may be performed. If the borrower passes the underwriting analysis and the terms of a loan and insurance policy are otherwise agreed upon, a lender may issue a loan to the borrower with the intellectual property as collateral, and an insurer may issue an insurance policy to the lender to insure against covered events.

Abstract: An automated computer-implemented insurance tracking process comprising allowing an insured to select insurance-related information that can be shared with a particular requestor, automatically saving the selected insurance-related information in a computer memory, and automatically providing, to the particular requestor, digital access to the saved information.