Abstract: Aspects of the present disclosure include methods, systems, and non-transitory computer readable media that perform the steps of receiving a visual code identifier associated with a transaction of one or more transaction merchandises, receiving a radio frequency identification (RFID) identifier associated with the transaction, analyzing the image, determining at least one of one or more detected merchandises, a number of the one or more detected merchandises, and a price of the one or more detected merchandises based on information in the RFID identifier and the analyzed image, determining a merchandise discrepancy, a number discrepancy, or a price discrepancy, and transmitting, in response to determining the at least one of the merchandise discrepancy, the number discrepancy, or the price discrepancy, an alert.

Abstract: Embodiments disclosed herein provide for systems and methods of calculating the coefficients and creating a linear multivariate model of price returns for a given target portfolio by using the factor characteristic data of the fund's constituents at a particular point in time. The systems and methods provide for creating quantile matrices based on the target portfolio and a plurality of synthetic factor portfolios, and computing weights on each synthetic factor portfolio such that the sum of squared differences between each cell in the profile matrix of the fund and the factor portfolios is minimized.

Abstract: A system for generating a cybersecurity profile, wherein a time series data retrieval and storage server retrieves information from a prospective client, and information previously gathered, and stored, from a plurality of sources; a directed computational graph analysis module performs graph analysis on the data from the time series data retrieval and storage server; and an automated planning service module performs predictive simulation analysis on data received from the directed computational graph.

Abstract: Image processing techniques can be used to determine whether a person has installed an unauthorized device on or in a kiosk. For example, an image processing server can determine whether a person's hand(s) are engaging in abnormal behavior by obtaining recorded images of the person's hand(s) that extend towards the kiosk to perform an action, and by comparing the information in the recorded images with a set of previously known information about other persons' hands that are similarly extended towards the kiosk.

Abstract: Transaction account holders are able to attach additional data to a transaction in concert with the transaction being initiated, prior to the merchant posting the transaction. Transaction account holders do not have to wait and/or opt for an external service provider to assist with the compiling and/or attaching of data at a later point in time (e.g., after the merchant posts the transaction). Transaction account holders may upload and access electronic receipts associated with a transaction authorization almost immediately after the sale and/or authorization of the transaction.

Abstract: Devices and techniques are generally described for ranking of search results based on multiple objectives. In various examples, a first set of search results may be determined. A first objective and a second objective for ranking the first set of search results may be determined. A first label associated with the first objective may be selected for a first training data instance. A second label associated with the second objective may be selected for a second training data instance. A first machine learning model may be generated using the first training data instance and the second training data instance. In some examples, the first machine learning model may be effective to rank the first set of search results based at least in part on the first objective and the second objective.

Abstract: Data transaction-specific data packets transmitted over a data communications network from a plurality of source computer nodes are processed. A first data packet communication session is established between one source computer node and one destination computer node to transport data transaction specific data packets over a first path through the data communications network. A second alternative data packet communication session is established between the one source computer node and the one destination computer node to transport data transaction specific data packets over a second path that is different from and bypasses the first path. When a condition based on the data transaction-specific data packets is identified, electronic processing circuitry initiates an alteration of the first data packet communication session.

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: Methods and systems are disclosed for leveraging user premises supplied electric power to power active components in an information delivery network. In response to one or more conditions, an active component may switch an input power path from using grid-supplied or battery power to draw power from a user premises. The decision to switch the power path may be based on a number of conditions, for example, whether power is available from the grid, the relative cost of power from the user premises and whether the power from the user premises includes power from a renewable source.

Abstract: In some embodiments, a method to generate a user interface for a subscription management system may include receiving first order data relating to a first subscription offering, receiving second order data related to a second subscription offering, combining the first and second order data into a subscription data structure that, calculating a combined one-time payment amount for both the first and second subscription offerings based on the quantity data, calculating a combined periodic monthly subscription payment amount for both the first and the second subscription offerings based on the quantity and period data, and/or causing presentation of both the combined one-time payment amount and the combined monthly subscription payment amount in the user interface for the subscription management system.

Abstract: The SECURE MULTI-SERVER INTEREST RATE BASED INSTRUMENT TRADING SYSTEM AND METHODS OF INCREASING EFFICIENCY THEREOF AND ASSOCIATED INTEREST RATE BASED FINANCIAL INSTRUMENT (“IRFI”) provides efficient, secure instrument transactions. The IRFI provides increased trading system security and efficiency for an interest-rate based instrument exchange utilizing a server-based trading platform. The IRFI receives a user selection of a contract including associated characteristic parameters. The IRFI receives user-selected number of contracts to trade associated with a basis point for the contract. An artificial neural network, including at least one input layer, a hidden layer and an output layer, can determine a risk hedging amount based on the basis point for the contract and the selected number of contracts to cover a risk in an auction. The IRFI receives pricing data associated with an auction system, the pricing data including settlement yield and delivery price and determines a delivery amount for the contract.

Abstract: Methods and systems for monitoring use and determining risks associated with operation of a vehicle having one or more autonomous operation features are provided. According to certain aspects, operating data may be recorded during operation of the vehicle. This may include information regarding the vehicle, the vehicle environment, use of the autonomous operation features, and/or control decisions made by the features. The control decisions may include actions the feature would have taken to control the vehicle, but which were not taken because a vehicle operator was controlling the relevant aspect of vehicle operation at the time. The operating data may be recorded in a log, which may then be used to determine risk levels associated with vehicle operation based upon risk levels associated with the autonomous operation features. The risk levels may further be used to adjust an insurance policy associated with the vehicle.

Abstract: Disclosed and described herein are systems and methods of performing computer-aided analysis of health claims to determine if a current claim is consistent with past claims for a member. Consistent claims are directed to a healthcare payor while non-consistent claims are returned for review and/or revision.

Abstract: A system and method for performing a purchase transaction using rewards points by receiving a purchase request using a financial account with associated account information, determining based on the account information that the financial account is associated with a rewards program with rewards points, and providing the option to pay for the purchase using the financial account or at least a portion of the rewards points. The purchase may be paid for using rewards points from multiple rewards programs and/or multiple financial accounts.

Abstract: Systems and methods are provided for group bill payment comprising creating a secure group bill payment account associated with a plurality of group members. The group bill payment account may be configured to receive information via a network from the plurality of group members; permit a group member to manage the group bill payment account following an authentication process; and transmit a group payment to a provider. Systems and methods may further comprise receiving instructions from a group member to create a rule for requesting payment, the bill being from a provider and associated with group members; receiving the bill issued by the provider; determining a charge based on the bill and the rule; sending a payment request based on the charge; receiving a deposit into the group bill payment account; transmitting a group payment; and sending a notification.

Abstract: Method to generate onboarding flow for application starts with on-boarding server receiving request from electronic device to activate application. On-boarding server determines whether request is initial request. Request is determined to be initial request when minimal set of information associated with user is not stored in on-boarding server. When request is determined to be initial request, on-boarding server signals to electronic device to display request for minimal set of information associated with user which includes at least one of: user identification, legal name, phone number, or email address. Minimal set of information associated with user is then received and stored in on-boarding server. On-boarding server signals to allow initial access to application. Signaling to allow initial access includes signaling that user requires access to payment processing hardware to process user's physical payment instrument.

Abstract: The disclosure extends to methods, systems, and computer program products for producing financial goal planning having two dimensional and three dimensional graphical representations for financial goals.

Abstract: A usage frequency attribute is determined for each biometric feature in a biometric feature database. The usage frequency attribute indicates a matching success frequency of matching the biometric feature to a user having the biometric feature. The biometric features of the user are sorted in descending order of the usage frequency attribute. The sorting is based on a descending order of the usage frequency attributes for a given user. The biometric features in the biometric feature database are stored in descending order. The storing includes providing prioritized access to the biometric feature having a highest value of the usage frequency attribute so that the biometric feature is selected first in response to a request for the biometric feature of the user.

Abstract: A computer implemented method of processing a financial transaction executed by first person includes determining an automatic savings amount from the financial transaction by rounding up the amount of the financial transaction to the nearest dollar. The method further includes debiting the calculated savings amount from an account of the first person and crediting the savings amount to an account of a second person.

Abstract: Data account management systems and methods are described. A server is in communication with one or more information source systems, at least one user device associated with at least one user and one or more electronic data accounts associated with the user. The server links the electronic data accounts, monitors data among the information source systems and the linked accounts for any changes in activity associated with the user, predicts a behavioral activity of the user via machine learning based on at least one of the monitored data and historical data associated with the user, identifies at least one notification instruction specific to the user based on the predicted behavioral activity, and generates an interactive graphical user interface (GUI) for display on the user device. The interactive GUI presents one or more of the notification instruction and a user profile of the at least one user among the linked accounts.