Abstract: Systems and methods are disclosed for managing a plurality of supplemental payment sources of a user. One method includes: receiving a primary payment source account of a user for a purchase transaction originating at the merchant, the primary payment source account having an identifier associated with one or more supplemental payment source accounts; receiving supplemental payment source accounts of a user for applying to a payment transaction originating at the merchant; receiving, from a user device, preference settings to apply one or more of the supplemental payment source accounts to a payment transaction; receiving a transaction authorization request from the merchant or merchant acquirer for a transaction amount; and determining a combination of payment source accounts to use in the payment transaction, from a group comprising one or more supplemental payment source accounts and the primary payment source account, and any of one or more preference settings.

Abstract: The disclosure describes embodiments of systems, methods, and non-transitory computer readable storage media that enable network transactions between user accounts belonging to different network transaction platforms and unify user account modifications across user accounts on different network transaction platforms. For instance, the disclosed systems can cause two or more network transaction platforms to transmit and/or receive transactional values from one or more intermediary holding accounts upon receiving network transaction requests between user accounts belonging to the two or more network transaction platforms. In addition, the disclosed system can unify user account data on different network transaction platforms by modifying or updating the user account data (e.g., user attributes) by propagating schematized data messages to the one or more other network transaction platforms with instructions to modify or update the user attributes on other user accounts related to the user account.

Abstract: Machine learning models for fraud detection. The method includes receiving a schedule of weights, the schedule comprising a plurality of entries, each entry comprising a transaction value weight, a transaction volume weight, and a range of intervention rates; testing the at least one machine learning model using a holdout data set, resulting in a ranked transactions data set; and evaluating the performance of the at least one machine learning model by computing the weighted harmonic mean of the ranked transactions data set using the schedule of weights.

Abstract: A method for automatically recommending to a user of a software application one or more categories of a plurality of different categories of tax deductible expenses includes providing input data to a trained machine learning model and receiving output from the trained machine learning model based on the input data. The output includes a recommendation for the user that includes (i) one or more categories of the plurality of different categories of tax deductible expenses; and (ii) a plurality of examples of tax deductible expenses for each of the one or more categories. The method includes receiving feedback from the user on the recommendation and generating updated training data for the trained machine learning model based on the feedback.

Abstract: Provided are systems and methods for auto-performing short-term investments on an intermittent basis via a crypto-network and returning the principal and any interest before the account holder needs the money back. For example, a method may include executing a machine learning model on ingested data records to identify a temporary value that is idle in an account and a period of time that the temporary value is idle, displaying the determined temporary value, the period of time, and one or more recommendations of one or more blockchain networks, receiving authorization and a selection of a blockchain network from a user interface, installing a pre-programmed blockchain wallet on a blockchain ledger of the selected blockchain network, and triggering a transfer of funds from the account of the user to the pre-programmed blockchain wallet via a crypto-exchange server which converts the funds to cryptocurrency prior to the transfer.

Abstract: Provided are systems and methods for auto-performing short-term investments on an intermittent basis via a crypto-network and returning the principal and interest before the cash is needed. As an example, the method may include installing a blockchain smart contract on a blockchain ledger with read access to content stored on the blockchain ledger, establishing a communication channel between a monitoring engine and the blockchain smart contract, configuring the monitoring engine to identify stop conditions from content stored on the blockchain ledger, monitoring the blockchain ledger for updates to content stored on the blockchain ledger via the communication channel and detecting a stop condition based on an update to the blockchain ledger via the monitoring engine, and in response the detected stop condition, transmitting a request to the crypto-exchange server to return the funds to the external data source.

Abstract: The present invention relates to a system and method for providing restitution to a beneficiary when a package shipped by an originating shipper to a destination address, by way of a designated package transport carrier, is left unattended and damaged due to improper storage or exposure to inclement weather at the destination address prior to the package recipient taking receipt of the package. In an exemplary embodiment, a beneficiary is compensated, in accordance with a package repayment plan, when at least: a missing or damaged package report was created by the designated package transport carrier, the report indicates the package was delivered to the destination address during the plan enforcement period, and the originating shipper and the designated package transport carrier declined to provide a suitable remedy. Other embodiments include authorizing coverage for an address and package value, charging a transaction fee for authorizing coverage, and identifying fraud.

Abstract: An unpriced order auction and related market center and process are disclosed which allow posting market centers (e.g., exchanges) to schedule an auction that includes unpriced (Market) orders only. Such unpriced order auction executes at the midpoint of the NBBO, ensuring that the cross reflects the best prices in the entire marketplace, while discouraging the manipulation of the auction price on the posting market center. The disclosed auction also executes concurrently, but separately from the regular continuous matching process.

Abstract: Methods, systems, and apparatuses are described herein for the direct sharing and use of transaction data separately from transaction authorization processes. Transaction metadata associated with a transaction may be received and validated. Authorization information corresponding to the transaction may be received. The degree to which the transaction metadata is tested may be based on a predicted time of receipt of the authorization information. The transaction metadata and authorization information may be correlated. A computing device may determine whether to authorize the financial transaction based on the authorization information and the correlated transaction metadata. All or portions of the transaction metadata may be provided to one or more users after the transaction has been authorized or denied.

Abstract: Platform-agnostic digital assistant methods and apparatuses are provided. The apparatuses and methods include a processor configured by a memory to receive user data from a storage containing informational contents. The processor is configured to establish a communication channel with an entity and utilize the communication channel to receive first information related to a user. The processor is configured to extract at least one user datum from the first information and modify the informational contents of the storage based on at least one of the user datum and the first information. The processor is further configured to initiate an action related to the user based on at least one of the first information, the user datum, and the informational contents.

Abstract: A computer-implemented method includes: receiving an inquiry request message identifying a first payment transaction having a plurality of transaction parameters and a risk score, where the risk score is generated by a machine-learning model based on the plurality of transaction parameters; for each transaction parameter of the plurality of transaction parameters, perturbing a value of the transaction parameter and re-analyzing the first payment transaction with the machine-learning model to generate a perturbed risk score based on the perturbed transaction parameter; determining at least one impact parameter from the plurality of transaction parameters by comparing the perturbed risk scores generated for each of the plurality of transaction parameters; and generating an inquiry response message based on the at least one impact parameter.

Abstract: Systems and methods of reconfiguring machine learning models are disclosed. A method includes receiving, by a server computer, external data and determining, by the server computer, a machine learning model from a plurality of machine learning models, based on the external data. The plurality of machine learning models are in standby mode. The server computer configures an AI engine with the machine learning model. The method also includes receiving, by the server computer, a prediction request from a client computer, processing the prediction request with the AI engine to form a prediction response, and sending the prediction response to the client computer.

Abstract: A system comprising a plurality of mobile devices, an insurance policy database, and a server is disclosed. The server may be configured to receive barometric data from one or more sensors in each of the plurality of mobile devices, identify that the barometric data indicates an occurrence of at least one catastrophic event, identify a geographic region affected by the at least one catastrophic event, access the insurance policy database to determine a number of insurance policies in the geographic region, estimate a number of catastrophe resources needed to handle the number of insurance policies in the geographic region, and assign at least one of the catastrophe resources to each of the insurance policies in the geographic region.

Abstract: A system includes collecting serial numbers over a period of time, and constructing a matrix indicating which digits have been used at which positions. For a second period of time, the system collects a second group of serial numbers and, for each of these serial numbers, identifies a feature of the serial number by comparing it against the matrix, and automatically updates the matrix with the digits and digit positions of the serial number. The features are received into an artificial intelligence model as training data. Further, the system collects a third group of serial numbers and, for each serial number of the third group, identifies a feature of the serial number by comparing it against the matrix. These features are then received into the artificial intelligence model, which determines a risk score. The matrix is then updated with the digits and digit positions of the serial number.

Abstract: The disclosed embodiments relate to systems and methods for matching orders for a financial product. A first order for a financial product is received. The first order includes a preference for a first order book. An order processer selects a first hardware match processor based on the preference. A first hardware match processor attempts to match the first order with a previously received order in the first order book. A second order for the financial product is received. The second order includes a preference for a second order book. The order processor selects a second hardware match processor based on the preference. A second hardware match processor attempts to match the second order with a previously received order in the second order book. The first and second hardware match processors use different matching algorithms.

Abstract: A method includes establishing a first funds transfer account associated with a first device and a second funds transfer account with a second device, funding at least the first fund account, and selecting the second device as the recipient of a funds transfer from the first device. The method further includes sending a communications link request from the first device to the second device and receiving acceptance of the communications link request from the second device. The method then establishes a communications link between the first device and the second device, initiates a funds transfer from the first device to the second device, wherein the amount is designated at the first device, and verifies the funds transfer amount, the first funds transfer account, and the second funds transfer account. Then, the method transfers the amount to the second funds transfer account associated with second device.

Abstract: A system, method and computer-readable storage medium that add at least one transaction block to a chained sequence of one or more blocks, including receiving a request message having data of an electronic transaction, broadcasting, to nodes in a blockchain network, a consensus request message for generating at least one transaction block including creating a block header that contains a hash pointer to a previous block, and concurrently with updating transaction block data, comparing and performing an action based on the comparing, performing periodic valuation and transmission of an item having a value that is tied to the transaction data, including establishing transmission links with the external entities, determining a value of the item, and establishing movement of the item between the external entities based on the determined value of the item and predetermined thresholds.

Abstract: User devices are disclosed for managing a plurality of supplemental payment sources of a user. One method includes: generating and displaying a user interface prompting a user to input: an identifier of a primary payment source account for applying resources to transactions originating at one or more merchants, the primary payment source account being accounted for in a first data structure of a shared ledger and having its identifier linked with one or more supplemental payment source accounts; identifiers of one or more supplemental payment source accounts for applying resources to transactions originating at one or more merchants, the supplemental payment source accounts being accounted for in second and subsequent data structures of the shared ledger; and preference settings for applying resources of the primary payment source account and the supplemental payment source accounts to transactions, based on identities or categories of merchants involved in the transactions.

Abstract: Systems and methods are disclosed for least cost acquirer routing based on pricing models. One method comprises: receiving transaction-related information from a merchant, the transaction-related information including a payment network identifier of the payment network used in the initiated payment transaction; identifying the payment network used based on the payment network identifier determining the primary qualification criteria pertaining to the payment network used; determining an interchange rate and an interchange category based on the primary qualification criteria and the received transaction related information; determining a pricing model of an acquirer that yields the lowest fees applicable to the merchant based on one or more of, the transaction related information, the primary qualification criteria, and the interchange category; and transmitting the transaction-related information to the acquirer.

Abstract: Systems and methods involving computer-based processing for helping customers meet their minimum spend requirement for their introductory credit card offer are disclosed. In one embodiment, an exemplary computer-implemented method may comprise: receiving a total spending amount of a promotional credit card associated with an introductory credit card offer; determining a critical amount to satisfy the minimum spending amount of the promotional credit card; and causing to present a reminder on a screen of a user-associated computing device.