Abstract: A system may be configured to generate an estimate of value at risk and may include a processor to process instructions that cause the system to generate a rolling time series of value data having a plurality of dimensions, perform rotation transform of the time series, perform variance scaling and correlation scaling on transformed time series, reverse transform the results of the scaling, and estimate of a value-at-risk for the value data.

Abstract: Method and system for evaluating, rewarding and facilitating philanthropic works are described. Ethical accounts and points are introduced and computer-implemented fair evaluations of, and hence interchangeable rewards for, various philanthropic works that reflect different time values are provided. Automatic calculation and distribution of rewarding points from a beneficiary to not only its benefactor but also the benefactor' precious benefactors are implemented to encourage sustainable philanthropy over time. Rewarding amounts and paths are tracked explicitly for impact measurement of philanthropic works, which may be used to facilitate more effective allocation of philanthropic resources. Volunteer requesting, applying and rewarding at the level of minimum durations are enabled, and automated coordination and documentation are offered to further facilitate philanthropic endeavors.

Abstract: The invention relates to an electronic transaction method. The method comprises carrying out an initiation communication between a terminal device and a mobile device, and carrying out an electronic transaction on the basis of the initiation communication between the terminal device and the mobile device. The initiation communication between the terminal device and the mobile device is a unidirectional communication in which initiation data is transmitted from the terminal device to the mobile device. The invention furthermore relates to a terminal device for use in an electronic transaction method, and to a transaction application for a mobile device for use in an electronic transaction method.

Abstract: A virtual assistant processes natural language expressions according to grammar rules created by domain providers. The virtual assistant uniquely identifies each of a multiplicity of users and stores values of grammar slots filled by natural language expressions from each user. The virtual assistant stores histories of slot values and computes statistics from the history. The virtual assistant provider, or a classification client, provides values of attributes of users as labels for a machine learning classification algorithm. The algorithm processes the grammar slot values and labels to compute probability distributions for unknown attribute values of users. A network effect of users and domain grammars make the virtual assistant useful and provides increasing amounts of data that improve classification accuracy and usefulness.

Abstract: A system receives information for a plurality of invoices having invoice amounts owed by a debtor-buyer to a plurality of creditor-suppliers, a cash pool amount for a cash pool available by the debtor-buyer for early payment of at least some of the invoice amounts, and a desired return rate, receives a plurality of offers, each offer from a corresponding creditor-supplier and comprising an offer return rate, determines whether each of the plurality of offers is eligible for acceptance based on each offer return rate from each offer and the desired return rate for the buyer and selects one or more invoices each having an invoice amount, and transmits award information to the debtor-buyer.

Abstract: Techniques described herein are directed to an intelligent lending platform in which a payment service may receive respective lending queries from users, analyze the queries using a machine-learned model and, if the queries are denied, output respective signals indicating that the respective queries are denied and the reasons for each respective decline. In some instances, the described techniques analyze data associated with each respective denied query to determine high-level reasons for the decline and may present these reasons in a manner that is both understandable to and actionable by the respective user. That is, the techniques may automatically identify the most significant reasons why a particular lending query was denied and may automatically output these reasons to a user in a manner that the user is able to easily comprehend and act upon to increase the chance of receiving an approval upon a subsequent lending query.

Abstract: Offline electronic currency payment and collection methods are provided. The payment method includes: establishing, by a first device, a wireless connection with a peer device, acquiring wallet information, and transmitting the wallet information to a first peer device without deleting stored electronic currency; and receiving collection information, verifying that first peer offline account information is not included in an offline transaction blacklist, acquiring first transaction information, digitally signing the first transaction information, transmitting first transaction data including signature data to the first peer device, and storing a first transaction record.

Abstract: Described are a system, method, and computer program product for updating and processing payment device transaction tokens. The method includes receiving a first notification based on issuance of a first new payment device, generating a first new token associated with the first new payment device, and linking the first new token to a previous token. The method also includes receiving a second notification based on issuance of a second new payment device, generating a second new token associated with the second new payment device, and linking the second new token to the first new token in a chain. The method further includes determining to deactivate the first new payment device and modifying the chain to remove the first new token. The method further includes receiving a transaction request and processing the transaction request by communicating second new token to an issuer.

Abstract: In an aspect, a method performed at a server includes: receiving an electronic message indicating an expected transfer, the message indicating at least a quantity of resources associated with the expected transfer and a value date associated with the expected transfer; detecting a trigger condition associated with the expected transfer; in response to detecting the trigger condition associated with the expected transfer, determining whether a transfer associated with the expected transfer has been made; and in response to determining that the expected transfer has not been made, providing a notification to a client device associated with a recipient of the expected transfer.

Abstract: A system for stable and streamlined transaction approval includes a rule management server and an authorizer server that operates independently of the rule management server. The rule management server is configured to receive a transaction rule associated with an account specified by a client entered through a portal generated by a graphical user interface. The server is further configured to identify data relevant to the transaction rule and transmit the transaction rule and the data identified to an authorizer server. The authorizer server is configured to receive transaction data related to a pending transaction of the credit card and apply the transaction rule to the transaction data and the data identified by the rule management server to determine whether to approve the pending transaction. The authorizer server operates independent of the rule management server and can be optimized to approve transactions quickly and operate in a stable condition.

Abstract: Systems and methods for performing insurance damage inspection by an unmanned aerial vehicle (UAV) are provided. A computing device may receive a request to inspect a vehicle, the request comprising a location of the vehicle. The computing device may identify a UAV from a plurality of UAVs that is located closest to the location of the vehicle from other UAVs in the plurality of UAVs. The computing device may instruct the UAV to travel to the location of the vehicle. The computing device may instruct the UAV to collect damage information on the vehicle using one or more onboard sensors of the UAV. The computing device may determine an amount of insurance payout to approve for repairs to the vehicle based on the damage information collected by the UAV.

Abstract: A system may receive transaction information associated with a transaction, the transaction information comprising an account number associated with a first user. The system may determine whether the transaction is associated with a second user. Responsive to determining the transaction is associated with the second user, the system may transmit a first prompt to a first user device associated with the first user, the first prompt comprising a request to confirm or deny the transaction. The system may receive, via the first user device, a first user selection confirming the transaction. Responsive to receiving the first user selection, the system may determine whether the transaction exceeds a predetermined threshold. Responsive to determining the transaction exceeds the predetermined threshold, the system may transmit a second prompt to the first user device, the second prompt comprising a recommendation to designate the second user as an authorized user of the account number.

Abstract: A method for preventing an unauthorized transaction indicative of scalping includes: receiving transaction data for a first payment transaction including one or more product identifiers associated with one or more products purchased in the first payment transaction and consumer identification data; updating a consumer profile based on the one or more product identifiers, wherein the consumer profile is identified using the consumer identification data; receiving a transaction message for a second payment transaction including at least one product identifier included in the one or more product identifiers and at least one consumer data value that is also included in the consumer profile; determining a suspicion score for the consumer profile above a predetermined threshold value; and transmitting an authorization response message for the second payment transaction including a response code indicative of rejection of the second payment transaction.

Abstract: Disclosed embodiments may include a system that may receive, from a user device associated with a user, authentication rule(s), each authentication rule associated with respective merchant(s) and comprising respective required authentication factor(s) for completing a transaction with the respective merchant(s). The system may identify a user has navigated to a merchant webpage and may determine at least one rule of the authentication rule(s) associated with the merchant. The system may identify first required authentication factor(s) corresponding to the at least one rule, and may cause the user device to display, via a GUI, the first required authentication factor(s). The system may receive, via the user device, authentication information associated with the user. The system may determine whether the authentication information satisfies the first required authentication factor(s). Responsive to making that determination, the system may enable the user to complete a transaction via the merchant webpage.

Abstract: The embodiments recite systems and methods that improve the traditional underwriting process within a financial institution. These embodiments produce an underwriting model that emulates the resolution patterns of top performing underwriters. The underwriting model once is built and tested is incorporated into decision tools that provide underwriters with insightful advices when underwriting a client. The embodiments use statistical learning techniques such as support vector machine and logistic regression. These techniques can assume a linear or nonlinear relationship between factors and risk classes. Furthermore, the underwriting model also uses artificial intelligence tools such as expert systems and fuzzy logic. A company's underwriting standards and best underwriting practices may be updated periodically so that underwriting model based on decision heuristic keep improving the quality of its output over time.

Abstract: A method for trusted notifications comprises: receiving, at a first host having at least one trusted server, a request message from a sender computing device, the request message comprising a request identifier and instructions to: update, at a second host, a recipient account associated with a recipient computing device, and to make a corresponding update at the first host to a sender account associated with the sender computing device. The method further comprises authorizing, at the first host, the request message; updating the sender account; generating a secure message at the at least one trusted server, the secure message comprising the request identifier and an indication from the at least one trusted server that the update completed; and sending the secure message from the first host to the sender computing device. The secure message can be received at the sender computer device and conveyed to the recipient computing device.

Abstract: The disclosure includes a system and method for receiving, using one or more processors, monitoring data; preprocessing, using one or more processors, the monitoring data based on a plurality of vectors, the plurality of vectors including a first vector; applying, using the one or more processors, a first rule associated with the first vector; and triggering, using the one or more processors, a first action based on the first rule.

Abstract: An exemplary system, method, and computer-accessible medium can include receiving first information related to a first transaction associated with a financial account, determining a first network coverage area associated with the first transaction, receiving second information related to a second transaction associated with the financial account, determining a second network coverage area associated with the second transaction, flagging the second transaction as potentially fraudulent based on the first network coverage area and the second network coverage area. The financial account can be a credit card account. The second transaction can be flagged if the first network coverage area and the second network coverage area do not overlap. The first network coverage area can be based on a coverage area for a first satellite and the second network coverage area can be based on the coverage area for a second satellite, where the first satellite can be different than the second satellite.

Abstract: Embodiments provide methods and systems for associating a single token with multiple accounts of a user, and enabling the user to define rules for processing transactions using the token. A Federated Virtual Card (FVC) may be provisioned on a digital wallet of a user device through a token associated with the FVC. Transactions conducted using the FVC may be divided among the two or more user accounts based on user-defined rules. An account (e.g. card) may be added to or removed from the FVC without disrupting the card holder's ability to use the card to transact outside the FVC. A mobile application or an online platform may be provided for managing the FVC.

Abstract: A computer-implemented system and method of dynamically switching between a full checkout process and a partial checkout process based on a payment processor load condition. An e-commerce platform may receive checkout requests in connection with a merchant account and may complete, for each of at least one of the checkout requests, an authorization operation and a capture operation via a payment processor. If the platform detects a first payment throughput limit event with regard to the payment processor then it completes a respective authorization operation for each new checkout request, and delays a respective capture operation for the new checkout request until after a second payment throughput limit event is detected.