G06Q40/00

Method for minimizing financial risk for wireless services

A method and system for managing financial risk through the use of postpaid processing during use of wireless services is presented within the scope of the following invention. The present invention uses credit card authorization to pre-reserve credit card funds for wireless services in excess of planned usage. Authorizations eliminate the credit risk associated with overages and payment timing, and also maintain a customer experience identical to postpaid processing. The authorizations are invisible to the customer and no charge is brought to a customer's credit card until the monthly bill is settled. Separating the authorization and settlement stages of retail wireless payment processing allows the branded wireless provider to avoid inherent areas of credit risk during the tenure of a customer's wireless service, while maintaining a familiar customer experience.

Method for minimizing financial risk for wireless services

A method and system for managing financial risk through the use of postpaid processing during use of wireless services is presented within the scope of the following invention. The present invention uses credit card authorization to pre-reserve credit card funds for wireless services in excess of planned usage. Authorizations eliminate the credit risk associated with overages and payment timing, and also maintain a customer experience identical to postpaid processing. The authorizations are invisible to the customer and no charge is brought to a customer's credit card until the monthly bill is settled. Separating the authorization and settlement stages of retail wireless payment processing allows the branded wireless provider to avoid inherent areas of credit risk during the tenure of a customer's wireless service, while maintaining a familiar customer experience.

Utilizing artificial intelligence to predict risk and compliance actionable insights, predict remediation incidents, and accelerate a remediation process

A device may receive historical risk data identifying historical risks associated with entities, and historical compliance data identifying historical compliance actions performed by the entities. The device may train a machine learning model with the historical risk data and the historical compliance data to generate a structured semantic model, and may receive entity risk data identifying new and existing risks associated with an entity. The device may receive entity compliance data identifying new and existing compliance actions performed by the entity, and may process the entity risk data and the entity compliance data, with the structured semantic model, to determine risk and compliance insights for the entity. The risk and compliance insights may include insights associated with a key performance indicator, a compliance issue, a regulatory issue, an operational risk, a compliance risk, or a qualification of controls. The device may perform actions based on the risk and compliance insights.

Systems and methods for providing user-specific dynamic content for facilitating online transactions
11580597 · 2023-02-14 · ·

Methods and systems for automatically providing dynamic content for facilitating a transaction are described herein. An online marketplace is accessed by a client device over a network. A user identifier associated with the client device is passed to a payment service provider via a merchant system associated with the online market place. Dynamic content is generated by the payment service provider in response to the user identifier and subsequently served to the client device over the network.

Systems and methods for providing user-specific dynamic content for facilitating online transactions
11580597 · 2023-02-14 · ·

Methods and systems for automatically providing dynamic content for facilitating a transaction are described herein. An online marketplace is accessed by a client device over a network. A user identifier associated with the client device is passed to a payment service provider via a merchant system associated with the online market place. Dynamic content is generated by the payment service provider in response to the user identifier and subsequently served to the client device over the network.

Predictive pre-authorization of subsidiary accounts using passive biometrics
11580545 · 2023-02-14 · ·

A system and method for predictive pre-authorization of subsidiary accounts using passive biometrics which uses wireless mobile devices and biometric scanning to automatically predict pre-authorized transaction amounts for a plurality of subsidiary accounts in a secure manner without requiring the customer to handle his or her mobile device. The system and method uses a payment facilitation device at the business location which automatically detects and recognizes registered mobile devices, displays a photo of the customer to a business employee for identity confirmation, verifies the customer with a biometrics verification database, generates a pre-authorization amount with an authorization generator, and automatically deducts payments for purchases from a pre-authorized customer account. The system and method may further include capabilities for facilitating offline transactions using accounts enabled as offline accounts.

System, method, and apparatus to interactively broadcast value

A system, method, apparatus, and computer program product for interactively broadcasting value via a sound, a Wi-Fi, a Bluetooth, an email, a messaging, an RFID, or an NFC to incentivize direct consumer engagement. The system produces verifiable data on customer preferences, habits, and purchasing while using secure digital cryptographic technology to convey an item of value. The system is configured to transact a digital token normally carried on a blockchain leger in an off-ledger condition. The digital token is embedded with a media content. A mobile computing device having a representation of a digital wallet is configured to detect the digital token, decode the digital token and is transfer the digital token back to the blockchain ledger. When validated by the blockchain ledger, the digital token is transacted to a digital wallet on the blockchain ledger.

Shared expense management

Systems and methods are provided for managing shared expenses. The systems and methods may include a financial service provider identifying shared expenses in a customer's transaction history with software application executed on a server or personal computing device. The financial service provider may identify other individuals with whom the customer shares the expense, and send requests for reimbursement on the customer's behalf. The financial service provider ay monitor the status of reimbursement payments, and send reminders as necessary until the shared expense has been reimbursed.

Shared expense management

Systems and methods are provided for managing shared expenses. The systems and methods may include a financial service provider identifying shared expenses in a customer's transaction history with software application executed on a server or personal computing device. The financial service provider may identify other individuals with whom the customer shares the expense, and send requests for reimbursement on the customer's behalf. The financial service provider ay monitor the status of reimbursement payments, and send reminders as necessary until the shared expense has been reimbursed.

Computer implemented predisposition prediction in a genetics platform

A method, software, database and system for attribute partner identification and social network based attribute analysis are presented in which attribute profiles associated with individuals can be compared and potential partners identified. Connections can be formed within social networks based on analysis of genetic and non-genetic data. Degrees of attribute separation (genetic and non-genetic) can be utilized to analyze relationships and to identify individuals who might benefit from being connected.