19 results about "Payment processor" patented technology

A method for establishing a cross-issuer chargeback fraud detection system includes receiving a fraud analysis request for one or more chargebacks from a payment processor using an Application Programming Interface (API) over a computer network, extracting identifying information of transactions associated with the one or more chargebacks from the fraud analysis request, searching for a fraud analysis profile linked to the extracted identifying information in a profile database, determining whether the fraud analysis profile linked to the extracted identifying information exists in the profile database, upon determining that the fraud analysis profile linked to the extracted identifying information does not exist in the profile database, retrieving historical transaction data associated with the extracted identifying information from a historical transaction database, retrieving reported fraudulent activities from one or more financial institutions associated with the extracted identifying information, and aggregating the retrieved historical transaction data and reported fraudulent activities.

A modelling platform including at least one processor in communication with a memory device and a payment processor is provided. The at least one processor is configured to retrieve subsets of data from a transaction history database, derive training data sets from the subsets, apply model input data fields of each training data set as inputs to one or more machine learning models, and apply a machine learning algorithm to adjust parameters of the one or more machine learning models. The at least one processor is also configured to upload at least one trained machine learning model to an operational predictive model module, apply a stream of real-time authorization request messages as inputs to the at least one trained machine learning model, and transmit, to the payment processor in real-time or near real-time, values of at least one output obtained by applying the stream.

Systems and methods are provided for a banking system that permits automatic generation of a second financial account using the account holder information associated with the first financial account. Account holders to reserve funds for future bill payments in a second financial account. The account holders may submit a bill reservation request that identifies a scheduled bill event with an associated bill amount to be paid from a first financial account via a payment processor. After receipt of the bill reservation request from the account holder, the banking system transfers funds equal to the bill amount identified in the bill reservation request from the first financial account to the second financial account. The banking system also instructs the payment processor to withdraw the bill amount identified in the bill reservation request from the second financial account instead of the first financial account. In this manner, an account holder may seamlessly reserve a portion of the first financial account for an upcoming bill in a manner that the account holder is prevented from accessing the reserved funds ahead of the bill payment.

Systems and methods for payment processing include receiving, by a payment terminal, a personal account number to complete a payment. The personal account number is encrypted by the payment terminal. The encrypted personal account number is sent from the payment terminal to a merchant server via a network. The encrypted personal account number is sent from the merchant server to a tokenization service provider server for tokenization and validation via a payment processor. The merchant server receives an indication of whether the transaction was successful and a token from the tokenization service provider server.

A payment processing method and apparatus for using an intermediary platform are described. In one embodiment, the method comprises electronically receiving approval from an intermediary platform associated with a payment processor user of a first authorization request for a first transaction; electronically receiving for approval, at the payment processing system, a second authorization request for a second transaction from a merchant using a payment instrument used by an agent of the service provider; and settling transactions associated with the service provider, including clearing a batch of records corresponding to the service provider on a predetermined time basis by comparing, with a tracking engine of the payment processing system, transaction tracking information associated with authorization requests to net out individual transactions.

The application relates to the technical field of vehicle-mounted payment, and discloses a vehicle-mounted face recognition payment device and system based on binocular vision, which comprises a payment terminal, the payment terminal is detachably installed on a central rearview mirror, the payment terminal comprises a payment main control board, a left camera, a right camera, a power module, a payment processor, a lamp, a payment memory, a TYPE-C interface and a wireless network interface are installed on the payment main control board, and the payment main control board is installed on an outer shell. Through the setting of the payment terminal and the intelligent vehicle-mounted terminal, after reaching the destination, the driver confirms the arrival place through the mobile terminal, confirms the arrival place, wakes up the payment terminal, then the passenger looks at the payment device, the payment terminal collects the face and the living body information of the passenger, and after comparison, the payment is completed; when the payment fails, the passenger continues to look at the payment terminal until the payment is successfully identified and completed, effectively solving the problem that the mobile terminal cannot be successfully paid due to no power, poor signal or insufficient traffic.

The present invention discloses a dynamic subscription management system and method utilizing artificial intelligence. The system comprises a computing device configured to preauthorize a customer's payment instrument, forecast potential chargebacks using machine learning, estimate future cash flow, detect fraudulent activity using AI models, and dynamically adjust subscription terms based on customer characteristics. The computing device generates user interfaces displaying analytics and recommendations, and can automatically implement optimizations. The method includes acquiring real-time transaction data, analyzing attributes using machine learning to predict optimal payment processors, routing transactions accordingly, and dynamically adjusting subscriptions based on AI analysis of customer behavior. The system and method aim to prevent fraud, reduce chargebacks, optimize payment routing, and improve customer retention.

Systems and methods are directed to a supply chain liquidity platform that includes a transaction manager configured to receive requests associated with the supply chain liquidity platform. An accounts receivable (A / R) data store can record, for various entities associated with the supply chain liquidity platform, authenticated A / R to be paid to the various entities, while an accounts payable (A / P) data store can record, for various entities associated with the supply chain liquidity platform, authenticated A / P to be paid by the various entities. In operation, a payment processor, in response to the authenticated A / R, disburses a discount payment for the authenticated A / R to the associated entity, and provides an investor that funds the discount payment with an investment payment that includes at least the funds and an additional interest payment.

The present disclosure relates to a payment processing system and a method for automatic payment method transmission to merchants. The method comprises providing a list of plurality of merchants to a user for receiving a user selection on at least one of the plurality of merchants for performing one or more transactions. In response to the user selection, the method comprises authenticating the user, based on user details provided by the user, for authorizing the user to set one or more payment methods for the at least one of the plurality of merchants selected by the user. Subsequently, method comprises transmitting the user details, user authorization and the one or more payment methods set by the user to a payment processor associated with each of the plurality of merchants selected by the user. Finally, the method comprises receiving a merchant confirmation on acceptance of the one or more payment methods set by the user from the at least one of the plurality of merchants selected by the user. In some embodiments, the above process may be also used to delete the one or more payment methods set with the plurality of merchants selected by the user and / or delete a merchant from the list of the plurality of merchants selected by the user.

The invention in a preferred embodiment provides a two-step transaction architecture for physical collectible items featuring two separate financial events: an initial purchase with an optional premium (10%) that provides downside protection, followed by an automatic buyback offer for all packs. The system implements a distributed database architecture maintaining synchronized digital-physical representations, with WebSocket technology enabling real-time updates. The offer uses a formula factoring the maximum of pack price and estimated value, with a configurable irrevocable timer. During the acceptance window, offers dynamically update based on fresh market data. The second transaction processes through a ledger-based approach, debiting the platform's master ledger and crediting the user's in-platform wallet, with payment processor integration used only for withdrawals.

A transaction is conducted between a merchant site and a customer's electronic device using a payment processor. The merchant site is associated with a client-side application and a server-side application. The client-side application executes on the customer's electronic device. The client-side application electronically sends payment information retrieved from the customer's electronic device to the payment processor. The client-side application does not send the payment information to the server-side application. The payment processor creates a token from the payment information sent by the client-side application. The token functions as a proxy for the payment information. The payment processor electronically sends the token to the client-side application. The client-side application electronically sends the token to the server-side application for use by the server-side application in conducting the transaction. The payment information can thus be used by the server-side application via the token without the server-side application being exposed to the payment information.

A token-based biometric payment processing system facilitates point-of-sale (POS) processing of payments. A biometric identification provider (BIP) receives a single-use token (SUT) from a payment processor (PP). The SUT is associated at the PP with a payment account on file (PAOF) and with an identity at the BIP. Upon identification at a scanner by the BIP, the SUT is processed to generate payment data (PMT) that is secured. The PMT is sent to the scanner, which forwards the PMT to a PP terminal using a communication interface and protocol. The communication interface and protocol may use existing contactless approaches, such as those used for mass transit cards, allowing the scanner to communicate with a wide array of PP terminals. The PP terminal then sends the PMT on to the PP. The PP receives the PMT and, if the PMT is valid, initiates a transaction to transfer funds from the PAOF.

Some aspects of the present technology relate to technologies for providing a self-learning apparatus to detect all possible financial fraud behavior within a payment processor. In accordance with some configurations, payment protocols are modeled as a graph and a model simulation exhaustively searches all possible states spaces. Invariants are checked at each step and invariant violations (i.e., exploits) are logged with the sequence of steps that led to a respective exploit. In some aspects, upon determining a fix for the exploit, the graph model is updated and the model simulation is run again to confirm the fix has eliminated the exploit. A policy update or code enhancement may be implemented to modify the payment protocol accordingly.

Systems and methods for payment processing include receiving, by a payment terminal, a personal account number to complete a payment. The personal account number is encrypted by the payment terminal. The encrypted personal account number is sent from the payment terminal to a merchant server via a network. The encrypted personal account number is sent from the merchant server to a tokenization service provider server for tokenization and validation via a payment processor. The merchant server receives an indication of whether the transaction was successful and a token from the tokenization service provider server.

Some aspects of the present technology relate to techniques for detecting anomalous payment behavior using graphical model embedding and anomaly detection. According to some configurations, order payment data is collected from various sources, including e-commerce platforms, financial institutions, and payment processors. The collected payment data is constructed as a graph of each order. The nodes represent separate payment transactions associated with the order. Graphics embedding techniques are applied to graphically convert payment data into numerical vector space representations. The embedded data is analyzed within a particular time interval to identify a pattern of repetitive occurrences. A fiducial for normal modes is established for the time interval, and any modes that significantly deviate from the fiducial are marked as potential anomalous payment behavior. In some aspects, a graphical visualization comparison tool facilitates transparent verification of reconciliation and provides intuitive insights for benefit-related parties.

The disclosed computer-implemented method may include receiving, by a merchant server, user information of a user visiting a merchant website, and sending, from the merchant server to a bidding exchange, a bid request for displaying a payment interface on the merchant website. The bidding exchange may be connected to multiple payment processor servers that may provide payment interface code to the merchant server. The method may also include receiving, by the merchant server from the bidding exchange, the payment interface code in response to the bid request, and presenting, on the merchant website using the payment interface code, a customized payment interface. Various other methods, systems, and computer-readable media are also disclosed.

Computing systems and methods can use machine learning to improve the authorization of payments by payment systems. Specifically, contrary to existing payment authorization approaches which are static in nature, example aspects of the present disclosure are directed to machine learning systems which enable the dynamic and real-time optimization of one or more variable request parameters associated with a payment authorization request. Specifically, example computing systems described herein can employ one or more machine-learned models to assist in selection of a particular payment processor to which the authorization request is routed, optimization of one or more variable message parameters included in the authorization message (e.g., selection of values for a merchant identification, a merchandise category code, a transaction type, and / or other variable message parameters), and / or automatic generation and / or execution of an automated retry strategy that can be executed if a first authorization request is declined.

The invention relates to the technical field of vehicle-mounted payment, and discloses a binocular vision-based vehicle-mounted face recognition payment device and system, and the device comprises a payment terminal which is detachably installed on a central rearview mirror; the payment terminal comprises a payment main control board, a left camera, a right camera, a power supply module, a payment processor, light, a payment memory, a TYPE-C interface and a wireless network interface are installed on the payment main control board, and the payment main control board is installed on the outer shell. Through the arrangement of a payment terminal and an intelligent vehicle-mounted terminal, after a driver arrives at a destination, the driver confirms the arrival place through a mobile terminal and wakes up the payment terminal after confirmation, then a passenger sees a payment device, the payment terminal collects face and living body information of the passenger, payment is completed after comparison, and the driver continues to see the payment terminal after payment fails. Therefore, the problem that payment cannot be carried out smoothly due to the fact that the mobile terminal is out of power, poor in signal or insufficient in flow is effectively solved.

Some aspects of the present technology relate to technologies for detecting abnormal payment behavior using graph model embedding and anomaly detection. In accordance with some configurations, order payment data is collected from various sources, including e-commerce platforms, financial institutions, and payment processors. The collected payment data is structured as a graph for each order. Nodes represent individual payment transactions related to the order. Graph embedding techniques are applied to transform the payment data graph into a numerical vector space representation. The embedded data is analyzed for a particular interval of time to identify recurring patterns. A baseline for normal patterns is established for the interval of time and any patterns that deviate significantly from the baseline are flagged as potential abnormal payment behaviors. In some aspects, a graph visualization comparison tool aids in the transparent verification of reconciliations and provides intuitive insights for stakeholders.