Abstract: In various embodiments, a system, method, and computer readable medium of the present disclosure comprises authenticating, by a processor of a computing device, credential information of a user of the computing device; releasing, by a processor of the computing device and in response to authenticating the credential information, a first secret element to a secure element processor of the computing device; verifying, by the processor of the computing device from the secure element processor of the computing device, that the user is an authorized user of a first transaction account by comparing the first secret element with an issuer element associated with the first transaction account; and activating, by the processor of the computing device, the first transaction account for a transaction on the computing device.

Abstract: Disclosed herein are system, method, and computer program product embodiments for performing a task. For example, the method includes receiving a triggering event from a client device and generating a processing map. The processing map indicates a processing flow between a plurality of processing instances to execute the task associated with the triggering event. The plurality of processing instances belongs to a topography map specifying a network topography including the plurality of processing instances. For each of the plurality of the processing instances, the method further includes identifying the respective processing instance based on the topography map and outputting the processing map and data associated with the triggering event to the respective processing instance to execute the task.

Abstract: A system for automated information support processing is disclosed. The system may receive a natural language information support request from a plain text input channel. The system may determine a first user intent based on the information support request. The system may compare the first user intent with a set of support rules. The system may determine a dispositioned outcome based on the set of support rules and the user intent. The system may return the dispositioned outcome.

Abstract: A system for instant qualification cross channel offer targeting is disclosed. The system may receive a plurality of personally identifiable information (PII) elements from at least one of a customer device or an affiliate system. The system may determine a credit authorization state in response to the PII element. The system may receive a first request to generate an offer from at least one of the customer device or the affiliate system. The system may generate the offer in response to an offer optimization model, the credit authorization state, and the first request to generate an offer. The system may hash the plurality of PII elements and determine a unique hash based on the plurality of PII elements. The system may associate the unique hash to the offer and store the offer as offer data.

Abstract: Systems and methods for motion-enabled transactions are disclosed. The system may allow users to complete transactions with merchants via an air sign input. The system may receive a motion-enabled transaction request comprising an air sign input. The system may determine a stored air sign symbol based on the air sign input. The system may retrieve a merchant identifier, a transaction type, and a transaction cost based on the determined stored air sign symbol. The system may transmit a transaction confirmation comprising the merchant identifier, the transaction type, and the transaction cost. In response to the user confirming the transaction confirmation, the system may authorize and process the transaction.

Abstract: A consumer may enroll in an event gamification system. An event listener may detect an event. The event gamification system may determine that the event qualifies for a game in which the consumer is enrolled. The event gamification system may transmit an achievement notification to the consumer as soon as the event occurs. The game may be displayed in a GUI on a consumer device. The consumer may be rewarded for completing the achievements in the game. Also, a server computer receiving a plurality of data sets that represent visually perceptible elements for a plurality of host web pages, wherein each of the plurality of host web pages displays an active link associated with a product on a merchant web page. The server automatically generating composite web page from: i) the particular data set associated with the particular host web page and the particular set of visually perceptible elements and ii) the related electronic content associated with the product from the merchant web page.

Abstract: At least some embodiments are directed to a prediction system of software objects. The prediction system predicts a first aspect of a user profile utilizing a categorization machine learning model and a user activity profile, the user profile and the user activity profile are associated with a user. The user activity profile comprises a plurality of values associated with demographics and historical activity data of the user. The prediction system predicts a software object associated with the user profile utilizing an optimization machine learning model, the first aspect of the user profile, and a second aspect of the user profile. The software object is optimized with respect to at least one competitive interest between the user associated with the user profile and an entity associated with the software object. The prediction system outputs the software object to a client computing device of the user.

Abstract: Systems and methods for secure mobile checkouts are disclosed. The system may include a secure mobile checkout device configured to scan products available in a merchant store. The device may scan the product to determine a product identifier. The device may transmit the scanned product data to a checkout application to retrieve product data corresponding to the product identifier. In device may initiate a transaction with a payment network to purchase the product, based on the product data provided by the checkout application. The payment network may process the transaction, and may authorize the purchase with the merchant.

Abstract: A single sign-on system using blockchain is disclosed. The single sign-on system may interconnect various organization systems over a peer-to-peer network, with each organization system having a blockchain node and an application programming interface (API). The blockchain node invokes and uses a smart contract to write registration credentials to the blockchain during a registration process. During a login process, the blockchain node invokes the smart contract to determine whether login credentials match stored login credentials in the blockchain. In response to matching login credentials, the API may generate a single sign-on token that can be used by a user device to access one or more organization systems connected over the network.

Abstract: Disclosed are various embodiments for implementing scheduled transactions within a payment network. A computing device first determines that a trigger has occurred for a scheduled transaction for a first payment network. Then, the computing device identifies a network identifier for the recipient and a participant identifier for a recipient of the scheduled transaction. Next, the computing device determines, based at least in part on the network identifier, that the recipient of the scheduled transaction is associated with a second payment network. Subsequently, the computing device generates a payment request representing the scheduled transaction, the payment request comprising the network identifier for the recipient and the participant identifier for the recipient. Then, the computing device forwards the payment request to a global transaction router of a supernetwork.

Abstract: A zero knowledge proof purchase system and process using blockchain is disclosed. The system may comprise a customer device, a merchant system, an issuer system, and a blockchain network having a zero-knowledge proof (ZKP) smart contract. The system may implement a zero-knowledge proof algorithm having a key generator function, a proof function, and a validate function. Each function may be configured to perform various tasks in the system to support and enable zero-knowledge proof purchases.

Abstract: Disclosed herein are system, method, and computer program product embodiments for providing predictive revenue distribution using machine learning and a Real-Time Payment (RTP) network. A revenue distribution system may train and apply a machine learning model to merchant transaction records to generate a predicted revenue amount. The revenue distribution system may deposit predicted revenue amounts to provide predictive funding for merchant accounts. For example, this may provide same-day and/or next-day funding. The revenue distribution system may account for differences in predicted revenue amounts and actual transaction amounts by adjusting the deposits of subsequent days. The revenue distribution system may also account for different periods of time, such as several days, a week, or longer.

Abstract: A method comprising creating, by a computer-based system for shifting financial responsibility for a transaction from a merchant to a transaction account issuer, a digital wallet associated with a transaction account holder, wherein the digital wallet comprises one or more attributes associated with the transaction account holder, confirming, by the computer-based system, the attribute in response to a transaction request, and/or determining, by the computer-based system, whether to shift financial responsibility for the transaction from the merchant to the transaction account issuer.

Abstract: Disclosed are approaches for enforcing requirements that documentation be up to date. In response to initiation of a build process for an application, a source-code file associated with the application is evaluated to determine an identifier and a location for a corresponding documentation file. A determination can be made regarding whether the documentation file exists at the location. Another determination can be made regarding whether each function specified in the source-code file has a corresponding entry in the documentation file. The build process can be halted in response to determining that at least one function specified in the source-code file fails to have the corresponding entry in the documentation file. If the build process is halted, a message can be displayed on the computing device, the message identifying the at least one function specified in the source-code file that fails to have the corresponding entry in the documentation file.

Abstract: Systems and methods of the present disclosure may read source data corresponding to a source variable and apply a transformation to the source variable to generate an output variable. Accordingly, one such method comprises receiving a request to access an output variable by applying one or more data transformations to input data; before applying an actual data transformation to the input data, identifying that a match exists with a database of prior data transformations that have been applied to source variables to generate derived variables; identifying that a source variable in the matching one or more data transformations is flagged as sensitive data; and processing the request to access the output variable subject to an access restriction in response to the identification of the source variable that is flagged as sensitive data.

Abstract: Disclosed are various embodiments for a predictive communication system. In one embodiment, a communication is received from a user, and a profile associated with the user is identified. Real-time activity data associated with the profile and obtained from one or more internal channels via a messaging bus is accessed. A redeemable value accumulation in the activity data is determined to have reached a specified threshold. An intent prediction alert associated with the communication is determined according to one or more of a plurality of intent prediction rules based at least in part on the redeemable value accumulation reaching the threshold, where the intent prediction alert includes a predicted reason for the communication.