Abstract: Disclosed are examples of transaction cards incorporating aluminum or aluminum alloys. The aluminum can be extracted or recycled from a retired aircraft. Other materials can also be incorporated into the transaction card to provide sufficient weight and rigidity to the transaction card. Stainless steel can be incorporated into the construction of the card in combination with aluminum to provide a desired user experience.

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 blockchain-based multi-merchant loyalty point partnership system may include a blockchain API host that receives a request to create a partnership smart contract for a multi-merchant loyalty point partnership. The request may specify various partnership parameters to include in the partnership smart contract. The blockchain API host may create the partnership smart contract and write the partnership smart contract to a blockchain. One or more qualified merchants may join the partnership smart contract to make the partnership active. In response to a customer completing a plurality of purchases that complete the partnership parameters of the partnership smart contract, the system may issue the customer a purchase reward which may include a loyalty point payout.

Abstract: Disclosed herein are system, method, and computer program product embodiments for mapping API dependencies for a journey test. An embodiment operates by receiving, at a graphical user interface (GUI), a test script representing the user journey within an application, wherein the test script specifies a sequence of application programming interfaces (APIs) that have been called as a user journeys through the application. The embodiment generates an API dependency map within the GUI comprising a sequential map of visual objects, illustrating (1) each of the APIs specified in the test script and (2) any dependent API called by each of the APIs. The embodiment executes the test script representing the user journey. The embodiment generates a status corresponding to each of the APIs called when executing the test script. The embodiment causes display of the generated status of an API or dependent API within the GUI selected by the user.

Abstract: The system may be configured to perform operations including receiving a transaction history for a consumer having transaction information associated with a plurality of transactions; detecting within the transaction information for each transaction a characteristic, resulting in a plurality of characteristics; calculating a respective value associated with each characteristic, wherein the respective value is at least one of a number or percentage of transactions having the characteristic; assigning a respective weight to each characteristic, producing an assigned respective weight for each characteristic; applying the assigned respective weight to the respective value associated with each characteristic to produce a respective weighted value for each characteristic; combining the respective weighted values of the plurality of characteristics; and/or producing a compliance score in response to the combining the respective weight values.

Abstract: Systems and methods for peer-to-peer secure document exchange are disclosed. The system may allow a document provider to securely transmit a certified document to a document verifier using decentralized storage. The verifier system may generate a session key pair and transmit the session public key to a trusted API provider. The trusted API provider may generate a session nonce. The verifier system may transmit the session nonce to the provider system. The provider system may use the session nonce to retrieve the session public key. The provider system may encrypt a certified document using the session public key and store the encrypted certified document in the decentralized storage. The verifier system may retrieve the encrypted certified document by polling the trusted API provider based on the session nonce. The verifier system may decrypt the encrypted certified document using the session private key.

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 system for customer defined limited use authorization. The system may receive an identification credential from at least one of an issuer native app or an issuer web app and receive a customer data. The system may determine a valid customer identity in response to the receiving the identification credentials and the customer data The system may receive a request to generate a token from at least one of the issuer web app or the issuer native app, wherein the request comprises at least one of the identification credential or a parent transaction account, and wherein the request comprises at least one of a customer defined authorization control or a customer defined generation control.

Abstract: Disclosed are various embodiments for using distributed ledgers to assist in securely developing applications. An application component comprising a component file can be received from a validation client. It can then be determined that the application component complies with a security policy. In response to a determination that the application component complies with the security policy, an endorsed application component record can be generated that comprises the component file or a network address at which the component file is obtainable and a signature for the component file generated with an asymmetric key-pair stored in the memory. The endorsed application component record can then be stored in the distributed ledger.

Abstract: At least some embodiments are directed to a system that receives a profile values associated from new user profiles of a computer network or system. A machine learning system determines a set of existing profiles that share at least one common profile value with the new user profile. A second machine learning model determines a set of existing user entitlements associated with the set of existing profiles. The new user profile is processed by a natural language processing engine to determine a set of new user entitlements from the set of existing user entitlements. The system provides the new user with access to electronic resources of the computer network. The system tracks the new user computer network or system activities and updates the new user profile based on the set of new user entitlements and the new user activity on the computer network or system.

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: 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: An electronic record related to a first transaction of a user can be received at a point-of-sale device. A user interface with real-time transaction data can be generated and displayed on the user device. An eligibility of the first transaction for a reward program can be determined. A portion of the reward program based on said determined eligibility can be selected and the electronic record of the first transaction can be updated by modifying the real-time transaction data currently displayed within the UI.

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 generate an output variable by applying one or more data transformations to a source variable; before applying an actual data transformation to the source variable, checking a database of prior data transformations that have been applied to source variables to generate existing output variables for a match with the requested one or more data transformations to the source variable; determining that a match exists in the database, wherein the match is associated with an existing output variable; and/or responding to the request by providing the existing output variable associated with the match that exists in the database of prior data transformations.

Abstract: At least some embodiments are directed to an entity matching detection system. The entity matching detection system includes a latent similarity identification machine learning model that receives one or more data records and generates a final similarity score indicative of a latent similarity between the one or more data records and a second data record. The entity matching detection system can identify lexical and semantic similarities between attribute values and can analyze and compute similarity scores for direct-linked attribute values and cross-linked attribute values extracted from different data records.

Abstract: At least some embodiments are directed to an entity classification system receives informational data associated with an entity. The informational data includes sentences associated with the entity. The entity classification system utilizes a first machine learning model to determine a first contextual meaning among words of a sentence associated with the entity based on a first word embedding technique, and determines at least one category associated with the entity based at least in part on the first contextual meaning. The entity classification system utilizes a second machine learning model to determine a second contextual meaning shared by a set of sentences based on a second embedding technique, and determines a subcategory of the category associated with the entity based at least in part on the second contextual meaning. The entity classification system generates an output including the category and subcategory associated with the entity.

Abstract: A payment network is operated with a blockchain-based ledger. In one embodiment, a request is prepared to complete a transaction from an account associated with a payer digital wallet for entry on a blockchain. The request includes an amount and a payee identifier associated with a payee digital wallet. The request is sent to the blockchain and approved. A balance of the payer digital wallet and a balance of the payee digital wallet are adjusted in response to approval of the request to complete the transaction by at least writing a portion of data associated with the transaction comprising the amount and the payee identifier to the blockchain. A reputation ledger associated with the account is recorded in the blockchain in association with the transaction. The reputation ledger includes at least one reputation score associated with at least one previous transaction conducted by the account.

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 consumer may initiate a transaction using a transaction account. The transaction account issuer may transmit a notification to the consumer that the transaction has been authorized. The consumer may select requestees with whom to split the transaction. The transaction account issuer may transmit instructions via APIs to peer-to-peer payment systems to request payment from the requestees. The peer-to-peer payment systems may transfer the payment to the transaction account issuer, and the transaction account issuer may apply to payment to the consumer's transaction account.

Abstract: At least some embodiments are directed to a system to compute uniform structured summarization of customer chats. In at least some embodiments, the system may operate a processor and receive a corpus of chats between customers and customer service representatives of an enterprise. Grouping the corpus of chats into subgroup task types and then extracting chat keywords and chat related words for each subgroup task type. Generating an expandable template data structures for each subgroup task type. Processing at least one chat to extract chat utterances and chat snippets ranking the chat utterances and chat snippets. Populating the expandable template data structure based on rankings to generate a chat summary data structure.