Abstract: Aspects described herein may relate to techniques for segmenting one transaction into multiple sub-transactions. A user may wish to purchase multiple items. The overall purchase request may be segmented into multiple sub-transactions based on a transaction category of each item. Transaction categories may be based on merchant category codes (MCCs). Each sub-transaction may include one or more items related to the same transaction category. Each sub-transaction may be underwritten and approved separately by the merchant and/or a financial institution (e.g., a credit card company). Financial information related to each different transaction category may be determined based on the sub-transactions. Reward offers may be provided in a more robust manner based on the different transaction categories determined during the purchase process.

Abstract: Systems and methods of the present disclosure enable context-aware haptic error notifications. The systems and methods include a processor to receive input segments into a software application from a character input component and determine a destination. A context identification model predicts a context classification of the input segments based at least in part on the software application and the destination. Potential errors are determined in the input segments based on the context classification. An error characterization machine learning model determines an error type classification and an error severity score associated with each potential error and a haptic feedback pattern is determined for each potential error based on the error type classification and the error severity score of each potential error of the one or more potential errors. And a haptic event latency is determined based on the error type classification and the error severity score of each potential error.

Abstract: An apparatus is disclosed herein. The apparatus includes a first liner, a second liner, one or more fastening components, and one or more prongs. The one or more fastening components couples the first liner to the second liner, defining an opening between. The one or more prongs are positionable between a closed position within the opening and an open position exterior to the opening. The one or more prongs include a payment prong. The payment prong includes a body free, a payment chip receptacle, and a payment chip. The body is free from any personal identification information. The payment chip receptacle is attached to the body. The payment chip is positioned in the payment chip receptacle. The payment chip is removable therefrom.

Abstract: Disclosed embodiments include systems and methods for improving the accuracy of online banking systems. In various embodiments, the system includes a user device capturing receipt information from one or more e-commerce application and a server device for associating captured receipt information with transaction data. The system may include a browser extension for facilitating automatic capture of receipt information and a matching module for associating receipt information with transaction data. In various embodiments, transactions displayed in transaction statements within an online banking application are augmented with item level data including product name, price, and vendor for each product included in a transaction.

Abstract: The innovation disclosed, in one aspect thereof, comprises systems and methods of a browser extension for product quality. Online shopping by a user can be monitored on a browser by a browser extension or integrated application with the browser. A potential purchase of a product is detected by the integrated application. The product is identified via analysis of a web page and cross reference to known products. The integrated application retrieves warranty claims data from an accessible warranty database. The warranty claims data is analyzed to determine a recommendation of the product. The integrated application presents the recommendation via the browser as an alert to the user.

Abstract: Methods, systems, and apparatuses are described herein for protecting user accounts using machine learning models. A machine learning model may be trained to determine whether account activity indicates a risk to credit scores. Account data, associated with a first financial account, may processed to determine whether the first financial account is associated with at least one underage user. A transaction request, associated with the first financial account, may be received. A history of transactions conducted by the first financial account may be retrieved. The trained machine learning model may be provided, as input, the transaction request and the history of transactions. An indication of risk to a credit score associated with the at least one underage user may be received as output from the trained machine learning model. A limitation may be added to the first financial account based on the indication of risk.

Abstract: A device may provide, to a user device, task data identifying tasks to be performed, and may receive, from the user device, a selection of a particular task from the tasks to be performed. The device may identify cameras associated with a particular task location, and may receive, from the user device, data identifying a location of the user device. The device may determine that the location of the user device matches the particular task location, and may receive, from the user device, task image data identifying images of the particular task location. The device may access, from the cameras, camera data identifying images of the particular task location, and may process the task image data and the camera data, with a machine learning model, to determine performance data associated with performance of the particular task. The device may perform one or more actions based on the performance data.

Abstract: Methods and systems for approving transactions are disclosed. An image of a financial object can be received. Account information for the party associated with the financial object can be determined based on an analysis of the image of the financial object. At least one proposed transaction can be generated. The at least one proposed transaction can be transmitted to the mobile device. An approval for the at least one proposed transaction can be received.

Abstract: Embodiments of the present disclosure relate to systems and methods for capturing information. In addition, embodiments of the present disclosure relate to solutions for capturing information using a web browser extension. Embodiments of the present disclosure further relate to securely transmitting captured information to a server for association with an application or form being completed by an individual.

Abstract: Methods and systems are described for verifying an identity of a user through contextual knowledge-based authentication. The system described uses contextual knowledge-based authentication. By verifying an identity of a user through contextual knowledge-based authentication, the verification is both more secure and more intuitive to the user. For example, by relying on confidential and/or proprietary information, the system may generate verification questions, the answers to which are known only by the user.

Abstract: A device may obtain user information associated with a user and first account information associated with the user. The device may determine, based on the user information, user employment information and may determine, based on the first account information, user compensation information. The device may process, using a first machine learning model, the user employment information and the user compensation information to determine predicted future user compensation information. The device may obtain second account information associated with the user and may determine, based on the second account information, new user compensation information. The device may determine whether the new user compensation information is consistent with the predicted future user compensation information. The device may determine a predicted reason for the new user compensation information not being consistent with the predicted future user compensation information.

Abstract: Exemplary embodiments may provide keys for unlocking access to a location, like a user room, a secure location, a door at an employee location, a trunk, a closet or other locked location or item, on a payment card. Examples of a payment card include but are not limited to a credit card, a debit card, a smart card, an employee identification card, etc. A secure token that acts as digital key may be uploaded to the payment card. The payment card may then be put in close proximity of a wireless reader at the lock. The wireless reader obtains the secure token and extracts the contents. If the contents are proper, the lock is unlocked. Otherwise, the lock remains locked.

Abstract: A system receives an image including a live facial image of the user and an identity document including a photograph of the user. Moreover, the system calculates a facial match score by comparing facial features in the live facial image to facial features in the photograph. The system recognizes data objects and characters in the identity document using optical character recognition (OCR) and computer vision, and then identifies, based on the recognized data objects and characters, a type of the identity document. Further, the system calculates a document validity score by comparing the recognized characters and data objects to character strings and data objects known to be present in the identified type of the identity document. Additionally, the system determines and outputs the user's identity verification status based on comparing the facial match score to a facial match threshold and comparing the document validity score to a document validity threshold.

Abstract: Various embodiments described herein are generally directed to techniques for managing fraud rules and generating authentication directions according to location data from one or more client devices. Embodiments may include using a payment server informed by a client device application to manage and/or apply fraud rules for transactions. In embodiments, fraud rules may be managed based on location data provided by a client device application and/or location data associated with at least one transaction system. In some embodiments, fraud rules may be managed based on location data provided by multiple client device applications and/or location data associated with at least one transaction system. In some embodiments, rules may be managed for an individual authorization request according to information from at least one client device application and location data for a transaction system associated with the authorization request.

Abstract: Described is an Automated Teller Machine (ATM), and related systems (and methods), that allows for applications (or “Apps”) to be accessed on the ATM. The system allows for a third-party application to be verified and installed on ATMs to provide users with additional services. The application may access peripherals of the ATM via an Application Programming Interface (API) provided as part of a Software Development Kit (SDK). Accordingly, the system may provide a secure mechanism for ATM providers to provide users with the benefits of accessing third-party applications. Moreover, these applications may leverage specialized ATM peripherals and provide functionality that may not otherwise be available on other types of devices.

Abstract: In some implementations, a device may receive a document associated with a series of recurring events and associated with an account. The device may analyze, using at least one of an optical character recognition technique or a natural language processing technique, the document to identify one or more characteristics associated with the document. The device may match the document with a record included in a ledger associated with the account based on the one or more characteristics associated with the document, enabling the device to identify that the record is associated with a recurring event of the series of recurring events. The device may modify display information associated with the ledger to append at least one characteristic associated with the document to information associated with the record. The device may transmit, to a user device, the display information to cause the display information to be displayed by the user device.

Abstract: In some implementations, a device may receive information indicating that an instrument has been provided by a user to a recipient. The instrument may be associated with a value, and the instrument may be designated for the recipient. The device may determine, using the machine learning model, a prediction of a time of an event associated with the instrument based on the recipient. The event associated with the instrument may result in a reduction of a balance of an account of the user. The device may transmit to another device of the user, a notification indicating the prediction of the time of the event associated with the instrument.

Abstract: In some implementations, a system may receive a notification related to a battery life of a battery of a user device. The system may determine, based on the notification, a battery level of the battery of the user device. The system may select based on the battery level of the battery of the user device, a particular communication scheme, of a plurality of communication schemes, for communicating with a user of the user device. The system may transmit at least one message according to the particular communication scheme.

Abstract: In some implementations, a card may communicate with an exchange terminal to complete the first exchange associated with an entity, wherein the first exchange is associated with the entity providing a validation of a second exchange associated with a charge for parking a vehicle. The card may receive, from the exchange terminal, an indication of the validation code based on communicating with the exchange terminal to complete the first exchange, wherein the validation code indicates the validation of the second exchange. The card may store the validation code and a time indicator associated with receiving the indication of the validation code. The card may transmit, to an exit terminal, an indication of the validation code and the time indicator to cause an amount associated with the second exchange to be at least partially reduced, wherein the exit terminal is associated with completing exchanges for vehicles parked in the location.

Abstract: In some implementations, a device may monitor incoming messages to at least one message account of a user. The device may determine, based on monitoring the incoming messages, that one or more messages, of the incoming messages, are associated with resetting authentication information for one or more accounts of the user. The device may determine, based on determining that the one or more messages are associated with resetting authentication information, whether the one or more messages are indicative of abnormal authentication information resetting activity. The device may perform one or more actions based on determining that the one or more messages are indicative of abnormal authentication information resetting activity.