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: In some implementations, a printing system may include a card printer that includes a printing controller and a marking device. The card printer may be configured to receive a first printing instruction or a second printing instruction associated with printing an account identifier on a card. The card printer may receive one of the first printing instruction or the second printing instruction based on whether a risk score, associated with the account identifier, satisfies a threshold. The card printer may print a full account identifier, associated with the card, on a surface of the card based on receiving the first printing instruction. The card printer may print the card without the full account identifier on the surface of the card based on receiving the second printing instruction.

Abstract: The disclosed embodiments generally relate to a transaction card with an integrated card stand. The transaction card comprises a substrate having a card thickness, and first and second card surfaces, the second card surface being substantially coextensive with the first card surface. The transaction may further comprise a card stand pivotable relative to the second card surface and having a stand thickness.

Abstract: Systems and methods for overmolding a card are provided. A chip fraud prevention system include a device including a chip and a substrate. The chip may be at least partially encompassed in a chip pocket, and the substrate may be at least partially encompassed by the overmold.

Abstract: A device may configure a browser to permit cash payments for online transactions. The device may monitor a browser session of the browser. The device may detect, during the browser session, navigation of the browser to a transaction page of a website. The transaction page may be configured to facilitate an online transaction with the website. The device may determine, based on detecting the navigation of the browser to the transaction page, that a cash payment is to be provided. The device may cause a validation code to be generated. The device may cause, based on the validation code being processed, a virtual transaction card to be generated. The device may facilitate, using virtual card information associated with the virtual transaction card, execution of the online transaction.

Abstract: A device may determine a multi-customer offer, wherein the multi-customer offer identifies a threshold quantity of customers of the multi-customer offer to allow access to the multi-customer offer. The device may receive one or more requests to accept the multi-customer offer, wherein a request, of the one or more requests, is associated with a customer device of the one or more customer devices. The device may determine, based on a quantity of requests of the one or more requests, that the threshold quantity of customers is not satisfied. The device may identify, based on the threshold quantity of customers not being satisfied, one or more candidate customer devices having a likelihood of requesting to accept the multi-customer offer, wherein the one or more candidate customer devices are associated with respective users that are the potential customers, and wherein the likelihood satisfies a threshold.

Abstract: A device receives, from a user device, plan information that identifies a plan for an event and includes information identifying an account associated with the plan, plan items of the plan, and priorities and preferences associated with the plan items, where the user device is associated with a user of the account and the plan. The device receives transaction information identifying transactions associated with the account, and processes the plan information and the transaction information, with a first model, to identify transactions related to the plan. The device processes information associated with the particular plan item, the plan information, and the transaction information, with a second model, to determine recommendations for the plan, where the information associated with the particular plan item includes information identifying a priority and a preference associated with the particular plan item. The device provides information indicating the recommendations to the user device.

Abstract: Systems and methods for decision-making with multi-channel data inputs are provided. The system includes a plurality of devices, and a server in data communication with the plurality of devices. The server includes a decision engine, a sentiment analysis machine learning model, and a behavior analysis machine learning model. The server is configured to: receive the at least one data input from each of the plurality of device; perform, using the sentiment analysis machine learning model, a sentiment analysis on the at least one data input to generate sentiment information indicative of an emotional state of a user; perform, using the behavior analysis machine learning model, a behavior analysis on the at least one data input to generate behavior information indicative of a behavioral state of the user; determine, using the decision engine, a responsive action based on the sentiment information and the behavior information; and perform the responsive action.

Abstract: Various embodiments are directed to a method and system for provisioning a merchant-specific payment apparatus, such as a temporary payment card, via a computing device, such as an automated teller machine (ATM). A user, such as a customer, may specify a merchant. A record of known payment acceptance types at that merchant may be returned, which may be used to determine what type of temporary payment card gets issued to the user.

Abstract: Various examples generally directed to unlocking a locked contactless card for use as payment in card-present transactions are provided. The contactless card is a payment card associated with a payment account. An application executing on a mobile device may be operable to enable unlocking the locked contactless card and receive an indication that the contactless card associated with the mobile device is unlocked for use in card-present transactions. The application may present information related to permitted uses of the unlocked contactless card via a graphical user interface. The permitted uses of the unlocked contactless card may be modified via the graphical user interface.

Abstract: A device may receive, from a point-of-sale (POS) device, transaction data associated with a transaction between a customer and a merchant associated with the POS device. The device may determine a customer email address and other data associated with the transaction, the customer, or the merchant, based on the transaction data and customer data identifying the customer, and may process the customer email address, the other data, and social media data, with a machine learning model, to identify a social media account of the customer. The social media data may include data identifying multiple social media accounts, and the multiple social media accounts may include the social media account of the customer. The device may determine, based on the social media data, whether the social media account of the customer follows the merchant, and may perform actions based on whether the social media account follows the merchant.

Abstract: An automated method is provided for initiating a transaction function in a transaction processing device. The method comprises establishing near field communication between the transaction processing device and an NFC transmitting device having an associated tag identifier and receiving NFC information including the tag identifier. The transaction processing device transmits the NFC information to a merchant processor and receives from the merchant processor a tag rule communication including an instruction to carry out a transaction function associated with the tag identifier or a request to associate a new transaction function with the tag identifier. Responsive to receiving an instruction to carry out a transaction function associated with the tag identifier, the transaction processing device executes the transaction function.

Abstract: A device receives, from a user device, plan information that identifies a plan for an event and includes information identifying an account associated with the plan, plan items of the plan, and priorities and preferences associated with the plan items, where the user device is associated with a user of the account and the plan. The device receives transaction information identifying transactions associated with the account, and processes the plan information and the transaction information, with a first model, to identify transactions related to the plan. The device processes information associated with the particular plan item, the plan information, and the transaction information, with a second model, to determine recommendations for the plan, where the information associated with the particular plan item includes information identifying a priority and a preference associated with the particular plan item. The device provides information indicating the recommendations to the user device.

Abstract: Approaches herein provide a transaction card including an interchangeable ID chip. In some approaches, a transaction card may include a body having a first main side opposite a second main side, a first side opposite a second side, and a first end opposite a second end. The transaction card may further include an insert extending within a cutout section of the body, wherein the cutout section extends towards a center of the body from the first side or the second side, and wherein the insert includes an identification chip.

Abstract: Systems and methods relate to predicting improved operating hours for a merchant. For example, a method may include determining operating hours of a target merchant; identifying one or more merchants other than the target merchant having one or more common characteristics with the target merchant; obtaining transactional data indicating customer transactions at the one or more merchants other than the target merchant; computing an estimate of potential customer transactions at the target merchant during a the period of time not within the operating hours by processing input data including the obtained transactional data using a trained machine learning model to produce the estimate, the estimate being a number or value of consumer transactions missed as a result of the target merchant being closed during the period of time; and transmitting, to the target merchant, information indicating the computed estimate.

Abstract: Example embodiments of systems and methods for creating a chip fraud prevention system with a fraud prevention fluid are provided. A chip fraud prevention system includes a device including a chip. The chip may be at least partially encompassed in a chip pocket which contains a fraud prevention fluid. The fraud prevention fluid may be contained in a capsule or implemented as an adhesive. One or more connections may be communicatively coupled to at least one surface of the chip. The one or more connections may be placed in close proximity and/or in contact to the fraud prevention fluid.