Abstract: An exemplary method includes receiving, by a processor, flight information from a computer device associated with an airline identifying a flight and passengers on the flight that purchased flight tickets by utilizing payment cards associated with a card authorizing entity. Passenger food preferences for the flight passengers based at least in part on historical payment card transaction data of the flight passengers is received from a computing device associated with the card authorizing entity based on the flight information. A food inventory available to be serviced on the flight is received. Automatically determining a flight-specific food inventory, to minimize an overall weight of the flight-specific food inventory to be carried by the flight based on the passenger food preferences. Automatically transmitting food packing instructions to a packing-related machine based on the flight-specific food inventory so as to assemble a portion of the flight-specific food inventory.

Abstract: A user device may output an indication of an incoming call from a calling device. The user device may receive a request to screen the incoming call. The user device may analyze a transcription of voice input, received from the calling device, for one or more keywords related to a request for funds. The user device may output one or more input options, which permit a user of the user device to respond to the request for funds, including an input option to transfer funds from a first account associated with the user device to a second account associated with the calling device. The user device may detect a user interaction with the input option to transfer funds from the first account to the second account. The user device may transmit a request that causes funds to be transferred from the first account to the second account.

Abstract: Virtual cards are proactively provisioned for online purchases. Merchant transactions or user browser actions can be analyzed for the existence of a trigger condition such as recurrent merchant transactions or registration on a merchant website, among other things. In response to detecting the trigger condition, a request is sent to a customer for permission to add a virtual card for payment of a merchant online. Subsequently, a request is submitted for the virtual card for the customer from a financial institution in response to permission being granted, where the virtual card is linked to an account of the customer at the financial institution. A browser script can next be executed that adds the virtual card as the primary payment method of a website of the merchant.

Abstract: A browser extension may insert code into a document used to generate a web page. For example, the browser extension may detect that the web page is associated with an entity that is associated with one or more delivery estimates. The browser extension may transmit web page information that identifies the entity associated with the web page and/or a date threshold determined based on user input provided to or stored by the browser extension. The browser extension may receive presentation information that identifies a plurality of delivery estimates for a plurality of entities based on transmitting the web page information. The browser extension may insert the code into the document used to generate the web page based on the presentation information. The code may cause an estimated delivery date and/or an indication of whether the date threshold can be satisfied to be provided for display via the web page.

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: Various embodiments are generally directed to techniques for receiving first video data comprising one or more frames having a scene with a person and perform a facial detection process on the first video data to detect a facial region in each frame having the scene with the person. Embodiments also include generating second video data from the first video data, the second video data to include a blurring effect applied to the facial region detected in the first video data, providing the second video data for display on one or more devices, and receiving a tag indication from at least one of the one or more devices, the tag indication to indicate a portion of the second video data having suspicious activity.

Abstract: An income analysis platform may receive information associated with employment-related activity of a user, wherein the employment-related activity is associated with an employment status of the user. The income analysis platform may analyze, using an employment analysis model, the information to determine the employment status of the user. The income analysis platform may determine, based on the information and using the employment analysis model, that there is a change in the employment status of the user. The income analysis platform may identify, based on the determined change in the employment status of the user, a service associated with a transaction account of the user. The income analysis platform may determine, based on the change in the employment status, that one or more terms of the service are to be adjusted. The income analysis platform may perform an action associated with adjusting the one or more terms of the service.

Abstract: Systems and methods of the present disclosure enable automated identification of restrictions on reversals of data entries by receiving location data from a computing device associated with a user, and utilizing a data profile classification machine learning model to classify a particular data profile according to a data profile classification type based at least in part on a history of data entries associated with the particular data profile when the physical location is within a predetermined proximity of another physical location associated with the particular data profile. A reversal rate of data entries in the history of data entries is determined for the particular data profile. An electronic activity reversal restriction is determined where the reversal rate is below a predetermined value, and a pop-up notification is presented on the computing device notifying the user of the electronic activity reversal restriction of the particular data profile.

Abstract: In some implementations, a device may receive an indication of an item associated with a user and a first entity and may store information associated with the item in a first entry of a first database associated with the user. The device may identify a second entry in a second database associated with the first entity. The second entry may identify one or more documents associated with the item, and the second database may identify documents for a second set of items associated with the first entity. The device may map the first entry to the second entry to enable the one or more documents associated with the item to be associated with the first entry of the first database associated with the user. The device may transmit an indication of at least one document of the one or more documents.

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: 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 one aspect, the present disclosure relates to a method for reducing fraud in computer networks, the method including receiving, from each of a plurality of user devices, a request to block an ad displayed within a web browser installed on the user device, the request comprising image data and a forwarding URL associated with the ad; storing crowdsourced ad blocking data based on the received requests to block ads; receiving a request for a list of blocked ads; generating a list of blocked ads based on analyzing the crowdsourced ad blocking data, wherein analyzing the crowdsourced ad blocking data comprises identifying ads blocked by at least a threshold number of users; and sending the list of blocked ads to a first user device, the first user device comprising a browser extension configured to prevent ads within the list of blocked ads from being rendered in a browser.

Abstract: Methods and systems are disclosed for allowing an electronic purchase upon completion of an exercise goal and/or a physical activity goal. Exercise and/or physical activity goal criteria can be retrieved for a user. Electronic charge approval criteria can be retrieved for the user, the electronic charge approval criteria based on the exercise and/or physical activity goal criteria. It can be determined whether the exercise and/or physical activity goal criteria has been fulfilled using an electronic measurement system, the electronic measurement system measuring motion data and/or heart rate data for the user. A requested electronic charge can be authorized upon a determination that the electronic charge approval criteria for the user has been fulfilled.

Abstract: Systems and method for providing information about a location with image analysis are described herein. The method can include: retrieving, from a user's device, location information, receiving a digital image of an location captured by a digital camera connected to the user's device, analyzing the digital image to detect an identification feature, determining an identify of the location based on the location information and the identification feature, identifying a capture time of day at which the digital image was captured, determining a median rate of traffic at the establish at the identified capture time of day, calculating information based on the median rate of traffic at the capture time of day, the information related to how crowded the location is at the captured time of day, and providing, by a display on the user's device, the information.

Abstract: A biometric heartrate authentication system and method is disclosed that leverages heartrate information collected by heartrate tracking devices to build a heartrate profile for a client. The system further leverages location information collected by existing location information services to determine an activity profile for a client. The activity profile information may be used together with the heartrate profile to generate an expected heartrate range against which a cardholder heartrate may be compared for authentication purposes. Because client heartrate characteristics are generally unique, varying according to the unique activities being performed by the client at any point in time, the system and method thus provide a low cost, non-invasive method for reliably authenticating individuals and securing against fraudulent account accesses.

Abstract: Multifactor authentication techniques described herein may allow a user to submit a recent proof of purchase as a part of a multifactor authentication process to access an account associated with a financial institution. As part of the login process, the user may submit a proof of purchase associated with a transaction. The financial institution may determine information associated with the transaction, such as a merchant associated with the proof of purchase, a time of the transaction, the last four numbers of the transaction card used, a dollar amount, or any combination thereof. If the information matches one or more records in the transaction history of the user's account, the financial institution may authenticate the user and provide access to the account. In this way, the financial institution may leverage transaction history known to the financial institution and the user to authenticate the user.

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: The exemplary embodiments may assist in determining whether a fraud dispute for a payment card transaction is valid or not. The exemplary embodiments enable an agent to access and scan customer messages to attempt to locate messages relating to a payment card transaction in dispute. The exemplary embodiments may process messages such as email messages, instant messages, text messages and the like. The agent may gain remote access to at least some of the customer messages and scan the messages. The scanned content may then be parsed and programmatically processed to locate any messages that are likely relevant to the payment card transaction that is in dispute. For example, the exemplary embodiments may look at messages and attempt to locate any messages that are order confirmation messages, shipping messages or the like for the payment card transaction.

Abstract: In some implementations, a system may receive information that identifies a plurality of locations of a user device. The system may determine, based on the plurality of locations, that the user device is traveling along a route associated with a vehicle. The system may determine route information that indicates a plurality of disembarkation points along the route. The system may determine that reception of location information from the user device has failed, after determining that the user device is traveling along the route. The system may identify a set of disembarkation points based on determining that reception of location information from the user device has failed and based on a most recent location of the user device. The system may determine a disembarkation point, from the set of disembarkation points, to be used as an endpoint of the route.

Abstract: In some implementations, a server may receive, from a first user device, a request to use an encrypted representation of a digital representation of a physical identifier (ID) associated with the user. Accordingly, the server may transmit, to a second user device, a prompt associated with validation of the request, and may receive, from the second user device, a response to the prompt. The server may validate the request using the response to the prompt. The server may transmit, to a first remote server, at least a first portion of the encrypted representation with a request to perform a first action associated with the user. The server may additionally transmit, to a second remote server, at least a second portion of the encrypted representation with a request to perform a second action associated with the user.