Abstract: Embodiments may be generally directed to methods, techniques and devices to utilize a contactless card to perform a series of operations.

Abstract: A computer-implemented method for using a machine-learning trained predictive engine to predict failures includes receiving electronic prior transaction data corresponding to a plurality of prior successful transactions and a plurality of prior unsuccessful transactions, and training a machine learning predictive engine based on the plurality of prior successful transactions and the plurality of prior unsuccessful transactions. Electronic transaction data may be received, the electronic transaction data being associated with a user, an item, and candidate transaction terms, the electronic transaction data being associated with a candidate transaction. The machine learning predictive engine may determine a likelihood of success of the candidate transaction based on the electronic transaction data, and display the likelihood of success of the candidate transaction.

Abstract: The present disclosure provides systems and methods for creating and updating vehicle listings using crowdsourced images. An exemplary embodiment of the disclosed systems and methods includes at least one processor and at least one non-transitory computer-readable medium containing instructions. The instructions, when executed by the at least one processor, cause the system to perform operations. The operations include communicating with a listing system to create a listing for a vehicle and receiving, from an identification application executing on a mobile device distinct from the listing system, an identifier for the vehicle and an image of the vehicle. The operations further include identifying the listing using the received identifier, determining one or more parameters associated with an image quality for the received image, and updating the listing for the vehicle to include the received image based on the determined one or more parameters for the received image.

Abstract: A method for facilitating anonymized interactions and/or identifying or validating a user via a virtual number may include: receiving a login request from a user device associated with a user that identifies the user via a virtual number; in response to receiving the login request, determining whether the virtual interaction item number is valid; in response to determining that it is valid: validating the login request; and identifying an entity associated with the virtual number; receiving from the user device, an interaction-completion request; in response to receiving the interaction-completion request, transmitting a user information request to the entity associated with the virtual number; receiving a reply to the user-information request from the entity; and in response to receiving the reply, completing the interaction-completion request using the reply.

Abstract: System and methods for handling on-chain cryptographic resources based on conditions generated responsive to an off-chain trigger. The system may receive a transfer request that includes a resource allocation request, generate a first blockchain function request for a list of contributor identifiers and condition sets, receive the list of contributor identifiers and condition sets, determine a subset of the list of contributor identifiers and condition sets, generate a second blockchain function request, and transmit the second operation request to a blockchain node.

Abstract: A non-transitory computer-readable storage medium storing computer-readable program code executable by a processor to retrieve a customer data record including bill payment activity associated with a provider account for a customer of a financial institution; and define a geographical footprint for the customer. The geographical footprint may be defined by identifying a customer set including the customer from a plurality of customers of a provider of the provider account, having customer records indicating geographic proximity, and determining that a predetermined fraction of the customer set are associated with a common billing cycle for the provider. The computer-readable program code may be executable by the processor to send a bill payment alert for transmission to the customer via electronic communication or telephonic communication, when the bill payment activity meets a threshold condition, wherein the threshold condition is determined at least in part by the geographical footprint.

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: In some embodiments, a shared presentation, which includes a set of spatial regions, is transmitted to user devices associated with users. Then, based on a user input indicating a first spatial region of the shared presentation for a first user, first auxiliary data (e.g., auxiliary video stream of the shared presentation) that corresponds to the first spatial region is generated. Moreover, based on the user input indicating the first user, a first user device associated with the first user is caused to display the first spatial region at a first time without displaying one or more other spatial regions of the set of spatial regions at the first time. As an example, the first auxiliary data is transmitted to the first user device, which causes the first user device to display the first spatial region without displaying the other spatial regions.

Abstract: Systems and methods for external account authentication are disclosed herein. They include receiving a call to pair the external account with a secure account, extracting external data from the external account, the external data corresponding to external account content, providing user activity data from the secure account as an input to an authentication machine learning model, providing the external data as an input to the authentication machine learning model, the authentication machine learning model configured to output a certainty level that the external account is associated with a user of the secure account based on the external data and the activity data, receiving the certainty level from the authentication machine learning model, determining that the certainty level meets a certainty threshold, and pairing the external account with the secure account based on determining that the certainty level meets the certainty threshold.

Abstract: Disclosed herein are system, method, and computer program product embodiments for providing secure access to a locker of a locker system based on a token that includes token data and a message authentication code (MAC) to authenticate the token data. The token data includes at least the unique locker identifier for the locker. The MAC can be generated using a secret key. The secret key can be obtained based on a unique derivation key associated with a master key. The locker system can determine whether the token is valid based on the token data, the MAC, and the secret key. In response to a determination that the token is valid, the locker system can send a signal to unlock the locker.

Abstract: A system and method that facilitates a private transaction is disclosed. The system can retrieve textual information of a webpage containing vehicle sale related information for a vehicle listed for sale by an individual. Using a natural language processing (NLP) model, the textual information may be analyzed to extract vehicle sale related information for the vehicle. The system can compare the vehicle sale related information to known parameters for the vehicle to verify the authenticity of the vehicle sale related information. Based on verifying the authenticity of the vehicle sale related information, the system can determine whether to approve financing for the vehicle. Based on determining to approve financing for the vehicle, financing terms may be generated for the vehicle. The financing terms may be transmitted to client devices.

Abstract: Systems and methods for executing queries on a bitmap index are disclosed. The system may receive a first data stream from a database and generate a bitmap index based on the first data stream. The system may receive an input selection of one or more data conditions from a user device and generate a Boolean expression based on the input selection. The system may query the bitmap index using the Boolean expression and generate a bitmap vector. The system may output a first data subset represented by the generated bitmap vector to a graphical user interface. The bitmap index may include probabilistic entries, and the system may validate the probabilistic entries by receiving a second data stream, identifying one or more entries correlated to the probabilistic entries, determining a divergence between the identified entries and the probabilistic entries, and updating parameters of a classifier model associated with the probabilistic entries.

Abstract: Systems and methods include providing virtual certification number (VCN) authorizations to an external entity by receiving a plurality of secure entity global authorizations comprising global VCN authorizations and global primary account number (PAN) authorizations, identifying the global VCN authorizations, identifying a subset of the global VCN authorizations, each of the subset of the global VCN authorizations corresponding to an external entity authorization, comparing the subset of global VCN authorizations to previously provided VCN authorizations, to identify an unsent VCN authorization, storing a transmittable unsent VCN authorization based on the unsent VCN authorization, providing an unsent authorization indication to the external entity, receiving, from the external entity, a request for the unsent VCN authorization based on providing the unsent authorization indication to the external entity, and providing the transmittable unsent VCN authorization to the external entity, based on storing the tran

Abstract: Systems and methods of the present disclosure enable intelligent dynamic caching of data by accessing an activity history of historical electronic activity data entries associated with a user account, and utilizing a trained entity relevancy machine learning model to predict a degree of relevance of each entity associated with the historical electronic activity data entries in the activity history based at least in part on model parameters and activity attributes of each electronic activity data entry. A set of relevant entities are determined based at least in part on the degree of relevance of each entity. Pre-cached entities are identified based on pre-cached entity data records cached on the user device, and un-cached relevant entities from the set of relevant entities are identified based on the pre-cached entities. The cache on the user device is updated to cache the un-cached entity data records associated with the un-cached relevant entities.

Abstract: Disclosed herein are systems and methods for a system for authorizing proxy number token requests. The system may comprise a memory storing instructions and at least one processor configured to execute instructions to perform operations. These operations may comprise receiving a first request to use a proxy number token to complete a first action associated with a first entity; authorizing the first request; receiving a second request to use the proxy number token to complete a second action associated with a second entity; determining a modifiable relationship data binding associated with the first and second entities, the modifiable relationship data binding comprising multiple parameters; determining that the second request satisfies the parameters; and authorizing the second request based on a determination that the second request satisfies the parameters.

Abstract: Disclosed are systems and methods for developing a web-based application using micro frontends. A web application architecture system may include a plurality of web servers and a plurality of single page applications. Each one of the plurality of single page applications may be hosted on a single respective one of the plurality of web servers. The web application architecture system may further include one or more shared libraries that are accessed by each of the plurality of single page applications. The one or more shared libraries may include shared interface components for each of the plurality of single page applications such that the plurality of single page applications are a part of a single web-based application. Additionally, the web application architecture system may include a load balancer configured to route traffic to each of the plurality of single page applications.

Abstract: A device may process a message associated with an account to identify a first identifier that identifies a third party. The device may identify a match between the first identifier and transaction information related to an individual associated with the account. The transaction information may include a set of first identifiers that identify a respective set of third parties. The transaction information may facilitate identification of one or more messages that is likely to include account information. The device may tag the message with a second identifier based on the match. The device may receive, from another device, the message based on the message being tagged with the second identifier. The device may process the message to identify the account information related to another account. The device may extract identified account information from the message. The device may perform an action related to extracted account information or the message.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for targeting bid and position for a keyword. For instance, the method may include obtaining information about the keyword, the information about the keyword including observations of value with respect to position for the keyword. The method may further include applying a Gaussian Process Model on the observations to obtain a prediction function and associated uncertainties, the prediction function and the associated uncertainties relating positions to expected values; applying a Thompson sampling reinforcement learning model on the expected values and the positions to obtain a target position; and applying a bid model to the target position to obtain bid information for the keyword. The method may also include transmitting a bid message to a search engine, the bid message including the bid information.

Abstract: Disclosed embodiments may include a system for generating custom content. The system may generate a first webpage comprising first feature(s). The system may transmit the first webpage for display via a graphical user interface (GUI) of a user device. The system may iteratively, until a predetermined threshold is achieved: receive data corresponding to a first user; generate, by an encoder, encoded data based on the data; generate, by a decoder, second feature(s) based on the encoded data; modify the first webpage to generate a second webpage comprising the second feature(s); transmit the second webpage for display via the GUI of the user device; receive user feedback associated with the second webpage; and determine whether the user feedback exceeds the predetermined threshold. Responsive to the predetermined threshold being achieved, the system may transmit the latest version of the second webpage without requesting additional user feedback.

Abstract: A computer-implemented method for demonstrating a personalized automated teller machine (ATM) presentation to a user may include: obtaining transaction data of the user via a device associated with the user; obtaining, via the one or more processors, geographic data of the user based on the transaction data; generating, via the one or more processors, ATM data based on the geographic data of the user; obtaining, via the one or more processors, user feedback data based on the ATM data, wherein the user feedback data comprises a selection of an ATM of the list of the ATMs; transmitting, to the selected ATM of the list of the ATMs, presentation data based on the transaction data and the user feedback data; and demonstrating, via the selected ATM of the list of the ATMs, the personalized ATM presentation to the user based on the presentation data.