Abstract: A computer implemented method, system, and non-transitory computer-readable device usable in a mobile transaction environment. A customer scans a purchasing code (e.g., a quick-response (QR) code) using, for example, a mobile device. The QR code is encoded with a payment configuration ID and a merchant account token associated with bank account information for the merchant. Historical purchases for the customer, are analyzed in real time to alert a customer of potential duplicate purchases through a UI on the mobile device. The user may complete or cancel the current transaction by interacting with the UI.

Abstract: According to an aspect of an embodiment of the present disclosure, a method may include receiving a quick response (QR) code from a computing device, the QR code including a first entity identifier, and analyzing the QR code to determine a request to initiate a data transfer between a first entity associated with the first entity identifier and a second entity, and to determine one or more characteristics associated with the data transfer. The method may also include, based on the one or more characteristics, identifying a first QR code processing flow from multiple QR code processing flows to follow to process the data transfer, and verifying the first entity in the transaction based on the first entity identifier of the QR code and based on the first QR code processing flow. The method may also include processing the data transfer between the second entity and the first entity based on the first QR code processing flow.

Abstract: There are provided systems and methods for edge computing storage nodes based on location and activities for user data separate from cloud computing environments. A service provider, such as an online transaction processor, may provide additional services for to users via edge computing systems and edge computing storage nodes. The service may be for data that may be predictively loaded to the edge computing storage node for a particular location, where the edge computing storage node may reside more locally to the location on a network so that data may be served quicker and with less network resource consumption than providing data from a remote cloud computing storage. The data may be predicted to be needed or useful to the user at the location using a user profile for the user, monitored user activities, and/or one or more machine learning models that predict user behaviors at the location.

Abstract: A computer implemented method, system, and non-transitory computer-readable device that may be used in a remote deposit environment. Upon receiving a user request, based on interactions with the UI, the method implements an electronic deposit of a financial instrument by activating a camera on the client device to generate a live video stream of image data of a field of view of at least one camera, wherein the live video stream includes imagery of at least a portion of each side of the financial instrument. The method continues by extracting data fields based on the formation of image objects on one or more sides of the financial instrument from the live video stream of image data. An EFT conversion of extracted data fields may be processed during or subsequent to the extraction process. A message is sent from a payee to a payor requesting the EFT. Upon acceptance, an EFT to the payee occurs. Upon denial, the remote deposit process is completed.

Abstract: A computer implemented method, system, and non-transitory computer-readable device that may be used in a remote deposit environment. Upon receiving a user request, based on interactions with the UI, the method implements an electronic deposit of a financial instrument by activating a camera on the client device to generate a live video stream of image data of a field of view of at least one camera, wherein the live video stream includes imagery of at least a portion of each side of the financial instrument. The method continues by extracting data fields based on the formation of image objects from one or both sides of the financial instrument from the live video stream of image data. The extracted data fields are converted, based on a payor agreement, into a recurring electronic funds transfer (EFT) schedule for future payments similar to the check.

Abstract: A computer implemented method, system, and non-transitory computer-readable device usable in a mobile transaction environment. A customer scans a purchasing code (e.g., a quick-response (QR) code) using, for example, a mobile device. The QR code is encoded with a payment configuration ID and a merchant account token associated with bank account information for the merchant. Historical purchases for the customer, are analyzed in real time to alert a customer of potential duplicate purchases through a UI on the mobile device. The user may complete or cancel the current transaction by interacting with the UI.

Abstract: According to an aspect of an embodiment of the present disclosure, a method may include receiving a quick response (QR) code from a computing device, the QR code including a first entity identifier, and analyzing the QR code to determine a request to initiate a data transfer between a first entity associated with the first entity identifier and a second entity, and to determine one or more characteristics associated with the data transfer. The method may also include, based on the one or more characteristics, identifying a first QR code processing flow from multiple QR code processing flows to follow to process the data transfer, and verifying the first entity in the transaction based on the first entity identifier of the QR code and based on the first QR code processing flow. The method may also include processing the data transfer between the second entity and the first entity based on the first QR code processing flow.

Abstract: Systems, computer-implemented methods, apparatus, and/or computer program products that can facilitate electronic generation of enhanced, transaction-based QR codes for improved fraud detection are provided. In various aspects, a processor can receive a signal from an electronic beacon of a point-of-sale device, wherein the signal includes information associated with a first merchant. In various instances, in response to receiving the signal from the electronic beacon, the processor can identify a quick response (QR) code from a set of quick response codes that corresponds to the first merchant. In various cases, the processor can render the identified QR code on an electronic display that is scannable by the point-of-sale device, wherein scanning the identified QR code causes the point-of-sale device to transmit the identified QR code and a second merchant identifier to a payment processor.

Abstract: Systems, computer-implemented methods, apparatus, and/or computer program products that can facilitate electronic generation and/or display of enhanced, transaction-based QR codes are provided. In various embodiments, a system can receive, from an electronic beacon of a point-of-sale device, context data characterizing a transaction facilitated by the point-of-sale device. In various instances, the system can generate a quick response (QR) code based on the context data and based on financial instrument data, such that the context data and the financial instrument data are embedded within or correlated to the QR code. In various aspects, the system can visually render the QR code on an electronic display, such that the QR code is scannable by the point-of-sale device.

Abstract: Systems, computer-implemented methods, apparatus, and/or computer program products that can facilitate adaptable QR codes to launch customized experiences are provided. In various embodiments, a system can receive, from a client device, a quick response (QR) code, a client identifier, and location data associated with the client device. In various aspects, the system can identify, from a plurality of merchants, a first merchant that corresponds to the QR code, based on identifying that the first merchant corresponds to the location data. In various instances, the system can identify, from a plurality of client profiles, a first client profile that corresponds to the client identifier. In various cases, the system can identify a digital content based on the first merchant and the first client profile. In various aspects, the system can cause the digital content to be provided to the client device.

Abstract: There are provided systems and methods for edge computing storage nodes based on location and activities for user data separate from cloud computing environments. A service provider, such as an online transaction processor, may provide additional services for to users via edge computing systems and edge computing storage nodes. The service may be for data that may be predictively loaded to the edge computing storage node for a particular location, where the edge computing storage node may reside more locally to the location on a network so that data may be served quicker and with less network resource consumption than providing data from a remote cloud computing storage. The data may be predicted to be needed or useful to the user at the location using a user profile for the user, monitored user activities, and/or one or more machine learning models that predict user behaviors at the location.

Abstract: According to an aspect of an embodiment of the present disclosure, a method may include receiving a quick response (QR) code from a computing device, the QR code including a first entity identifier, and analyzing the QR code to determine a request to initiate a data transfer between a first entity associated with the first entity identifier and a second entity, and to determine one or more characteristics associated with the data transfer. The method may also include, based on the one or more characteristics, identifying a first QR code processing flow from multiple QR code processing flows to follow to process the data transfer, and verifying the first entity in the transaction based on the first entity identifier of the QR code and based on the first QR code processing flow. The method may also include processing the data transfer between the second entity and the first entity based on the first QR code processing flow.

Abstract: There are provided systems and methods for edge computing storage nodes based on location and activities for user data separate from cloud computing environments. A service provider, such as an online transaction processor, may provide additional services for to users via edge computing systems and edge computing storage nodes. The service may be for data that may be predictively loaded to the edge computing storage node for a particular location, where the edge computing storage node may reside more locally to the location on a network so that data may be served quicker and with less network resource consumption than providing data from a remote cloud computing storage. The data may be predicted to be needed or useful to the user at the location using a user profile for the user, monitored user activities, and/or one or more machine learning models that predict user behaviors at the location.

Abstract: There are provided systems and methods for automatic synchronization of a device for transaction processing based on geo-fenced locations. A merchant may geo-fence an area corresponding to the merchant's location where a user may visit to purchase an item. The merchant may provide multiple transaction processing and payment options at the merchant location, including payment applications with a mobile communication device. A payment provider may detect the location of the user and determine that the user's location matches the merchant's location through the geo-fenced area for the merchant. The payment provider may then configure a payment process for the user to utilize at the merchant location using payment mechanisms accepted at the merchant location. Where multiple merchants are located nearby, the payment provider may utilize additional known information for the user to select the most likely merchant for the user.

Abstract: According to an aspect of an embodiment of the present disclosure, a method may include receiving a quick response (QR) code from a computing device, the QR code including a first entity identifier, and analyzing the QR code to determine a request to initiate a data transfer between a first entity associated with the first entity identifier and a second entity, and to determine one or more characteristics associated with the data transfer. The method may also include, based on the one or more characteristics, identifying a first QR code processing flow from multiple QR code processing flows to follow to process the data transfer, and verifying the first entity in the transaction based on the first entity identifier of the QR code and based on the first QR code processing flow. The method may also include processing the data transfer between the second entity and the first entity based on the first QR code processing flow.

Abstract: A system is configured to perform operations that include receiving a purchase request to use a consumer digital wallet account of a user to pay for an item sold by a merchant, the consumer digital wallet account being included as a payment method in a merchant digital wallet account provided by the merchant to the user. The operations further include generating a single-use payment token based on a non-transactable token. Additionally, the operations include transmitting, to an existing card payment network, a card transaction message that includes the single-use payment token, the single-use payment token causing the existing card payment network to route the card transaction message back to the system. The operations also include causing payment to be remitted from the user to the merchant using a payment method included in the consumer digital wallet account.

Abstract: A white label merchant stored value account peer linking/funding system includes a payment service provider database storing associations between different merchants and respective groups of white label merchant stored value accounts. A payment service provider links, in the database, a first user identifier received from a first user device with a first white label merchant stored value account that is included in a first group of white label merchant stored value accounts that are associated with a first merchant in the database. The payment service provider device then receives second user identifiers from the first user device, and links each of the second user identifiers with the first white label merchant stored value account in the database. The payment service provider device then receives respective second user account information from the second user devices and funds the first white label merchant stored value account with respective first funding amounts.

Abstract: Systems/techniques that can facilitate video/animated QR codes are provided. In various aspects, a processor can identify a QR code. In various instances, the processor can decompose the QR code into a static fragment and a plurality of dynamic fragments. The static fragment can be a portion of the QR code that contains sufficient information to facilitate an online transaction, whereas the plurality of dynamic fragments can be a plurality of portions of the QR code that collectively contain sufficient information to facilitate an offline transaction. In various instances, the processor can sequentially render a plurality of frames on an electronic display, where each frame depicts the static fragment and a corresponding one of the plurality of dynamic fragments. Accordingly, a point-of-sale device can facilitate an online transaction by scanning one frame rendered by the processor, and/or can facilitate an offline transaction by scanning all frames rendered by the processor.

Abstract: Systems, computer-implemented methods, apparatus, and/or computer program products that can facilitate adaptable QR codes to launch customized experiences are provided. In various embodiments, a system can receive, from a client device, a quick response (QR) code, a client identifier, and location data associated with the client device. In various aspects, the system can identify, from a plurality of merchants, a first merchant that corresponds to the QR code, based on identifying that the first merchant corresponds to the location data. In various instances, the system can identify, from a plurality of client profiles, a first client profile that corresponds to the client identifier. In various cases, the system can identify a digital content based on the first merchant and the first client profile. In various aspects, the system can cause the digital content to be provided to the client device.

Abstract: There are provided systems and methods for automatic synchronization of a device for transaction processing based on geo-fenced locations. A merchant may geo-fence an area corresponding to the merchant's location where a user may visit to purchase an item. The merchant may provide multiple transaction processing and payment options at the merchant location, including payment applications with a mobile communication device. A payment provider may detect the location of the user and determine that the user's location matches the merchant's location through the geo-fenced area for the merchant. The payment provider may then configure a payment process for the user to utilize at the merchant location using payment mechanisms accepted at the merchant location. Where multiple merchants are located nearby, the payment provider may utilize additional known information for the user to select the most likely merchant for the user.