The disclosed exemplary embodiments include computer-implemented systems, devices, and processes that securely manage transfers of digital assets between computing devices using permissioned distributed ledgers. By way of example, an apparatus may receive, from a first device, a request to transfer a digital asset to a second device and a first digital signature applied to the request. Based on a validation of the first digital signature, the apparatus may approve the request and apply a second digital signature to the request and the first digital signature indicative of the approval of the request by the apparatus. The apparatus may also transmit the request, the first digital signature, and the second digital signature to a computing system, which may validate the first and second digital signatures and perform operations that record the first public key and asset data identifying the digital asset within at least one element of a distributed ledger.

Improvements to existing technologies associated with point-of-sale transactions and merchant ecosystems to, among other things, reduce in-person contact and, in some examples, improve the efficiency at which point-of-sale transactions are completed (i.e., reduce friction) are described. In some examples, such reduced in-person contact and/or improved efficiencies can limit transmission of infectious diseases. As such, techniques described are directed to modifying aspects of point-of-sale transactions such that they occur on different computing devices (e.g., customer computing devices instead of merchant computing devices), are automated, and/or occur at different times than with conventional point-of-sale transactions. Furthermore, in at least one example, techniques described can leverage a distributed, network-based merchant ecosystem—comprising multiple merchant computing devices and/or customer computing devices that are specially configured to communicate with a service provider—to facilitate social distancing, which can reduce in-person contact and, in some examples, improve the efficiency at which point-of-sale transactions are completed.

Improvements to existing technologies associated with point-of-sale transactions and merchant ecosystems to, among other things, reduce in-person contact and, in some examples, improve the efficiency at which point-of-sale transactions are completed (i.e., reduce friction) are described. In some examples, such reduced in-person contact and/or improved efficiencies can limit transmission of infectious diseases. As such, techniques described are directed to modifying aspects of point-of-sale transactions such that they occur on different computing devices (e.g., customer computing devices instead of merchant computing devices), are automated, and/or occur at different times than with conventional point-of-sale transactions. Furthermore, in at least one example, techniques described can leverage a distributed, network-based merchant ecosystem—comprising multiple merchant computing devices and/or customer computing devices that are specially configured to communicate with a service provider—to facilitate social distancing, which can reduce in-person contact and, in some examples, improve the efficiency at which point-of-sale transactions are completed.

A credit card recommendation system for recommending credit cards to a user can be based on the consumer's estimated monthly spend, estimated spend across a plurality of categories, and user credit data. The credit card recommendation system can filter credit cards based on a likelihood of approval for the user. The credit card recommendation can determine a reward valuation and an adjustment valuation by assessing user spend and the characteristics corresponding to the credit card. The credit card recommendation can train a model to score credit cards for users, and apply specific user data to the model to determine a credit card score particular to the user.

A credit card recommendation system for recommending credit cards to a user can be based on the consumer's estimated monthly spend, estimated spend across a plurality of categories, and user credit data. The credit card recommendation system can filter credit cards based on a likelihood of approval for the user. The credit card recommendation can determine a reward valuation and an adjustment valuation by assessing user spend and the characteristics corresponding to the credit card. The credit card recommendation can train a model to score credit cards for users, and apply specific user data to the model to determine a credit card score particular to the user.

A method for determining customer lifetime value using an incentive system to provide for geographically limited rewards earned for transactions includes tracking payment card transactions between enrolled payment cardholders and enrolled merchants, creating a database of rewards eligible transactions, instructing a virtual payment card issuer to apply the rewards amount for each rewards eligible transaction to an account, receiving transaction authorization requests from the virtual payment card issuer corresponding to enrolled cardholders requesting to spend rewards within their corresponding account, if the transaction is occurring within a prescribed geographic area in which rewards can be spent, transmitting an authorization for the virtual card issuer to complete the transaction using the rewards, establishing a cohort of enrolled payment cardholders and associated transaction data, and calculating a custom lifetime value for the enrolled payment cardholders within the cohort, the calculation based on the transaction data acquired by the incentive management system.

A payment integrated loyalty system including a point of sale terminal comprising a card reader, a communication subsystem configured to wirelessly communicate with a payment instrument, and configured to communicate over a network with at least a first and second server. The payment integrated loyalty system includes a processor in communication with the communication subsystem and card reader, configured to receive, through the communication subsystem, a payment instrument identifier associated with the payment instrument, and obtain a fingerprint based on one-way encrypting the payment instrument identifier. The processor is further configured to receive, from the first server via the communication subsystem, a loyalty balance associated with the fingerprint and to complete the financial transaction based on an updated amount based on the loyalty balance.

With an offer server computer system: receiving a first digital image file; receiving a first mapping of product codes to audience segment identifiers; receiving a temporary price reduction offer dataset; mapping a target identifier for an end-user device of a consumer to an audience segment identifier; in response to determining, based on the audience segment identifier, that the TPR offer dataset has a product code and a retailer identifier that map to the audience segment identifier, and an effective date value that includes a current date value, and the retailer identifier corresponds to a retailer location within a specified distance of a then-current location of the end-user computing device: creating and storing a digital offer dataset comprising both the first digital image file and a second digital image file that presents data elements of the TPR offer dataset; causing transmission of the dataset to the end-user device.

A method and system for crediting a reward to an electronic wallet account, wherein an electronic wallet account is pre-established for a user who has a pre-authorized electronic device with an electronic wallet application module, a reward application module and an image processing application module. A table of identifiers associated with a reward is pre-established, and the identifier is encoded in an image to be shown on a product. A registration of the user as a participant in a campaign is pre-established. Identifier information contained in an image captured by the electronic device is received, and it is determined whether the identifier information is in the table of identifiers. The reward associated with the user's electronic wallet account is credited, the identifier is removed from the table of identifiers, and notification of the crediting of the reward is provided.

A system for a product bundle for purchase may include a user device associated with a given user, and a promotional server. The promotional server may obtain historical online browsing data associated with the given user, and obtain historical shopping data associated with the given user. The promotional server may also generate the product bundle based upon the historical shopping data and the historical online browsing data. The product bundle may include complementary products for purchase each having a purchase price associated therewith. The product bundle may have a bundle price that is less than a sum of purchase prices of each of the complementary products. The promotional server may communicate the product bundle and the bundle price to the user device for display thereon, generate a digital promotion redeemable toward the purchase of the product bundle, and communicate the digital promotion to the user device.