Systems as described herein generate an outstanding check alert. An alert generating server may receive transaction records associated with a plurality of checking accounts. The alert generating server may user a first machine learning classifier to determine a transaction pattern indicating a merchant has failed to process outstanding checks for a period of time. The alert generating server may receive sequential check information comprising at least one missing check number associated with a particular checking account. The alert generating server may user a second machine learning classifier to determine at least one outstanding check associated with the particular checking account. The alert generating server may send an alert indicating the at least one outstanding check to a user device.

Described are a system, method, and computer program product for segmenting a plurality of accounts. The method includes processing transaction data for a plurality of transactions conducted by a plurality of accounts using a plurality of account identifiers, the transaction data for each transaction including data identifying the transaction as an electronic transaction or a physical transaction, segmenting the plurality of accounts into at least two groups including an active customer group and an inactive customer group based on the transaction data for each transaction conducted by each of the plurality of accounts, determining a third subset of customers from the second subset of customers based on at least one predicative model and a transaction profile of each customer of the second subset of customers, and automatically enrolling the third subset of customers into an automated campaign.

A method and system are provided for validating a promotional token redeemed at a Point-of-Sale (PoS) terminal, can include receiving, at the Point of Sale (PoS) terminal located at a physical retail location, a promotional token ID from a mobile device associated with a customer. The promotional token ID can be configured to uniquely identify a promotional token to promote a consumer packaged good (CPG) distributed on a social media platform. A CPG is entered at the PoS terminal to determine a CPG ID configured to uniquely identify the CPG. Next, a validation request is generated. The validation request comprises the promotional token ID and the CPG ID. The validation request is then transferred to a server having access to a private blockchain ledger. Upon completion, the PoS terminal will receive, from the server, the redemption status for the promotional token ID based on information stored in the private blockchain ledger responsive to the validation request.

Various examples described herein are directed to systems and methods for processing a payment using a mobile wallet network and issuer. A mobile wallet application provides payment information and an indication if payment may be done directly via the mobile wallet network to a point of sale (POS) terminal. The POS terminal determines which payment network to use. A bill may be sent to the mobile wallet application. The mobile wallet application requests payment authorization from an issuer. The issuer provides the authorization and the transaction is completed between the POS terminal and the mobile wallet application.

In some examples, a computing device receives, from a point of sale (POS) device of a merchant, an authorization request for authorizing a payment instrument for a transaction for an item. The computing device sends an authorization approval to the POS device, and determines that a user is eligible for a loan for an amount and the loan is to be repaid at a particular frequency during a period of time. The computing device determines that an amount of the transaction is less than or equal to the amount, and causes an offer for the loan to be presented via a user interface of a payment application that is executable by a user device of the user. Based on acceptance of the loan, the computing device applies the loan funds to the transaction for the item, and the loan is repaid at the particular frequency.

In some embodiments, a method includes generating, based on distributed ledger data associated with a first distributed ledger-based network (DLN), distributed ledger data associated with a second DLN. The first DLN and the second DLN each is a fork and the distributed ledger data associated with the first DLN include account data associated with a set of accounts. The method includes generating a request to initiate a transaction between a first account and a second account. The method includes authenticating the transaction based on a protocol associated with the second DLN and without using a private cryptographic key of the first account. The method includes sending a signal indicating the transaction was authenticated and storing information associated with the transaction in the distributed ledger data associated with the second DLN.

Methods and systems are provided for crowdsourced funding via a blockchain system. A token contract, associated with a token issuer, is generated on a blockchain system. Tokens are issued to a plurality of token holders. Each of the plurality of token holders is allowed access to a feedback mechanism associated with the token issuer. A performance of the token issuer in an associated field is monitored to provide at least one performance metric. A dividend is paid to each token holder proportional to a number of tokens held by the token holder after a predetermined amount of time based on the at least one performance metric.

A method and system are disclosed in an electronic payment network, for associating a payment card of a cardholder with a personal computing device of the cardholder, then authenticating the payment card in electronic transactions processed in the network. The card and a device activation code are input to the cardholder device by the cardholder, then communicated sent to a remote server for obtaining a card token. The server generates a device token and an authorisation token, stores the generated tokens together with the card token, and sends the card and device tokens to the cardholder device for storage. Whenever a transaction is processed in the network, the payment card is authenticated by inputting authenticating data to the cardholder device for generating an authorisation token, which is sent to the server with the stored card and device tokens, for a matching operation against the card, device and authorisation tokens at the server.

Techniques are described herein for selecting an optimal financial account for a financial transaction. In an embodiment, a multi-account payment card is used to initiate a financial transaction. Transaction information of the financial transaction including a multi-account payment card ID is transmitted to a server for processing. The server determines that the multi-account payment card ID is associated with a plurality of financial accounts, wherein each of the plurality of financial accounts is associated with any one of a credit card, a debit card, an automatic teller machine (ATM) card, a gift card, or a credit line. A financial account of the plurality of financial accounts is selected by the server based on financial account information, such as reward information, associated with the plurality of financial accounts and the transaction information of the financial transaction. The financial transaction is then charged to the selected financial account.

Systems and methods for reducing latency in transactions are described herein. In an embodiment, an application edge acts as a system of record for an application. When a client computing device sends a request to perform a transaction to the application, the application edge receives the request and, without forwarding the request to a backend computing network, searches a transaction datastore stored at the application edge for the account balance and responds to the client computing device with the account balance. The client computing device then determines that a transaction can be performed and sends a request to perform the transaction to the application. The application edge passes this request to the backend computing network which performs the requested transaction. The application edge then uses a webhook infrastructure to update each transaction datastore stored at the application edge.