Aspects described herein include using proximity technology such as beacon devices or geofences to detect physical presence at a physical location. Presence information may be generated and included in a non-fungible token (NFT). The NFT may be provided to a digital wallet. The identity of an individual associated with the digital wallet may be authenticated. A distributed ledger may record the transaction that provides the NFT to the digital wallet.

In some implementations, a device may receive information indicating that an instrument has been provided by a user to a recipient. The instrument may be associated with a value, and the instrument may be designated for the recipient. The device may determine, using the machine learning model, a prediction of a time of an event associated with the instrument based on the recipient. The event associated with the instrument may result in a reduction of a balance of an account of the user. The device may transmit to another device of the user, a notification indicating the prediction of the time of the event associated with the instrument.

A system may identify, using a machine learning model, a series of recurring events associated with an account and may generate, using the machine learning model, a prediction of a future date on which a predicted event, associated with the series of recurring events, is to occur. The system may determine that a condition associated with the account is satisfied and may determine that a current date is within a threshold number of days of the future date based on the prediction of the future date. The system may transmit, to a user device, a notification based on determining that the current date is within the threshold number of days of the future date and that the condition associated with the account is satisfied, wherein the notification includes information for presentation of an input element that enables an action to be performed in connection with the account.

In an example embodiment, information about one or more failed payment attempts via an electronic payment processing system is obtained. One or more features are extracted from the information. Then, for each of a plurality of potential candidate retry time points, the one or more features and the potential candidate retry time point are fed into a dunning model, the dunning model trained via a machine-learning algorithm to produce a dunning score indicative of a likelihood that a retry attempt at an input retry time point will result in a successful payment processing. The dunning scores for the plurality of potential candidate retry time points are used to select a desired retry time point. Then the electronic payment processing system is caused to attempt to reprocess a payment associated with one of the failed payment attempts at a time matching the desired retry time point.

The invention concerns an architecture comprising: at least one platform of an electronic money institution. The EMI platform being associated with at least one platform of a scriptural money holding establishment. A blockchain to which the EMI platform is connected, the blockchain allowing the EMI platform to create universal electronic money tokens as a function of the amount of scriptural money held by the EMI platform. The invention also allows a user of an EMI to request universal tokens from the EMI platform. The invention also allows the EMI platform to supply a user with universal tokens in response to such a request and allows a user to directly exchange universal tokens with users of the EMI.

A method for analyzing credit score scenarios includes operations of receiving user input from a primary user indicating selection of a future credit score, conducting analytics on a current credit score, the future credit score, account information of the primary user, and secondary variables, to generate instructions that, when implemented, modify the account information of the primary user resulting in modification of the current credit score to the future credit score, and responsive to receiving additional input from the primary user, initiating implementation of one or more of the instructions at least through transmission of a first instruction to destination. The secondary variables may be a result of analyses of anonymized data of second users, and in some instances, indicate that alteration of a first variable within the account information of the primary user will have a greater impact in modifying the current credit score to the future credit score.

Systems and methods for autonomous payment routing are provided. A method may include storing in a smart card a database of contacts accessed from a digital contact directory. The method may include receiving a request to reroute a payment via an alternate payment channel, the payment including a recipient and an amount, and the alternate payment channel originating from an account associated with one of the contacts in the database. The method may also include resolving, via a wireless communication element that is embedded in the smart card, routing information for the account. The method may also include transmitting, to an administrator of the account, a request for authorization to reroute the payment, and, when authorization is received, executing the payment via the alternate payment channel.

A system and method for tiered pricing for any scarce commodity, such as petroleum products or food stuffs, may be used to ration the scarce commodity. The system and method may use a dual currency transaction system to manage the rationing. In the use case for gas or oil as the scarce commodity, the dual currency system and method and the tiered pricing may also reduce carbon emissions into the atmosphere by charging both a monetary price and a carbon price for a product or service wherein the carbon price for each purchasable item (good or service) may correspond to a number of Kg of Co2 emitted by the manufacture/sale/use of the purchasable item.

Distributed ledger cores are disclosed. A method for interacting with a distributed ledger core may include: (1) a distributed banking ledger in a blockchain-based distributed ledger system receiving a transaction request for a transaction from a client system; (2) a smart contract creating a pending transaction; (3) the smart contract sending a posting request for the pending transaction to a ledger interoperability service; (4) the posting generation service generating accounting movements for the transaction; (5) the posting execution service posting the accounting movements and providing posting details to the ledger interoperability service; (6) validating the posting details with a data services module; (7) the smart contract receiving a posting validation complete notification from the posting execution service via the ledger interoperability service; (8) the smart contract settling the transaction on the distributed banking ledger by writing the transaction as a new block to the distributed banking ledger.

A system and method for extending a firm offer of credit without regard to the credit risk profile of the credit applicant is disclosed. Using seller-defined and/or system and method provider configured business rules and related payment computations, the system derives a series of initial payments representing a “down payment.” After the down payment is collected, the goods or services are delivered. The purchaser may elect upfront from a plurality of payment options, including the automatic collection through recurring pre-authorized electronic funds transfers to a deposit account or via authorized and settled credit or debit card authorization(s). A purchaser using either of these options has the option, upon receipt, of the goods or services, to pay the remaining balance through the continuation of electronic funds transfers or, at any point prior to completion of payments using a “one-time authorized amount for the balance due” alternative form of payment like cash, credit or debit card, to pay off the remaining balance.