Jacqueline Reses

This disclosure describes, in part, techniques for automating transfers of funds from a deposit account of a user to a savings account of the user based on historical transaction data associated with the deposit account. Using historical deposits and withdrawals from the deposit account, a prediction may be made regarding deposits to, and withdrawals from, the deposit account that will occur in a future period. Based on that that information and a balance to maintain in the deposit account for… Show more

This disclosure describes, in part, techniques for automating transfers of funds from a deposit account of a user to a savings account of the user based on historical transaction data associated with the deposit account. Using historical deposits and withdrawals from the deposit account, a prediction may be made regarding deposits to, and withdrawals from, the deposit account that will occur in a future period. Based on that that information and a balance to maintain in the deposit account for the duration of the future period, the amount of funds to transfer from the deposit account to the savings account may be determined. The techniques may further include transferring the funds to the savings account once determined. Show less

Provided is a process, including for lending, with a smart contract executable by a decentralized computing platform, money to a borrower. The process includes securing, with the smart contract, the loan by obtaining control of cryptocurrency of the borrower and monitoring, via the smart contract, whether the cryptocurrency satisfies a loan-to-value threshold. In response to the monitoring, an amount of cryptocurrency secured with the loan can be adjusted.

Challenges arise when attempting to borrow against virtual cryptographic assets using many forms of distributed ledger technology. (Much of the discussion that follows is with reference to cryptocurrency, but it should be appreciated that similar approaches are contemplated for other types of virtual cryptographic assets, like utility tokens, nonfungible cryptographic assets (e.g., ERC-721 tokens), and the like.) One challenge is volatility of the price of cryptocurrency. Many types of… Show more

Challenges arise when attempting to borrow against virtual cryptographic assets using many forms of distributed ledger technology. (Much of the discussion that follows is with reference to cryptocurrency, but it should be appreciated that similar approaches are contemplated for other types of virtual cryptographic assets, like utility tokens, nonfungible cryptographic assets (e.g., ERC-721 tokens), and the like.) One challenge is volatility of the price of cryptocurrency. Many types of cryptocurrency fluctuate in value relative to other assets, like government-issued currency, such as the US dollar, or stable coin cryptocurrencies pegged to the value of one or more forms of government-issued currency. Often, these fluctuations are relatively large compared to what is experienced in more typical lending practices. A concern is that a downward fluctuation could leave cryptocurrency collateral worth substantially less than the obligation being secured, reducing (or even eliminating) the lender's protection from default. As a result, many lenders have been unwilling to lend against cryptocurrency (e.g., with the cryptocurrency securing the obligation to repay) because existing forms of distributed ledger technology often do not provide sufficient tools and functionality to manage that volatility over the life of the loan. Further, many forms of distributed ledger technology impose more latency on, and offer less bandwidth to process, transactions than would be preferable, particularly if such systems were ever tasked with processing a material portion of (e.g., more than 2% of) more established forms of off-chain transactions, like credit card transactions. For instance, it has been estimated that the Bitcoin network can process around 7 transactions per second, while credit card transactions are estimated to occur at closer to a rate of 5,000 per second. Show less

This disclosure describes, in part, techniques for enabling a merchant or other user to obtain needed capital by financing the cost of individual items after the merchant or other user has acquired the item(s) using a financial instrument, such as a credit card, debit card, or the like. For example, an example merchant may purchase, through the course of a month or other time period, multiple items for operation of their business using a credit card provided by a financial institution… Show more

This disclosure describes, in part, techniques for enabling a merchant or other user to obtain needed capital by financing the cost of individual items after the merchant or other user has acquired the item(s) using a financial instrument, such as a credit card, debit card, or the like. For example, an example merchant may purchase, through the course of a month or other time period, multiple items for operation of their business using a credit card provided by a financial institution. Thereafter, a service provider may aggregate these purchases and enable the merchant to request to finance individual item(s). In response to receiving such a request, the service provider can solicit offers from an array of lenders. Show less

This disclosure describes, in part, techniques for generating predictive models based on past transaction data and/or future-event data to predict: (i) when an account of user is expected to fall below a minimum balance associated with that user, and/or (ii) when an account has surplus funds that may safely be moved to a higher-yield account for some amount of time. In response to determining a predicted time at which an account is expected to fall below the minimum balance, the techniques may… Show more

This disclosure describes, in part, techniques for generating predictive models based on past transaction data and/or future-event data to predict: (i) when an account of user is expected to fall below a minimum balance associated with that user, and/or (ii) when an account has surplus funds that may safely be moved to a higher-yield account for some amount of time. In response to determining a predicted time at which an account is expected to fall below the minimum balance, the techniques may generate an offer to extend capital to the user prior to the predicted time. In response to determining that a user has or will have surplus funds, the techniques may generate an offer to move some or all of these surplus funds into a separate account providing a higher yield than the primary account of the user. Show less

In one embodiment, a method includes receiving, by a payment service system, a payment request to charge a payment card for a transaction. The payment card is associated with a user account maintained by the payment service system and the user account is configured to apply a different interest rate to each of multiple transactions. The method includes in response to receiving the payment request, identifying, by the payment service system, purchase characteristics of the transaction. The… Show more

In one embodiment, a method includes receiving, by a payment service system, a payment request to charge a payment card for a transaction. The payment card is associated with a user account maintained by the payment service system and the user account is configured to apply a different interest rate to each of multiple transactions. The method includes in response to receiving the payment request, identifying, by the payment service system, purchase characteristics of the transaction. The method includes determining, by the payment service system, an interest rate to be associated with the payment request based on the identified purchase characteristics and historical repayment data stored in a data store of the payment service system. The method includes upon receiving a payment confirmation from the user, updating, by the payment service system, the user account to include the transaction at the determined interest rate. Show less