Monitoring account usage to provide transaction retry notifications

A computerized method for providing transaction retry notifications, the method comprising:

• receiving, by a processor, an insufficient funds message of a first transaction, wherein the insufficient funds message indicates that the first transaction includes a payment to be provided to a merchant from an account and that the account has insufficient funds to provide the payment to the merchant;
• storing, by the processor, an account identifier of the account associated with the first transaction in a monitored account identifier data set;
• detecting, by the processor, a successful transaction message of a second transaction associated with the account based on the stored account identifier in the monitored account identifier data set, the second transaction being initiated after the first transaction;
• upon detecting the successful transaction message, calculating a confidence factor of a retry attempt of the first transaction, wherein the confidence factor indicates a likelihood that the retry attempt will be successful;
• determining that the calculated confidence factor exceeds a confidence threshold;
• upon determining that the calculated confidence factor exceeds the confidence threshold, sending, by the processor, a transaction retry notification to the merchant;
• receiving a retry of the first transaction from the merchant after sending the transaction retry notification;
• and
• training, using a machine learning module comprising a trained regressor that is trained based on merchant feedback indicating whether the retry was successful, an account usage model.

One or more non-transitory computer storage media storing computer-executable instructions for providing transaction retry notifications that, upon execution by a processor, cause the processor to perform operations of:

• receiving an insufficient funds message of a first transaction, wherein the insufficient funds message indicates that the first transaction includes a payment to be provided to a merchant from an account and that the account has insufficient funds to provide the payment to the merchant;
• storing an account identifier of the account associated with the first transaction in a monitored account identifier data set;
• generating an account usage pattern of the account based on historical transaction data associated with the account, wherein the account usage pattern indicates at least a pattern of failed transactions and successful transactions of the account;
• detecting a successful transaction message of a second transaction associated with the account based on the stored account identifier in the monitored account identifier data set;
• based on detecting the successful transaction message, determining a confidence factor based on the generated account usage pattern, wherein the confidence factor indicates a likelihood that a transaction retry of the first transaction will be successful;
• based on the determined confidence factor exceeding a confidence threshold, generating a transaction retry notification that includes the determined confidence factor;
• sending the generated transaction retry notification to the merchant;
• receiving a retry of the first transaction from the merchant after sending the generated transaction retry notification;
• and
• training, using a machine learning module comprising a trained regressor that is trained based on merchant feedback indicating whether the retry was successful, an account usage model.