Transmitting proactive notifications based on machine learning model predictions

A method for transmitting proactive notifications based on one or more machine learning predictions, comprising:

• training, by a system a machine learning model based on information included in one or more entries, that are respectively associated with one or more reoccurring events, of historical data;
• identifying, by the system and using the machine learning model, a series of recurring events associated with an account of a user;
• generating, by the system and 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,
• wherein the machine learning model processes a set of entries from the series of recurring events to generate the prediction of the future date on which the predicted event associated with the series of recurring events is to occur;
• determining, by the system, that a condition of the account is satisfied,
• wherein the condition is associated with a status of a card of the account,
• wherein the condition is that a current balance, of the account, is within a threshold amount of a credit limit associated with the account, and
• wherein the threshold amount is based on a predicted amount associated with the predicted event;
• determining, by the system, a threshold number of days based on the condition;
• determining, by the system, that a current date is within the threshold number of days of the future date based on the prediction of the future date;
• transmitting, by the system and to a user device associated with the user, a notification based on determining that the current date is within the threshold number of days of the future date and that the condition of 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,
• receiving, by the system, an indication from the user device based on the information;
• selectively retraining, by the system, the machine learning model;
• and
• performing, by the system, the action based on the indication,
• wherein the action includes one or more of the following:
• cause a transfer to occur to reduce the current balance of the account based on the predicted amount,
• cause the limit associated with the account to be increased,
• cause the user device to load a cancelation webpage, or
• cause one or more card service actions to occur.

A non-transitory computer-readable medium storing a set of instructions for transmitting proactive notifications based on one or more predictions, the set of instructions comprising:

• one or more instructions that, when executed by one or more processors of a system, cause the system to:
• train a machine learning model based on information included in one or more entries, that are respectively associated with one or more reoccurring events, of historical data;
• identify, using the machine learning model, a series of recurring events associated with an account of a user;
• 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,
• wherein the machine learning model processes a set of entries from the series of recurring events to generate the prediction of the future date on which the predicted event associated with the series of recurring events is to occur;
• determine that a condition of the account is satisfied,
• wherein the condition is associated with a status of a card of the account, and
• wherein the condition is that a current balance, associated with the account, is within a threshold amount of a limit associated with the account,
• wherein the threshold amount is based on a predicted amount associated with the predicted event;
• determine a threshold number of days based on the condition;
• determine that a current date is within the threshold number of days of the future date based on the prediction of the future date;
• transmit, to a user device associated with the user, a notification based on determining that the current date is within the threshold number of days of the future date and that the condition of 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,
• wherein the action includes a transfer to reduce the current balance of the account based on the predicted event;
• receive an indication from the user device based on the information;
• selectively retrain the machine learning model;
• and
• perform the action based on the indication,
• wherein the action includes one or more of:
• cause a transfer to occur to reduce the current balance of the account based on the predicted amount,
• cause the limit associated with the account to be increased,
• cause the user device to load a cancelation webpage, or
• cause one or more card service actions to occur.