Utilizing machine learning models to intelligently transmit pre-emptive digital notifications to client devices across computer networks

A non-transitory computer-readable medium storing instructions that, when executed by at least one processor, cause a computer system to:

• determine account features corresponding to a client account of a client;
• generate, from the account features, a digital asset availability prediction indicating a predicted asset availability time of an account asset corresponding to the client account utilizing an availability prediction machine learning model;
• generate, from the account features, a digital intent classification for the client utilizing an intent prediction machine learning model;
• and
• provide, to a client device corresponding to the client account, a pre-emptive digital notification regarding the predicted asset availability time based on the digital asset availability prediction and the digital intent classification.

A system comprising:

• at least one processor;
• and
• at least one non-transitory computer-readable storage medium storing instructions that, when executed by the at least one processor, cause the system to:
• determine account features corresponding to a client account of a client;
• generate, from the account features, a digital asset availability prediction indicating a predicted asset availability time of an account asset corresponding to the client account utilizing an availability prediction machine learning model;
• generate, from the account features, a digital intent classification for the client utilizing an intent prediction machine learning model;
• and
• provide, to a client device corresponding to the client account, a pre-emptive digital notification regarding the predicted asset availability time based on the digital asset availability prediction and the digital intent classification.