Systems and methods for machine-automated classification of website interactions

A system comprising:

• at least one processor and
• a memory coupled to the at least one processor,
• wherein the memory stores:
• a model database including a plurality of models, wherein each model of the plurality of models includes a classification and a level of a set of levels;
• a classification database including classification scores corresponding to an input;
• and
• instructions for execution by the at least one processor and
• wherein the instructions include, in response to receiving a first input from a user device of a user:
• determining, for the first input, a plurality of classification scores for a plurality of classifications by applying the plurality of models to the first input, wherein each model of the plurality of models determines one of the classification scores of the plurality of classification scores;
• storing the plurality of classification scores as associated with the first input in the classification database;
• identifying the first input as within a first classification in response to a first classification score corresponding to the first classification exceeding a first threshold;
• and
• transmitting, for display on an analyst device, the first input based on the first classification to a first analyst queue associated with the first classification.