Automatic selection of request handler using trained classification model

A non-transitory machine-readable storage medium storing instructions that upon execution cause a processor to:

• in response to a receipt of an electronic request comprising a structured data field and an unstructured data field, search a database of previous electronic requests to identify a set of previous electronic requests using the structured data field of the received electronic request, wherein each of the identified set of previous electronic requests satisfies a threshold of similarity with respect to the structured data field of the received electronic request;
• train a classification model using at least one structured data field of the identified set of previous electronic requests;
• execute the trained classification model using the unstructured data field of the received electronic request;
• and
• select a request handler using an output of the trained classification model.

A computer implemented method, comprising:

• receiving an electronic request comprising one or more structured data fields and one or more unstructured data fields;
• in response to a receipt of the electronic request, searching a database of previous electronic requests to identify a set of previous electronic requests using the one or more structured data fields of the received electronic request, wherein each of the identified set of previous electronic requests satisfies a threshold of similarity with respect to the one or more structured data fields of the received electronic request;
• training a probabilistic classification model using at least one structured data field of the identified set of previous electronic requests;
• executing the trained probabilistic classification model using the one or more unstructured data fields of the received electronic request;
• and
• selecting a request handler using an output of the trained probabilistic classification model.