Dynamic determination of missing fields

A system configured to automatically determine at least one required field in a user interface (UI), comprising:

• a processor;
• and
• a non-transitory memory in communication with the processor and configured to store instructions that, when executed by the processor, cause the processor to perform processing comprising:
• receiving a data submission made through the UI, the data submission including a plurality of fields used to complete a document, wherein the data submission lacks data in at least one blank field provided in the UI for entering information in which no information has been entered;
• classifying the data submission as having at least one data submission type using at least one machine learning (ML) process that evaluates the data submission against training data including a plurality of sample data submissions having one or more filled in fields that include similar information to data input into at least one field of the data submission;
• determining at least one required field for the at least one data submission type based on patterns, indicated in the training data, of observed fields that are usually filled in for sample data submissions of the at least one data submission type, wherein the at least one required field requiring information to be entered therein;
• determining that the at least one blank field is also the at least one required field;
• and
• causing the UI to indicate that the at least one blank field is also the at least one required field.

A method of automatically determining at least one required field in a user interface (UI), comprising:

• receiving, at a processor the processor, training data including a plurality of sample data submissions;
• classifying, by the processor, the training data using at least one machine learning (ML) process;
• storing, by the processor, a result of the classifying as trained data;
• receiving, at the processor, a data submission made through the UI, the data submission including a plurality of fields used to complete a document, wherein the data submission lacks data in at least one blank field provided in the UI for entering information in which no information has been entered;
• classifying, by the processor, the data submission as having at least one data submission type using the at least one ML process that evaluates the data submission against the trained data, wherein the trained data includes a plurality of sample data submissions having one or more filled in fields that include similar information to data input into at least one field of the data submission;
• determining, by the processor, at least one required field for the at least one data submission type based on patterns, indicated in the training data, of observed fields that are usually filled in for sample data submissions of the at least one data submission type, wherein the at least one required field requiring information to be entered therein;
• determining, by the processor, that the at least one blank field is also the at least one required field;
• and
• causing, by the processor, the UI to indicate that the at least one blank field is also the at least one required field.