Method and system for automated information management

A computing device configured to implement an execution of a method for facilitating automated information management by using predictive analytics, the computing device comprising:

• a processor;
• a memory;
• and
• a communication interface coupled to each of the processor and the memory, wherein the processor is configured to:
• receive, via a graphical user interface, at least one request, each of the at least one request including a question in a natural language format;
• generate, by using a first model, at least one query based on the question, each of the at least one query corresponding to a stand-alone component of the question;
• identify, from a data repository, at least one data section for each of the at least one query, each of the at least one data section relating to a page in an electronic document;
• determine, by using a second model, contextual information for each of the at least one query from the corresponding at least one data section;
• and
• generate, by using a third model, a response for each of the at least one request based on the at least one query and the corresponding contextual information.

A non-transitory computer readable storage medium storing instructions for facilitating automated information management by using predictive analytics, the storage medium comprising executable code which, when executed by a processor, causes the processor to:

• receive, via a graphical user interface, at least one request, each of the at least one request including a question in a natural language format;
• generate, by using a first model, at least one query based on the question, each of the at least one query corresponding to a stand-alone component of the question;
• identify, from a data repository, at least one data section for each of the at least one query, each of the at least one data section relating to a page in an electronic document;
• determine, by using a second model, contextual information for each of the at least one query from the corresponding at least one data section;
• and
• generate, by using a third model, a response for each of the at least one request based on the at least one query and the corresponding contextual information.