Methods, non-transitory computer readable media, and natural language understanding (NLU) service device are disclosed that receive raw requests for price quotes for financial instruments from two or more different types of communication channels and via one or more communication networks. The raw requests are in two or more different formats and comprise unstructured data. The unstructured data of the raw requests is analyzed to identify key value(s) associated with the raw requests. The raw requests are then automatically transformed based on the identified key value(s) into price quote request(s) comprising structured data in particular format(s) required by pricing application(s) hosted by pricing server device(s). The price quote request(s) are output to one or more of the pricing application(s) via another one or more communication networks in order to facilitate automated pricing of the financial instruments.