Our recommendation engine is designed to cater to our different applications reducing multiple user interactions and thus directly reducing the process completion time

For example, the recommendation engine does away with user selection of a wide range of system provided fixed parameters.

Users can provide in their own words what they are looking for in a free form text. The recommendation engine exploits the NLP component and provides suggestive selects by processing the free form text.

Users can provide in their own words what they are looking for in a free form text. The recommendation engine exploits the NLP component and provides suggestive selects by processing the free form text.