US Patent Application 17828377. MACHINE LEARNING ENABLED ENGAGEMENT CONTROLLER simplified abstract
Contents
MACHINE LEARNING ENABLED ENGAGEMENT CONTROLLER
Organization Name
Inventor(s)
Krishna Hindhupur Vijay Sudheendra of Bangalore (IN)
Sandeep Hebbar of Bengaluru (IN)
Nithya Rajagopalan of Bangalore (IN)
David Morel of Nashville TN (US)
MACHINE LEARNING ENABLED ENGAGEMENT CONTROLLER - A simplified explanation of the abstract
This abstract first appeared for US patent application 17828377 titled 'MACHINE LEARNING ENABLED ENGAGEMENT CONTROLLER
Simplified Explanation
The patent application describes a method for evaluating responses from suppliers in a sourcing event using a machine learning model.
- The machine learning model analyzes the terms in the first response to determine a performance metric that indicates how competitive the response is compared to a second response from another supplier.
- The method identifies specific terms in the first response that could be modified to improve its competitiveness.
- A user interface is generated to display recommendations for the first supplier to modify the identified terms in their response.
Original Abstract Submitted
A method may include receiving, from a first supplier, a first response to a sourcing event. A machine learning model to may be applied to determine a performance metric for the first response. The machine learning model being trained to determine, based on the terms included in the first response, the performance metric to indicate a relative competitiveness of the first response and a second response from a second supplier. One or more terms from the first response may be identified, based on an output of the machine learning model, as candidates for modification. A user interface may be generated to display a recommendation for the first supplier to modify the one or more terms of the first response. Related systems and computer program products are also provided.
