Method for making cognitive bidding decision

A system for a provider to make a cognitive bidding decision comprising:

• a processor and associated memory configured to
• obtain information, including unstructured data, relating to a plurality of deals with a plurality of procuring organizations;
• train a first machine learning prediction model based upon the structured data;
• train a second machine learning prediction model based upon the unstructured data;
• train a combined machine learning model, the combined machine learning model configured to provide a final output based upon at least one of an aggregation of an output of each of the first and second machine learning prediction models and a building of a model based upon the output of each of the first and second machine learning prediction models;
• determine a respective predicted business growth of each procuring organization based upon the information;
• determine a respective predicted growth of provider services for each procuring organization based upon the information;
• determine a respective probability of winning each bid for each deal from each procuring organization;
• determine a respective predicted revenue based upon winning each bid;
• and
• determine whether to submit each bid based upon the respective predicted business growth of each procuring organization, the respective predicted growth of provider services for each procuring organization, the respective probability of winning each bid for each deal from each procuring organization, and the respective predicted revenue;
• wherein one of the respective predicted business growth and the respective predicted growth of provider services is determined based upon the first machine learning prediction model based upon the structured data, the second machine learning prediction model based upon the unstructured data, and the combined machine learning model;
• and
• wherein each respective predicted business growth is one of multiple levels of growth and wherein the first machine learning prediction model generates a prediction percentage for each of the multiple levels of growth.

A non-transitory computer readable medium for a provider to make a cognitive bidding decision, the computer readable medium comprising computer executable instructions which when executed by a processor cause the processor to perform operations comprising:

• obtaining information, including unstructured data, relating to a plurality of deals with a plurality of procuring organizations;
• training a first machine learning prediction model based upon the structured data
• training a second machine learning prediction model based upon the unstructured data;
• training a combined machine learning model, the combined machine learning model configured to provide a final output based upon at least one of an aggregation of an output of each of the first and second machine learning prediction models and a building of a model based upon the output of each of the first and second machine learning prediction models;
• determining a respective predicted business growth of each procuring organization based upon the information;
• determining a respective predicted growth of provider services for each procuring organization based upon the information;
• determining a respective probability of winning each bid for each deal from each procuring organization;
• determining a respective predicted revenue based upon winning each bid;
• and
• determining whether to submit each bid based upon the respective predicted business growth of each procuring organization, the respective predicted growth of provider services for each procuring organization, the respective probability of winning each bid for each deal from each procuring organization, and the respective predicted revenue;
• wherein one of the respective predicted business growth and the respective predicted growth of provider services is determined based upon the first machine learning prediction model based upon the structured data, the second machine learning prediction model based upon the unstructured data, and the combined machine learning model;
• and
• wherein each respective predicted business growth is one of multiple levels of growth and wherein the first machine learning prediction model generates a prediction percentage for each of the multiple levels of growth.