Automated Evaluation of Transaction Plays
In one embodiment, a computer-implemented method comprises generating, using a computer, recommendations of a first group of products of a plurality of products based on past transactions between a plurality of persons and a plurality of entities for the plurality of products, relationships between the persons, relationships between the entities, and relationships between the persons and the entities; generating, using the computer, a score for each recommendation of the plurality of recommendations; and generating, using the computer, a first success indicator of a first selected recommendation based on the score associated with the first selected recommendation.
1 . A computer-implemented method comprising:
generating, using a computer, recommendations of a first group of products of a plurality of products based on past transactions between a plurality of persons and a plurality of entities for the plurality of products, relationships between the persons, relationships between the entities, and relationships between the persons and the entities;
generating, using the computer, a score for each recommendation of the plurality of recommendations; and
generating, using the computer, a first success indicator of a first selected recommendation based on the score associated with the first selected recommendation.
2 . The computer-implemented method of claim 1 wherein generating recommendations includes generating recommendations based on past transactions, contextual influencing factors, and global influencing factors.
3 . The computer-implemented method of claim 1 wherein generating a first success indicator includes generating a first success indicator based on past transactions and global influencing factors.
4 . The computer-implemented method of claim 1 wherein the scores are indicative of a probability of success of the recommendations.
5 . The computer-implemented method of claim 1 wherein the past transactions include won transactions and lost transactions, and wherein generating a score includes generating a score based on win rate.
6 . The computer-implemented method of claim 1 further comprising:
generating, using the computer, a second success indicator of a second selected recommendation based on the score associated with the second selected recommendation; and
displaying, using the computer, the first success indicator, the second success indicator, and the products, people and entities associated with the second recommendation.
7 . The computer-implemented method of claim 1 wherein generating a score for each recommendation includes applying a predictive model to each recommendation to generate a corresponding score.
8 . The computer-implemented method of claim 1 wherein the selected recommendations are sales plays.
9 . A non-transitory computer readable storage medium embodying a computer program for performing a method, said method comprising:
generating, using a computer, recommendations of a first group of products of a plurality of products based on past transactions between a plurality of persons and a plurality of entities for the plurality of products, relationships between the persons, relationships between the entities, and relationships between the persons and the entities;
generating, using the computer, a score for each recommendation of the plurality of recommendations; and
generating, using the computer, a first success indicator of a first selected recommendation based on the score associated with the first selected recommendation.
10 . The non-transitory computer readable storage medium of claim 9 wherein generating recommendations includes generating recommendations based on past transactions, contextual influencing factors, and global influencing factors.
11 . The non-transitory computer readable storage medium of claim 9 wherein generating a first success indicator includes generating a first success indicator based on past transactions and global influencing factors.
12 . The non-transitory computer readable storage medium of claim 9 wherein the scores are indicative of a probability of success of the recommendations.
13 . The non-transitory computer readable storage medium of claim 9 wherein the past transactions include won transactions and lost transactions, and wherein generating a score includes generating a score based on win rate.
14 . The non-transitory computer readable storage medium of claim 9 wherein the method further comprises:
generating, using the computer, a second success indicator of a second selected recommendation based on the score associated with the second selected recommendation; and
displaying, using the computer, the first success indicator, the second success indicator, and the products, people and entities associated with the second recommendation.
15 . The non-transitory computer readable storage medium of claim 9 wherein generating a score for each recommendation includes applying a predictive model to each recommendation to generate a corresponding score.
16 . The non-transitory computer readable storage medium of claim 9 wherein the selected recommendations are sales plays.
17 . A computer system comprising:
one or more processors;
a software program, executable on said computer system, the software program configured to:
generate recommendations of a first group of products of a plurality of products based on past transactions between a plurality of persons and a plurality of entities for the plurality of products, relationships between the persons, relationships between the entities, and relationships between the persons and the entities;
generate a score for each recommendation of the plurality of recommendations; and
generate a first success indicator of a first selected recommendation based on the score associated with the first selected recommendation.