Integration of artificial intelligence-based data classification processes with a procurement system to relativize an entity score

A computing system comprising:

• one or more processors;
• one or more non-transitory storage media coupled to the one or more processors and storing instructions that, when executed by the one or more processors, cause:
• generating first actionable output that identifies a particular supplier and an intrinsic score for the particular supplier that is calculated using intrinsic factor data for the particular supplier, wherein the intrinsic factor data is obtained from a plurality of instances of procurement software;
• calculating a set of weights using peer spend data of a set of peer suppliers, wherein the set of peer suppliers is identified based on a product category that is associated with the peer spend data by an artificial intelligence-based process;
• applying the set of weights to a set of intrinsic scores for the set of peer suppliers to produce a set of peer scores, wherein a weight in the set of weights is calculated using the peer spend data;
• aggregating the set of peer scores to produce an aggregate peer score;
• generating second actionable output, wherein the second actionable output replaces or modifies or supplements the first actionable output based on a comparison of the intrinsic score for the particular supplier to the aggregate peer score.

A computer program product comprising instructions embodied in one or more non-transitory storage media which, when executed by one or more processors, cause the one or more processors to perform operations comprising:

• generating first actionable output that identifies a particular supplier and an intrinsic score for the particular supplier that is calculated using intrinsic factor data for the particular supplier, wherein the intrinsic factor data is obtained from a plurality of instances of procurement software;
• calculating a set of weights using peer spend data of a set of peer suppliers, wherein the set of peer suppliers is identified based on a product category that is associated with the peer spend data by an artificial intelligence-based process;
• applying the set of weights to a set of intrinsic scores for the set of peer suppliers to produce a set of peer scores, wherein a weight in the set of weights is calculated using the peer spend data;
• aggregating the set of peer scores to produce an aggregate peer score;
• generating second actionable output, wherein the second actionable output replaces or modifies or supplements the first actionable output based on a comparison of the intrinsic score for the particular supplier to the aggregate peer score.