Artificial intelligence-enabled metadata optimizer

A system for optimizing metadata evaluation rules, the system comprising:

• a rules assessment manager configured to:
• receive at least one metadata including data associated with at least one characteristic of the at least one metadata;
• obtain at least one rule configured to evaluate at least one characteristic of metadata against a predefined criteria;
• associate the at least one rule with the at least one metadata;
• generate a decomposition relationship matrix defining relationships among entities represented in the product management system, wherein:
• each element of the decomposition relationship matrix corresponds to a relationship between a pair of entities and includes a value representing a relationship metric derived from one or more characteristics of the entities, and
• the decomposition relationship matrix encodes hierarchical, dependency, or associative relationships among the entities,
• a recommendation engine configured to:
• receive the associated at least one metadata and at least one rule;
• identify non-compliant metadata from the at least one metadata based on the associated at least one rule based on the associated at least one rule and based at least in part on the decomposition relationship matrix and the structures relationship data representation;
• and
• generate at least one optimization recommendation for the at least one rule associated with the non-compliant metadata based at least in part on the decomposition relationship matrix and the structures relationship data representation;
• wherein the rules assessment manager is further configured to:
• receive a feedback, associated with the decomposition relationship matrix, for the at least one optimization recommendation;
• update at least one value in the decomposition relationship matrix based on the feedback in a self-learning process of the recommendation engine, and
• wherein the system is configured to modify, based on the at least one optimization recommendation, operation of at least one component tool of the product management system.

A method for building decomposition relationships in a product management system, the method comprising:

• receiving a first input including product data defining a first type of product, the first type of product being a commercial product;
• receiving a second input including product data defining a second type of product, the second type of product being a technical product;
• generating a decomposition relationship matrix defining relationships between the first type of product and the second type of product, wherein:
• each element of the decomposition relationship matrix corresponds to a mapping between a characteristic of the first type of product and a characteristic of the second type of product, and
• each element includes a value representing a mapping validity metric;
• determining, based on the mapping validity metric, whether a mapping between the first type of product and the second type of product exists in a database of the product management system;
• validating, in response to a determination that a mapping between the first type of product and the second type of product exists in the database of the product management system, the mapping;
• when the mapping is determined to be valid:
• generating a decomposition relationship between the first type of product and the second type of product based on the mapping;
• and
• when the mapping is determined to be invalid:
• generating a new mapping between the first type of product and the second type of product;
• validating the new mapping to determine whether the new mapping is correct;
• and
• generating the decomposition relationship between the first type of product and the second type of product based on the new mapping when the new mapping is determined to be valid;
• generating, based on the decomposition relationship, a structured product tree data structure defining the first type of product in terms of one or more instances of the second type of product, the structured product tree being usable by the product management system;
• receiving feedback associated with the decomposition relationship;
• updating at least one value in the decomposition relationship matrix based on the feedback in a self-learning process;
• and
• modifying the decomposition relationship between the first type of product and the second type of product, based on the updated decomposition relationship matrix.