Systems and methods for harmonized product classification

An apparatus, comprising:

• one or more memories storing processor-executable code;
• and
• one or more processors coupled with the one or more memories and individually or collectively operable to execute the code to cause the apparatus to:
• generate a set of embeddings based on an input dataset;
• apply a deep learning model, a generative artificial intelligence model, or both, to the set of embeddings to produce a prediction set, wherein the prediction set comprises one or more classifications corresponding to the set of embeddings;
• convert the one or more classifications to a first set of similarity metrics;
• determine a second set of similarity metrics based on the set of embeddings using a semantic similarity model;
• generate a third set of similarity metrics based at least in part on an output of the semantic similarity model;
• and
• output a ranked set of predictions corresponding to the input dataset based on the first set of similarity metrics, the second set of similarity metrics, and the third set of similarity metrics.

A non-transitory computer-readable medium having code that, when executed by one or more processors, causes the one or more processors to:

• generate a set of embeddings based on an input dataset;
• apply a deep learning model, a generative artificial intelligence model, or both, to the set of embeddings to produce a prediction set, wherein the prediction set comprises one or more classifications corresponding to the set of embeddings;
• convert the one or more classifications to a first set of similarity metrics;
• determine a second set of similarity metrics based on the set of embeddings using a semantic similarity model;
• generate a third set of similarity metrics based at least in part on an output of the semantic similarity model;
• and
• output a ranked set of predictions corresponding to the input dataset based on the first set of similarity metrics, the second set of similarity metrics, and the third set of similarity metrics.