System and method for electronic interaction recovery via multimodal machine learning models

A computer program product for electronic interaction recovery via multimodal machine learning models, the computer program product comprising at least one non-transitory computer-readable medium having computer-readable program code portions embodied therein, the computer-readable program code portions which when executed by a processing device are configured to cause a processor to perform the following operations:

• receive an attempted electronic interaction from a set of communication channels, wherein the set of communication channels comprises a set of electronic communication records;
• analyze the attempted electronic interaction from the set of communication channels associated with the attempted electronic interaction via a multimodal machine learning model (MLM) to detect a set of potential defects within the attempted electronic interaction, wherein analyzing the attempted electronic interaction from the set of communication channels associated with the attempted electronic interaction via a multimodal machine learning model (MLM) further comprises converting the set of electronic communication records into text-based data and wherein the set of potential defects comprises indicators associated with encountered errors within the attempted electronic interaction;
• and
• trigger a recovery process of the attempted electronic interaction upon identification of the set of potential defects within the attempted electronic interaction.

A computer-implemented method for electronic interaction recovery via multimodal machine learning models, the computer-implemented method comprising:

• receiving an attempted electronic interaction from a set of communication channels, wherein the set of communication channels comprises a set of electronic communication records;
• analyzing the attempted electronic interaction from the set of communication channels associated with the attempted electronic interaction via a multimodal machine learning model (MLM) to detect a set of potential defects within the attempted electronic interaction, wherein analyzing the attempted electronic interaction from the set of communication channels associated with the attempted electronic interaction via a multimodal machine learning model (MLM) further comprises converting the set of electronic communication records into text-based data and wherein the set of potential defects comprises indicators associated with encountered errors within the attempted electronic interaction;
• and
• triggering a recovery process of the attempted electronic interaction upon identification of the set of potential defects within the attempted electronic interaction.