Systems, computer program products, and methods are described herein for electronic interaction recovery via multimodal machine learning models. The present disclosure is configured to receive an attempted electronic interaction from a set of communication channels; 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, where 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 via the multimodal MLM.
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What is claimed is: