APPARATUSES, COMPUTER-IMPLEMENTED METHODS, AND COMPUTER PROGRAM PRODUCTS FOR AUTOMATICALLY SEGREGATING SERVICE CASE RECOMMENDATIONS FOR ASSET MAINTENANCE

Embodiments of the present disclosure provide for improved determination of maintenance actions to be performed for a particular asset. Embodiments automatically segment maintenance suggestions into a remotely performable classification and a non-remotely performable classification, and/or enabling initiation of such maintenance actions accordingly. Some embodiments receiving at least one service case recommendation associated with an asset, applying the at least one service case recommendation to an intelligence machine learning model, the intelligence machine learning model configured to determine a data value indicating a likelihood that each service case recommendation of the at least one service case recommendation is remotely performable, determining, via the data value, at least one remotely performable maintenance suggestion from the at least one service case recommendation, and outputting at least one notification associated with the at least one remotely performable maintenance suggestion to a user associated with remote access of the asset.