| CPC G06Q 40/04 (2013.01) [G06F 16/215 (2019.01); G06F 16/2358 (2019.01); G06F 16/2379 (2019.01); G06Q 20/363 (2013.01); G06Q 20/3674 (2013.01); G06Q 20/389 (2013.01); G06Q 20/401 (2013.01); G06Q 20/42 (2013.01); G06Q 30/0613 (2013.01); G06Q 40/06 (2013.01); G06Q 2220/00 (2013.01)] | 20 Claims |
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1. A computer-implemented method for onboarding asset data into a digital platform, the method comprising:
electronically collecting, via an artificial intelligence module, a pushed first data set into a database, the first data set purportedly, by a user, defining characteristics of an asset;
accessing unique identifiers corresponding to each of a plurality of relevant items within the first data set;
automatically and subsequent to accessing the unique identifiers, utilizing the artificial intelligence module performing an approval/rejection process on the first data set checking the validity of the plurality of relevant items from additional data sources, including:
electronically collecting a pulled second data set into the database using the unique identifiers, the second data set considered as corresponding to the asset based on the unique identifiers;
cross-referencing the first data set with the second data set;
generating first data set validation findings based on results of the cross-referencing;
electronically notifying an administrative entity of the first data set validation findings; and
accessing a first data set rejection/approval decision of the administrative entity; and
automatically, as part of a constant training cycle, training the artificial intelligence module based on the generated first data set validation findings and the accessed first data set rejection/approval decision improving data searching performance and data validating performance of the artificial intelligence module.
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