Machine-learning based record processing systems

A system comprising:

• a computing device, and
• a first database;
• wherein the computing device comprising:
• one or more processors;
• instructions, when executed by the one or more processors, cause the computing device to:
• receive, from a cloud storage device, a trigger command indicating a threshold is satisfied by a quantity of records that have been uploaded from a first database;
• receive, based on the trigger command, the uploaded records comprising, a plurality of source records, from a first database, and a plurality of target records from a second database, wherein the first database is configured to store records of a different format from records in the second database;
• input, based on the trigger command and into a machine learning model, the plurality of source records and the plurality of target records;
• receive, as output from the machine learning model, a selection of a subset of the plurality of source records and a subset of the plurality of target records, wherein the selection is based on:
• determine, for each of the plurality of target records, a distance value between:
• the respective target record, and
• the subset of the plurality of source records;
• rank, based on the distance value of each of the plurality of target records, the plurality of target records;
• select, based on the ranking, the subset of the plurality of target records;
• generate a matched record that indicates a matching between:
• the selected subset of the plurality of target records, and
• the selected subset of the plurality of source records;
• send, to the first database, the matched record;
• and
• update, based on the matched record, the first database by changing a status of the subset of the plurality of source records from unmatched to matched;
• and
• wherein the first database is configured to receive, from the computing device, the matched record.

A non-transitory computer-readable medium storing computer instruction that, when executed by one or more processors, cause performance of actions comprising:

• receiving, by a computing device, from a cloud storage device, a trigger command indicating a threshold is satisfied by a quantity of records that have been uploaded from a first database;
• receiving, by the computing device based on the trigger command, the uploaded records comprising a plurality of source records, from a first database, and a plurality of target records from a second database, wherein the first database is configured to store records of a different format from records in the second database;
• inputting, based on the trigger command and into a machine learning model, the plurality of source records and the plurality of target records;
• receiving, as output from the machine learning model and based on a clustering algorithm, a selection of a subset of the plurality of source records and a subset of the plurality of target records, wherein the selection is based on:
• determining a distance value between each two source records of the subset does not exceed a threshold;
• determining, based on a second machine learning model and for each of the plurality of target records, a distance value between:
• the respective target record, and
• the subset of the plurality of source records;
• ranking, based on the distance value of each of the plurality of target records, the plurality of target records;
• selecting, based on the ranking, the subset of the plurality of target records;
• generating a matched record that indicates a matching between:
• the selected subset of the plurality of target records, and
• the selected subset of the plurality of source records;
• sending, to the first database, the matched record;
• and
• updating, based on the matched record, the first database by changing a status of the subset of the plurality of source records from unmatched to matched.