Abstract: Disclosed is a reconciliation system which implements a two-stage reconciliation process. During a Training Stage, useful features of training data are identified and used to generate a machine learning model. When new data is provided which requires reconciliation, a Classification Stage uses the machine learning model to first aggregate the new data into tranches of candidate matches based on the useful features. Then, records within each tranche may be matched in a much more efficient manner.

Abstract: Disclosed is a reconciliation system which implements a two-stage reconciliation process. During a Training Stage, useful features of training data are identified and used to generate a machine learning model. When new data is provided which requires reconciliation, a Classification Stage uses the machine learning model to first aggregate the new data into tranches of candidate matches based on the useful features. Then, records within each tranche may be matched in a much more efficient manner.