VALIDATION OF TRANSACTION AMOUNT

Systems and methods for validation of transaction amounts with a predictive model are disclosed. An example method may be performed by one or more processors of a system and include retrieving data indicating attributes for each of a plurality of transactions, assigning a label to each of the transactions based on whether an original amount entered changed, defining predictive features suggesting an extent to which final amounts stored for a particular set of similar transactions tend to vary, defining one or more interaction features suggesting a probability of a particular predictive feature value being generated for a transaction having particular attributes, generating, using a machine learning process, an anomaly scoring algorithm based on the predictive features and the one or more interaction features, and training, using the labeled transactions, a predictive model to predict, using the anomaly scoring algorithm, whether an amount entered for a given transaction will be changed.