Abstract: Transaction periodicity forecasting using a machine learning-trained classifier for increasing a transaction success rate is disclosed. A transaction processing server may receive, through an application programming interface from a remote server, a first transaction request to process a transaction in an interaction between the remote server and a user device. The server may classify the transaction as a recurrent transaction with a machine learning-trained classifier based on one or more periodicities associated with the transaction and other data. The transaction processing server may generate a recurrent flag based on the classifying. The transaction processing server may communicate, through the application programming interface to an issuer host device, a second transaction request comprising the transaction and the recurrent flag for authenticating the transaction at the issuer host device.