Abstract: A system and method of compartmentalizing a monetary transaction into at least one of a plurality of electronic envelopes of an account. The method includes: generating at least one trained machine learning (ML) model by training at least one ML model with training data; receiving an indication of a deposit into a bank account of a user; in response to the indication, generating a ML model output by executing one or more of the at least one trained ML model, wherein the ML model output is used to determine an electronic envelope distribution; allocating the amount of the deposit into the at least one electronic envelope of the plurality of electronic envelopes based on the electronic envelope distribution; and sending electronic envelope account information to a client application that is configured to visually display a balance of the at least one electronic envelope based on the electronic envelope account information.