System and method for dynamic allocation of transaction-bound attributes using machine learning models

A method for dynamically allocating transaction-bound attributes associated with at least one member account by generating a personalized waiting period of the transaction-bound attributes using a machine learning model is provided. The method includes (i) performing a first machine learning (ML) model on a historical transaction dataset, a historical member dataset, and a historical entity dataset, (ii) training a second machine learning model based on correlation and patterns in (a) the predicted transaction dataset, (b) the predicted member dataset, and (c) the predicted entity dataset, (iii) dynamically generating the personalized waiting period for the transaction-bound attributes using the second machine learning model, (iv) dynamically determining, using the second machine learning model, the personalized waiting period for the transaction-bound attributes that are placed in the pending state, and (v) dynamically allocating the transaction-bound attributes associated with at least one member account based on the generated personalized waiting period of the transaction-bound attributes.