In the first phase, we build a machine learning model that automates account receivables given a dataset/data. We must understand the data, process the data, execute feature engineering, and train a model to predict account receivables. But usually, clients make a delayed payment. We have to predict the delayed date at which the client will make the payment. I have used several Machine Learning algorithms to predict my target variable.