Abstract: A system and method for the adaptive scheduling of hourly labor cost through the use of an electronic device to predict a preferred schedule of a workforce. In particular, the computer implemented method of the present disclosure allows for the input of data in the form of employees and demand and utilizes computer processing and machine learning to model a predictive schedule based upon the input data in the form of a generated schedule. By implementing machine learning in the comparison of the generated schedule and a manager generated manager schedule, the computer processing system and method steps can predict a more efficient generated schedule over time.