System and method for the adaptive scheduling of hourly staff to optimize labor cost

A method for the adaptive scheduling of hourly labor cost, the method comprising:

• providing input data in the form of employees and demand in the form of hours and shifts in a defined constraint;
• using a computer processing system to model a predictive schedule based upon the input data and the defined constraints in the form of a generated schedule;
• allowing a manager to edit the generated schedule to create a manager schedule;
• using a computer processing system to compare the manager schedule to the generated schedule for use in future generated schedules by learning implicit manager preferences;
• and
• using a computer processing system to quantify the learning to predict a more efficient generated schedule.

A computer implemented method for the adaptive scheduling of hourly employees to optimize cost and scheduling efficiency, the method comprising the steps of:

• providing input data in the form of an employee and shift and time constraints for the employee;
• using a computer processing system to model a predictive schedule based upon the input data in the form of a generated schedule;
• allowing a manager to edit the generated schedule to create a manager schedule;
• using a computer processing system to compare the manager schedule to the generated schedule;
• using a computer processing system with a neural network to learn and translate based upon the comparison of the generated schedule and manager schedule in future generated schedules;
• and
• using the neural network to quantify the learning to predict a more efficient generated schedule.