Bayesian Workforce Forecasting is a workforce demand forecasting method that employs Bayesian statistical techniques to iteratively update probability estimates of future labor requirements as new data becomes available, distinguishing itself through its incorporation of prior knowledge and uncertainty quantification in predictive inference.