Abstract: Method and apparatus uses statistical principles to evaluate historical labor performance of an organization and to predict future labor needs. A system may identify patterns based on seasonality and recent performance, as well as identify parametric drivers. Illustrative parametric drivers may include a skill type, a location, and an experience level of a worker. The system may use the parametric drivers to determine and output labor needs. The communicated labor needs may enable leaders to take action to ensure that the right skill is available at the right time and in the right place for their company. The system may couple the prediction of labor needs with a prediction of labor availability to predict shortages and surpluses so that the workforce may be re-skilled or redeployed as needed.

Abstract: Method and apparatus uses statistical principles to evaluate historical labor performance of an organization and to predict future labor needs. A system may identify patterns based on seasonality and recent performance, as well as identify parametric drivers. Illustrative parametric drivers may include a skill type, a location, and an experience level of a worker. The system may use the parametric drivers to determine and output labor needs. The communicated labor needs may enable leaders to take action to ensure that the right skill is available at the right time and in the right place for their company. The system may couple the prediction of labor needs with a prediction of labor availability to predict shortages and surpluses so that the workforce may be re-skilled or redeployed as needed.