Labor forecasting is the WFM practice of translating expected demand into required labor hours by interval, role, and location. It starts with workload forecasts, then applies productivity assumptions, shrinkage, service targets, and skill requirements to calculate the staff needed to deliver the desired outcomes. Good labor forecasts are transparent and adjustable, so leaders can test scenarios, understand cost tradeoffs, and align staffing plans with budget constraints. Because forecasts are only as good as their inputs, teams regularly validate results against actuals, refine the drivers that explain variance, and update assumptions when operations change. It guides hiring, cross-training, and overtime planning weeks in advance. This visibility helps leaders time recruiting, training, and budget approvals. This reduces surprise gaps and rush hiring.
Labor forecasting proves its value when staffing decisions become more predictable and cost-effective. The strongest signals are fewer last-minute changes, stable service levels, and tighter labor cost control without sacrificing coverage.
Tracking these metrics together shows whether the forecast improves both cost and customer outcomes and whether planners can trust the model in peak periods.
Consistent ownership and change control reduce churn in the model and build confidence across teams.
Labor forecasting connects demand to staffing in a way that planners can act on quickly. It turns workload curves into headcount requirements, and then into schedule templates or hiring plans. When used consistently, it reduces reactive staffing decisions and keeps labor spend aligned to business goals.
It also improves cross-functional alignment because finance, operations, and frontline leaders share the same staffing assumptions and can coordinate hiring or cross-training plans earlier.