Forecasting is the process of using AI, historical interaction data to predict future staffing needs so organizations have the right number of employees scheduled to meet customer demand efficiently. It generates projections for weeks, months, or years ahead, informing decisions about hiring, training, and budget allocation, especially for new initiatives, campaigns, or seasonal spikes. Forecasting keeps customer service consistent, operations efficient, and costs optimized.
Reforecasting updates an existing forecast based on real-time data or unexpected changes. While forecasting uses historical data for predictions, workforce management systems monitor live data like call volume and recalibrate when new information—such as demand spikes or outages—becomes available. Reforecasting is essential for responsive workforce management, so leaders can make data-supported decisions that adapt to new challenges.