Overview
Find out how NiCE WFM 8.1 leverages artificial intelligence to improve forecast accuracy and elevate workforce management performance. This whitepaper explores how NiCE's AI-powered best-pick feature supports forecasting models—such as Box-Jenkins ARIMA, exponential smoothing, and multilinear seasonal regression—to analyze complex historical data to deliver more precise, adaptable forecasts.
By combining machine learning techniques with practical forecasting methods, NiCE WFM 8.1 enables organizations to plan resources more effectively, reduce overstaffing and understaffing, and respond confidently to demand fluctuations across contact centers and back-office operations.
It also introduces True to Interval (TTI) forecasting, a feature designed for digital channels that maps work to the exact intervals when it occurs, improving visibility and responsiveness.
