Harness the Power of Analytics for Optimal Labour Forecasting
Fine-Tune Your Workforce to Adapt to Changing Business, Employee and Customer Needs
Historical Data Will Only Get You So Far in Forecasting Labour Demand
The WorkForce Suite offers forecasting capabilities to intelligently predict the optimal required to meet your demand.
Maximise performance with accurate labour forecasts that predict labour demand down to 15-minute intervals and are optimised to meet your goals
Enable fair and predictable rosters that create positive employee experiences by supporting more flexibility, reducing employee burnout and turnover
Minimise overstaffing and unplanned overtime—while preventing errors and diminished productivity due to understaffing—with data-driven labour predictions
Measure labour forecasts against key performance indicators to identify areas of improvement and scale your workforce accordingly
Leverage Data to Fine-Tune Your Business Performance
Adapt to change continuously with analytics and technology that accurately predict your labour needs.
Segment data to fine-tune forecasts by department, area, product line or other variables that help you meet and exceed business requirements and customer expectations
Define labour standards for every group and set minimum and maximum staffing levels for each activity to align with business volumes and staffing needs
Incorporate time standards and time-in-motion data and remove one-off, unpredictable situations from consideration for more precise labour forecasts
Stay on track before isolated situations occur by identifying periods when labour demand may be higher due to variations in promotions, foot traffic, work orders, call volumes or production
WORKFORCE LABOUR FORECASTING: PREDICT DEMAND ACCURATELY WITH THE POWER OF ANALYTICS
GARTNER DETAILS THE “NEW GENERATION” OF WFM IN NEW REPORT
NUCLEUS RESEARCH 2023 WFM
TECHNOLOGY VALUE MATRIX
Ready for Your Personalised Demo?
Experience for yourself why our customers consider the WorkForce Suite the number one choice for making data-informed labour demand decisions.