annual labor cost
reduction achieved
Forecast call and case demand, plan workforce capacity, and track service costs with centralized planning. Leverage statistical forecasting to reduce overstaffed and understaffed periods while optimizing team structure and improving demand accuracy.
Import case-level data, call volumes, and handle times for bottom-up forecasts with statistical engine and business driver adjustments.
Demand forecasting
Develop headcount plans, resourcing strategies, training schedules, and skills matrices to ensure adequate staffing for targets.
Capacity planning
Overlay payroll and GL data to calculate true service costs, compare team efficiency, and identify cost-saving opportunities.
Cost-per-activity tracking
Leverage linear programming to optimize case allocations to most efficient teams based on historical performance and costs.
Allocation optimization
Reduce overstaffed periods with extraneous resources and avoid unnecessary overtime while tracking employee productivity
Forecast peak times to prevent understaffing, enhance customer satisfaction and reduce backlogs
Simulate capacity scenarios to assess the effects of demand changes using various projections.
Streamline data analysis by using a centralized platform instead of complex spreadsheets.
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On Tuesday, 12 May 2026 at 10:00 a.m. BST / 11:00 a.m. CEST, Keyrus and Anaplan are hosting a live session designed for contact center planners who are ready to move beyond spreadsheets.
In the front office, planners are typically optimizing for response times and service levels. In the back office, they are often balancing backlog, case aging, throughput, risk, and labor capacity across multiple stages of work.
Join industry leaders on April 14th at "Keyrus & Friends Madrid" to explore how companies are revolutionizing planning operations with AI.
Have questions about our EPM solutions? Our team is ready to help you find the right approach for your business.
