Workforce Management (WFM)
WFM is the set of processes and tools used to forecast contact volumes, schedule agents, track adherence, and optimize staffing levels to meet service level targets while controlling labor costs.
In Depth
Workforce management is one of the most complex challenges in contact center operations. WFM involves forecasting (predicting how many contacts will arrive each interval), scheduling (assigning agents to shifts that match demand curves), intraday management (adjusting in real-time as conditions change), and adherence tracking (ensuring agents follow their schedules). Poor WFM leads to either understaffing (long wait times, SLA breaches, burnout) or overstaffing (wasted labor costs).
AI fundamentally changes the WFM equation by handling a large percentage of contacts automatically, flattening demand curves for human agents, and eliminating the need to staff for volume spikes. With GuruSup, companies can reduce their WFM complexity because AI agents absorb the variable demand, leaving human agents with a more predictable, manageable workload focused on complex cases.
Related Terms
Contact Center as a Service (CCaaS)
CCaaS is a cloud-based customer experience solution that allows companies to run their contact center operations without on-premises infrastructure, paying on a subscription or usage basis.
Blended Agent
A blended agent is a contact center agent who handles multiple communication channels — such as phone, email, chat, and social media — within the same shift, rather than being dedicated to a single channel.
Cost Per Contact
Cost per contact measures the total expense of handling a single customer interaction, including agent labor, technology, overhead, and management costs divided by the total number of contacts handled.
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