
Workforce Management (WFM) is the discipline of forecasting call and contact volume, then scheduling the right number of agents with the right skills at the right times to handle it, without overstaffing or understaffing. It sits at the intersection of operations and people management, and in a contact center it directly determines whether customers wait a few seconds or several minutes for an agent.
Getting the schedule right is only as good as the forecast underneath it. A forecast that’s too conservative leads to long queues and abandoned calls; one that’s too generous means idle agents and wasted labor cost. This is where mathematical models like the Erlang C formula come in, translating a volume forecast into a specific staffing requirement for a target service level.
Many of these forecasting and staffing gaps shrink considerably once a business layers in an AI-powered contact center, since automation absorbs a share of routine volume before it ever needs to be staffed for.

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