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CommunityWFM’s forecasting solution for contact centers applies AI to quickly analyze historical data, produces recurring, optimized forecasts on call volume and average handle time and auto-generates staffing requirements, publishing results without further user action

August 8, 2025 //  by Finnovate

CommunityWFM, one of the premier contact center workforce management software solutions, announced the debut of their new AI driven automated forecasting solution. The latest release of the extensive capabilities utilizes AI to optimize the forecasting process even further, minimizing work and saving contact centers both time and resources. Also known as AI automated forecasting, this solution views historical data quickly and under an analytics lens to create recurring and optimized forecasts with minimal human involvement. With the first iteration based around call volume and average handle time forecasting, this solution involves only a singular set up experience for the end user. Once the initial configuration has been established, AI and machine learning are leveraged to automatically retrain the models and make predictions, then automatically generate staffing requirements and publish the results. With this technology, an end user of the CommunityWFM product could build a recurring forecast built to their desired parameters that will auto generate every other Friday. The end user only needs to complete the initial set up process and the forecast will be created automatically on their behalf moving forward. The date range can vary in many ways to meet the ever-changing demands of a contact center.

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Category: Channels, Innovation Topics

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