AI-powered WFM forecasting

Understand future staffing needs with AI-based forecasting.

Leverage AI to determine the best algorithm for your forecasting model, ensuring optimal accuracy across all channels, skills, and intervals.

Accelerate forecasting accuracy

Anticipate future staffing needs

Create an effective staffing plan, based on an accurate workload forecast.

Unlock transparency

Leverage smart AI to identify complex historical patterns, and accurately predict future staffing requirements.

Maximize possibilities

Seamlessly coordinate long-term planning with forecasting, for modeling flexibility.

Enhance accuracy for asynchronous work

Accurately account for digital channels and back-office work streams, with True to Interval (TTI).

AI forecasting in WFM

Learn how advanced statistical forecasting can deliver more consistent customer service, while controlling costs through market-leading capabilities.

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Business success, with precise and predictive forecasting

NICE WFM leverages significant investment into AI techniques that are embedded into its core workforce management solution.

AI best pick

AI-generated forecasts adapt to your historical data, enabling more accurate staffing predictions.

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True to Interval

True to Interval calculates the exact time invested in handling any type of interaction, based on when the activity actually occurred.

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Digital channel management

Custom calculations are leveraged for all types of digital channels, and used to accurately predict staffing requirements.

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Back-office forecasting

Automated forecasting of inventory backlog and expiration is used in both blended and dedicated operations.

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“The biggest thing we’re getting from NICE is accuracy. We are saving because the overtime hours that we assign are more precise, and better directed toward when the business actually needs them.”

Matt Howard
Business System Analyst, Fiserv

Fiserv Banks | NICE

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If you would like to know more about our platform or just have additional questions about our products or services, please submit the contact form. For customer support, please visit our support page to log into the Customer Community portal.

AI-powered WFM forecasting: FAQs