Artificial Intelligence
TCN Enhances Workforce Management Offering With AI-Powered Features
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ST. GEORGE, Utah, May 19, 2025 /PRNewswire/ -- TCN, a leading provider of cloud-based contact center solutions, today announced significant advancements and the integration of cutting-edge artificial intelligence (AI) into its Workforce Management (WFM) suite. These enhancements empower contact centers to achieve unprecedented levels of efficiency while improving performance and enhancing the customer experience.
TCN's robust WFM solution harnesses the power of AI to deliver intelligent automation, actionable insights for strategic planning and the ability to proactively identify and address staffing challenges, fostering a more engaged and productive workforce.
- AI-Driven Forecasting: By analyzing historical data with advanced algorithms, TCN's WFM accurately forecasts contact volume, allowing managers to meet service goals without overspending on labor. It automates the analysis of past monthly, weekly, daily, and hourly contact patterns- capturing seasonal trends and marketing impacts - to ensure that contact centers consistently have the right staff in the right place to handle every interaction.
- Intelligent Scheduling: The scheduling features go beyond simple automation. WFM Scheduler utilizes advanced computational AI to enhance accuracy in requirement calculations. Scheduler will create shifts that include strategically placed intraday activities (such as breaks and lunches) to ensure optimal staffing levels that reduce caller wait times, improve first call resolution rates and increase overall customer satisfaction.
- Performance Monitoring and Alerts: AI algorithms continuously monitor key performance indicators (KPIs) and provide near real-time alerts to managers when predefined thresholds are met or exceeded. This immediate visibility allows for intervention before service levels (and the customer experience) are significantly impacted.
"TCN is committed to providing our clients with innovative and effective tools to manage their contact center operations," said Heather Jones, Workforce Management SME at TCN. "The integration of AI into our Workforce Management suite is a natural and necessary step as it makes the unprecedented visibility WFM provides accessible to all contact centers, regardless of size or skill level."
TCN's AI-enhanced WFM solution is designed to be intuitive and is seamlessly built into the existing TCN Operator platform. This powerful suite of features empowers contact centers to move beyond reactive management toward a proactive and data-driven approach that drives operational excellence and delivers a competitive edge.
About TCN
TCN is a global leader in cloud-based contact center solutions for accounts receivable management (ARM), healthcare providers, enterprises, contact centers and BPOs. TCN's comprehensive suite includes omnichannel solutions, automation, predictive dialers, IVR, Click2Pay, compliance solutions and real-time analytics, driving operational efficiency and customer satisfaction.
TCN promises immediate access to the latest TCN Operator platform, facilitating seamless scalability. With a commitment to excellence and a dedication to meet evolving business needs from start to finish through industry-leading customer service, TCN continues to redefine the contact center landscape. For further details, visit www.tcn.com.
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SOURCE TCN, Inc.
Frequently Asked Questions
What is TCN's AI-enhanced WFM solution?
TCN's AI-enhanced WFM solution is a suite of features integrated into the TCN Operator platform that uses artificial intelligence to improve contact center efficiency, forecasting accuracy, and customer satisfaction.
How does TCN's WFM use AI for forecasting?
TCN's WFM uses advanced algorithms to analyze historical data and accurately forecast contact volume, enabling managers to optimize staffing levels without overspending on labor.
What benefits does TCN's AI-driven scheduling offer?
TCN's AI-driven scheduling creates shifts with strategically placed intraday activities to reduce caller wait times, improve first call resolution rates, and increase overall customer satisfaction.
First published on Tue, May 20, 2025
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