Analysis of AI-driven solutions improving forecasting and performance in contact centers, suggesting best practices.
Artificial intelligence (AI) is transforming workforce management (WFM) in contact centers. This article examines how AI-driven WFM solutions leverage machine learning algorithms, predictive analytics and intelligent scheduling to improve forecasting accuracy, schedule optimisation and real-time performance monitoring. It reviews key components such as automated coaching mechanisms and real‑time performance dashboards, and summarises implementation strategies and case studies from early adopters. The paper highlights best practices and discusses challenges related to system integration and change management. Overall, AI-driven WFM can reduce operational costs while enhancing service levels, agent satisfaction and resource utilisation, providing actionable insights for contact center leaders considering AI adoption.
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Vipin Kalra (2024) studied this question.
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