Transforming Contact Center WFM Through Artificial Intelligence: Implementation and Impact

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.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-01
DOI
https://doi.org/10.5281/zenodo.18749603
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
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article

Transforming Contact Center WFM Through Artificial Intelligence: Implementation and Impact

Vipin Kalra
Zenodo (CERN European Organization for Nuclear Research)
AI and HR Technologies
article

Transforming Contact Center WFM Through Artificial Intelligence: Implementation and Impact

Vipin Kalra
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Openalex Percentile: Top 30%
AI and HR Technologies
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