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The integration of artificial intelligence (AI) and predictive analytics in WFM systems is expected to become more prevalent and will facilitate industry expansion over 2023-2032. These technologies can help organizations forecast staffing needs with greater accuracy, optimize employee scheduling, and identify trends in employee performance. By leveraging AI and analytics, WFM tools can become more proactive and data-driven. Quoting an instance, in March 2023, UJET, Inc., a forward-thinking contact center platform, unveiled UJET WFM in collaboration with Google Cloud.
This workforce management suite, seamlessly integrated into the Google Cloud Contact Center AI Platform, introduces innovative business intelligence solutions for the contact center sector. UJET WFM delivers precise forecasting, scheduling, and real-time adherence monitoring to enhance the performance and satisfaction of remote contact center agents, ultimately elevating the overall customer experience. The improving technological landscape, in line with the increased acceptance of remote and hybrid work models, will drive the demand for WFM solutions to manage hybrid workforces effectively.