THE BOTTOM LINE
Organizations that employ hourly workers are under intense pressure to keep operating costs low and productivity high. The ongoing uncertainty of the greater work landscape and economic climate make dedicated WFM solutions a critical means to optimize labor spend while reducing employee turnover and avoiding non-compliance fees. Leaders in this year’s Value Matrix have doubled down on their investments in automation and analytics, specifically in complex scheduling and labor planning. Additionally, many providers have expanded integrations with other systems to minimize manual data entry and draw enhanced employee insights. As doing more with less becomes a staying reality, customers that take advantage of dedicated solutions for WFM will be better positioned to thrive amid
market volatility.
Ongoing challenges in attracting and retaining frontline and hourly employees are now paired with economic uncertainty, pressing organizations to increasingly do more with less. The current environment has further underscored the need for Workforce Management solutions that optimize labor spend and allocation while mitigating unplanned overtime, compliance risk, and employee burnout.
Vendor investment over the past year has continued to focus heavily on AI and Machine Learning, specifically in areas such as labor optimization and complex scheduling. Customers Nucleus interviewed noted that as workforce conditions remain unstable, the ability to configure schedules based on a variety of unique factors is crucial to running operations as leanly as possible without understaffing or breaking compliance with regulations. Many vendors have also announced new or expanded integrations to add
efficiency to processes between WFM, HRIS, and Payroll solutions. Reporting and analytics capabilities that leverage data across these systems can give employers and frontline managers a more complete view of factors that may be contributing to metrics including employee satisfaction, fatigue, and flight risk, and focus efforts accordingly.
This article is posted at infor.com
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