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In the rapidly evolving world of workforce management (WFM), AI-driven technologies are transforming operations, paving the way for more strategic, efficient and flexible resource management. As we navigate the complexities of the AI era, it’s crucial to understand how these advancements are reshaping the roles of workforce management professionals — and meeting the demands of a changing workforce.
Traditionally, workforce management has been a time-consuming and sometimes manual process, often plagued by inefficiencies and errors. Planners, forecasters and schedulers face the daunting task of creating optimal schedules that balance employees’ needs with business goals.
Supervisors struggle to manage unexpected scheduling conflicts and maintain service-level compliance. Agents often lack the flexibility to control their schedules, leading to dissatisfaction and increased stress.
Add to this the fact that the workforce itself is changing. Younger generations prioritise work-life balance and seek flexible work arrangements, while the new economy introduces a more dynamic approach to employment. These trends demand a more adaptable and personalised business strategy to workforce management. And that’s challenging traditional methods and tools.
AI-driven solutions automate employee scheduling processes, providing real-time data insights and enabling more flexible work arrangements. These advanced tools transform workforce management roles — from administrative tasks to strategic workforce planning and decision-making. By leveraging AI tools, businesses can optimise resource allocation, enhance operational efficiency and meet the evolving demands of the workforce.
An AI-powered workforce management solution allows companies to meet the demands of a shifting workforce and prepare for future changes. The Genesys Cloud™ Workforce Engagement Management (WEM) solution leverages predictive and prescriptive AI for forecasting and scheduling as well as real-time data analysis to provide insights that teams can use to optimise staffing, align resources with business goals and drive overall business growth.
The activity planner automates the scheduling of recurring and ad hoc activities, optimising resource allocation and ensuring alignment with service objectives. System-generated alternative shift trades offer agents the flexibility they need while minimising scheduling conflicts.
Allowing employees to bid on work plans that align with their preferences and availability enhances job satisfaction and engagement. Ultimately, you have a more motivated and adaptable workforce. And that drives business value.
For workforce management professionals, these solutions are vital for maintaining efficiency and meeting service goals. They empower managers and supervisors to handle schedules, create bid processes and shift trade with the system, as needed.
By reducing reprocessing and workload strain, these technologies allow professionals to focus on strategic initiatives that enhance productivity and efficiency. This shift not only improves their work but also streamlines processes, resulting in a more effective and agile workforce management strategy.
The roles of planners, forecasters, schedulers, supervisors and agents have traditionally been rooted in manual processes that often required significant time and effort to ensure efficiency and compliance. These roles are crucial to the success of workforce management.
However, as customer expectations and operational complexities have grown, so too has the need for more advanced solutions to assist these teams.
With the introduction of AI, these roles are reaping the benefits of higher process automation, greater real-time data processing and analysis, and predictive and prescriptive capabilities. As these roles evolve, AI becomes the driving factor — providing new ways to manage employees’ schedules with higher flexibility. And the tools offer strategic insights that allow them achieve higher levels of precision and efficiency.
Here are some ways AI enhances each role.
Planners, forecasters and schedulers: AI algorithms and real-time data allow planners to make informed decisions, ensuring activities and shifts are scheduled optimally. This enhances resource allocation and improves overall operational efficiency.
Supervisors: AI-driven shift management tools empower supervisors to handle unexpected scheduling conflicts effortlessly. Automated solutions for shift trades enable supervisors to maintain service level compliance while providing employees with the flexibility they need. This shift from manual processes to automated, AI-driven solutions allows supervisors to focus on strategic oversight and team management.
Agents: AI integration in workforce management offers agents greater flexibility and control over their schedules. AI-driven scheduling tools let agents bid on work plans that fit their preferences and availability. This flexibility is crucial in a changing workforce, where new generations and the gig economy demand more adaptable and personalised work environments. By empowering agents to manage their schedules, businesses can enhance job satisfaction, reduce stress and increase overall engagement.
As we continue to navigate the AI era, the transformation of workforce management is inevitable. The integration of AI-driven tools like Genesys Cloud WEM is revolutionising how businesses manage their resources, providing greater flexibility and control to employees and elevating the roles of workforce management professionals to strategic positions.
Embrace the future of workforce management and experience the benefits of AI-driven solutions that cater to the demands of a changing workforce, enhance overall efficiency and drive strategic growth.
The evolution is here; are you ready to transform your workforce management strategy? For more information, visit Genesys Cloud WEM. And use this checklist to help you assess WEM solutions in the market, ensure stakeholders’ needs are met and then make the best purchasing decision for maximum ROI.
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