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Feature


WFM And AI: How Artificial


Intelligence Will


Transform Workforce Planning In The Future


By Jim Fleming, WFM Solutions Consultant at Sabio Group As the business landscape continues to evolve, workforce


planning is becoming more complex and dynamic thanks to companies across all industries being tasked with managing increasingly global, diverse, and hybrid workforces. But while the workforce evolves, the methods required for effective workforce planning are still very much in the ‘traditional’ and ‘manual’ phase.


The fact that methods such as data analysis, basic forecasting, and administrative-heavy processes require the need for constant human input means there is a high danger of human mistakes leading to inefficiencies.


However, Artificial Intelligence (AI) is emerging as a


transformative force in this space with the potential and promise of revolutionising how organisations plan, manage, and optimise the workforce. AI has all the tools to drastically change workforce planning by providing deeper insights, improving accuracy in demand forecasting, and offering more efficient ways to allocate resources. In my role as a WFM Solutions Consultant at Sabio Group, an expert


services partner specialising in


CX transformation, I see the potential of AI in every visit or conversation I have with our customers. In this feature,


I’ll


explore how AI could (and in some cases already is) reshaping workforce planning...


AI-driven


How will AI Transform the Planning Process solutions


are enabling organisations to workforce planning processes by automating routine


improve tasks,


providing predictive analytics, and enhancing decision-making capabilities. It’s doing that through a number of different ways;


• Predictive Analytics and Demand Forecasting AI can analyse vast amounts of historical data, such as employee performance, turnover rates, and business demand, to identify patterns and trends. With these insights, AI-driven workforce planning tools can predict future staffing needs with far greater accuracy than traditional methods. For instance, AI can forecast seasonal demand fluctuations or predict workforce shortages based on employee turnover patterns, allowing businesses to adjust their staffing levels in advance.


By providing predictive insights, AI enables organisations to make proactive decisions regarding hiring, training, and resource allocation,


workforce supply and business demand. There will


ultimately leading to better alignment between always be


a need for skilled forecasters and planners to apply operational intelligence (a planning ‘sixth sense’ if you like), however AI can provide a good base forecast on which planning teams can build on.


34 fmuk Firstly, what is Workforce Planning?


This might be an unusual starting spot, but you can’t take for granted that everyone reading this will know what we mean by workforce management and planning.


Workforce planning is the process of ensuring that an organisation has the right number of people, with the right skills, in the right roles, at the right time. It involves forecasting future workforce needs, identifying gaps in the current workforce, and creating strategies to address those gaps. Traditional workforce planning relies heavily on historical data, market trends, and human intuition, but these methods can often be inaccurate or too slow to respond to rapidly changing business needs.


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