With 70% of U.S. companies facing talent shortages (ManpowerGroup, PwC), businesses are being forced to look beyond conventional hiring models. Hybrid and remote work arrangements have evolved from perks into strategic necessities, enabling access to a broader talent pool unrestricted by geography.
Technology plays a critical role in enabling this flexibility. Collaboration platforms, AI-based scheduling, and cloud-based Workforce Management ools ensure smooth operations across time zones. Features such as flex pools, shift bidding, self-rostering, and temporary staffing integration help organizations build more dynamic, adaptive schedules.
Companies that embrace these models are better positioned to attract and retain top talent, especially those who prioritize autonomy and work-life balance.
Only 33% of employees are engaged at work globally (Gallup), while 87% expect their employer to support a healthy work-life balance (Glassdoor). In a competitive labor market, retaining skilled employees has never been more critical.
Organizations are responding by enhancing well-being initiatives, introducing mental health support, and offering personalized benefits. These efforts help build loyalty, reduce turnover, and increase workforce resilience.
Modern Workforce Management solutions play a key role here by empowering employees through intuitive mobile apps. Features like self-scheduling, shift swapping, and availability input give employees more control over their time. Clear communication around schedules, pay, and company updates, combined with built-in chat or support features, strengthens the employee experience and overall engagement.
With the pace of change in technology and business demands accelerating, the gap between available skills and actual needs continues to grow. In response, organizations are adopting skills-first strategies that focus on competencies over credentials.
According to Gartner, 44% of HR leaders are increasing investment in skills-based talent strategies. This includes:
For Workforce Management systems, this means accurate skill tagging, intelligent workstation assignment, and dynamic team composition based on competencies—not just availability—are becoming essential.
As these trends converge, the need for advanced WFM technology is more urgent than ever. New generations of tools are leveraging AI to automate and optimize:
Additionally, WFM platforms are enhancing employee experience with conversational interfaces, flexible planning options, and tools to capture employee feedback. Gartner predicts that by 2030, AI-powered skills management will be a core function of every workforce scheduling platform.
In an era defined by workforce scarcity, the organizations that thrive will be those that adapt quickly, empower their people, and build agility into every level of operations.
Workforce management solutions like ORTEC Workforce Scheduling help organizations meet these challenges head-on—optimizing staffing, supporting flexible work, enabling skills-based planning, and driving efficiency through AI.
Now is the time for organizations to critically assess their current Workforce Management capabilities. Do your systems support flexible scheduling, employee engagement, and skill-based deployment? If not, the opportunity is clear: mathematics and AI offer powerful tools to overcome today’s workforce challenges and build a future-ready organization.
Contact us for a closer look at our workforce scheduling solutions.
Talent scarcity is one of the most pressing challenges for organizations across the United States. With shifting demographics, evolving skill demands, and changing employee expectations, traditional workforce management models are under pressure. To remain competitive, companies are rethinking their approach—embracing flexible work models, skills-based and agile talent management, and a stronger focus on employee well-being. At the heart of this transformation are workforce management (WFM) tools that increasingly rely on artificial intelligence (AI) to enhance efficiency and reduce administrative workloads.
An article written by Professor Goos Kant, Industy Leader Workforce at ORTEC & Professor Logistic Optimization at Tilburg University and JADS