AI and automation in workforce planning: Solving the labor shortage puzzle

The Challenge

Retail and hospitality sectors remain among the largest global employers, yet they are grappling with persistent labor shortages. In 2024, the retail industry fulfilled only 49% of its hiring objectives, down from 58% in 2023, while 74% of employers worldwide report difficulty finding skilled talent. Hospitality faces similar headwinds: 65% of hotels report ongoing staffing shortages, despite aggressive pay increases and benefits enhancements ¹.

These shortages are compounded by rising wage pressures, evolving employee expectations for flexibility, and the operational complexity of omnichannel retail and global hospitality networks. Traditional workforce planning methods such as manual scheduling and rigid templates are no longer sufficient.

Why AI and Automation Are Essential

AI and automation are no longer optional; they are strategic imperatives. Retailers and hospitality operators are deploying AI-driven scheduling tools, predictive analytics, and robotics to optimize labor allocation and reduce dependency on manual processes. For example:

• Predictive Scheduling: AI systems forecast staffing needs based on historical sales, traffic patterns, and even weather data, minimizing overstaffing and understaffing.
• Automated Inventory and Task Management: Retail giants like Walmart and Home Depot use AI for real-time inventory tracking and task prioritization, freeing staff for customer-facing roles.
• Self-Service and Robotics: Self-checkout systems and service robots in hotels (such as Hilton’s “Connie” and Japan’s Henn-na Hotel) streamline operations while maintaining service quality ^{2 3}.

The AI services market in retail alone is projected to grow from $5 billion to over $31 billion by 2028, underscoring the scale of investment and adoption².

Impact on Workforce Planning

AI is reshaping workforce planning from headcount-based models to task-based strategies. Instead of asking, “How many people do we need?” organizations now ask, “Which tasks should be automated, and which require human expertise?” This shift enables:

• Dynamic Labor Models: AI-powered platforms allow real-time adjustments to schedules, accommodating demand spikes and employee preferences.
• Enhanced Employee Experience: Digital tools give workers more control over shifts and enable flexible scheduling, which is critical for attracting Gen Z and millennial talent.
• Cost Optimization: Automation reduces labor costs without compromising service quality, a key advantage in sectors where margins are tight⁴.

Balancing Tech and the Human Touch

While automation handles repetitive tasks, the human element remains irreplaceable in delivering personalized service. The most successful organizations blend AI efficiency with empathy-driven roles, ensuring that technology augments rather than replaces human capabilities.

What This Means for Talent Leaders

For talent acquisition and HR leaders, the implications are clear:

• Upskill for Digital Fluency: As 60% of retail workers will require reskilling by 2027, investment in digital literacy and AI-enabled tools is critical.
• Adopt Skills-Based Hiring: Focus on adaptability and tech readiness over traditional credentials.
• Leverage Data for Strategic Planning: Use AI insights to forecast not just staffing needs, but evolving skill requirements.

The Bottom Line

AI and automation are not silver bullets, but they are powerful levers for solving the labor shortage puzzle. Organizations that embrace these technologies thoughtfully, balancing efficiency with employee experience, will not only weather the current talent crunch but also build future-ready workforces.