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The Role of Predictive Analytics in Cloud HR Platforms: A Transformation in Airline Workforce Management

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  • Mayur Kumar Mittapally

    (Independent Researcher, USA)

Abstract

The integration of predictive analytics into cloud-based HR systems is transforming how airlines manage their workforce, shifting from reactive staffing to proactive planning. This article explores how embedded intelligence through machine learning revolutionizes critical airline workforce functions including attrition forecasting, demand planning, and compliance management. Particular attention is given to implementations within SAP SuccessFactors that connect workforce analytics with operational systems to create comprehensive predictive capabilities. The article examines the technical frameworks supporting these implementations, evaluates their impact on operational and financial outcomes, and identifies emerging trends shaping future development. Ethical considerations regarding algorithm-based workforce decisions are addressed alongside practical recommendations for airlines at varying digital maturity levels. The evolution toward human-AI partnership in workforce planning emerges as a central theme, emphasizing the complementary roles of technology and human expertise in optimizing airline workforce management.

Suggested Citation

  • Mayur Kumar Mittapally, 2025. "The Role of Predictive Analytics in Cloud HR Platforms: A Transformation in Airline Workforce Management," Journal of Computer Science and Technology Studies, Al-Kindi Center for Research and Development, vol. 7(11), pages 363-372, October.
    • Handle: RePEc:alk:jcsts0:v:7:y:2025:i:11:id:11366
    DOI: 10.32996/jcsts.2025.7.11.35
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