Evaluating The Effectiveness of Generative AI In Strategic Workforce Planning and Workflow Design: A Case-Based Study Using CHATGPT for Hr Managers

In the rapidly evolving digital economy, Human Resource Management (HRM) is transitioning from a support function to a strategic driver of business success. This study explores the application of Generative Artificial Intelligence (Generative AI), specifically ChatGPT, as a decision-support tool for strategic workforce planning and workflow optimization in an e-commerce context. Employing a simulated case-based methodology, the study examines how an HR Manager interacts with ChatGPT to design a customized organizational structure, conduct job analyses for operations and supply chain roles, develop phased hiring and training roadmaps, and evaluate cost-saving projections through automation. The results demonstrate that ChatGPT is capable of generating detailed, scalable, and industry-aligned workforce plans, offering strategic insights across various HR functions including role structuring, technology integration, and financial modeling. Despite its advantages in speed and scalability, the study underscores the need for human oversight in interpreting and contextualizing AI-generated content. The findings contribute to both theoretical and practical discussions on the human-AI synergy in HRM, providing a conceptual framework for integrating generative AI into workforce development and workflow strategies. This research affirms that while ChatGPT serves as an effective augmentation tool for HR professionals, its outputs must be carefully validated within organizational contexts. The study concludes with implications for AI adoption in strategic HRM and recommendations for future research.