The Role of AI-Driven HR Analytics in Enhancing Employee Performance and Decision-Making in Retail Industries
DOI:
https://doi.org/10.70184/0n8fjw81Keywords:
AI-driven HR analytics, employee performance, decision-making, retail industry, predictive analytics, workforce planning, HR technologyAbstract
AI-driven HR analytics is reshaping how retail companies understand workforce dynamics, optimize performance, and strengthen strategic decision-making. This study examines the extent to which AI-powered analytical tools support employee performance improvement and managerial decision quality within retail industries. Using a quantitative approach, the research analyzes the relationship between predictive HR analytics, performance monitoring systems, and data-driven HR decision processes. Findings indicate that AI-driven HR analytics significantly enhances the accuracy of performance evaluations, enables proactive identification of skill gaps, and supports more effective workforce planning. Moreover, AI-supported insights help managers make faster and more precise decisions regarding staffing, training, and employee development initiatives. The study concludes that integrating AI-based HR analytics provides substantial value for retail organizations aiming to strengthen competitiveness through improved human resource management practices.
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Copyright (c) 2025 Atsuko S. Inagawa (Author)
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