Smart HR for Smart Enterprises: A Machine Learning-Based Approach to Payroll Automation and Time Optimization

Authors

  • Jayapal R Vummadi Sr. Sap It Analyst. Author
  • Hemanth Volikatla Senior Technical Service Manager. Author
  • Suresh Dodda Technical Lead. Author

DOI:

https://doi.org/10.63282/3050-9262.IJAIDSML-V6I3P113

Keywords:

Machine Learning, Payroll Automation, Time Optimization, Human Resource Management, Smart Enterprises, Reinforcement Learning

Abstract

Contemporary business environments require that the solutions in the field of HR are smart, fast, and eliciting linear growth. Typical approaches to handling Payroll and time management experience various problems, particularly scalability, error-prone, and ineffectiveness. The innovation under discussion is called “Smart HR”, the machine learning-based concept for combining payroll procedures and optimizing the human capital’s working time. This system uses supervised learning approaches for making payroll fraud and error prediction, learning for grouping workforce patterns, and reinforcement learning for scheduling. The hybrid approach has important advantages as it concerns time-saving, cost reduction and accuracy. It is an innovative module incorporating the ability to analyze employee work and attendance patterns and the prior payroll cycles. Furthermore, there is an option for a Time Optimization Module (TOM) that provides intended shift staffing, overtime prediction, and leave planning. The results reported below are from the proposed system for train and testing with data ceded by real-world corporate human resource management systems in various industries. The record reveals a 35% improvement in the payroll processing time, a 90% decrease in the error percentage of payroll, and a 27% improvement in the time-off strategies. Integration is easy with the current ERP and HRIS practices through the Application Programming Interface (API) to avoid the disruption of the working populace. This paper also thoroughly compares traditional rule-based systems and identifies possible ethical issues like privacy and system biases. Therefore, it can be said that machine learning can revolutionise Human Resource management concerning payroll and time management to promote organizational flexibility and employee satisfaction

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Published

2025-08-18

Issue

Section

Articles

How to Cite

1.
Vummadi JR, Volikatla H, Dodda S. Smart HR for Smart Enterprises: A Machine Learning-Based Approach to Payroll Automation and Time Optimization. IJAIDSML [Internet]. 2025 Aug. 18 [cited 2025 Sep. 27];6(3):80-9. Available from: https://ijaidsml.org/index.php/ijaidsml/article/view/274