Komatsu
Web-Based Human Resource Management System (HRMS)
Problem
Komatsu noticed significant inefficiencies while managing HR operations for all its locations in India.
The lack of a centralized automated system to facilitate crucial HR functions such as payroll processing, leave management, and attendance monitoring was the biggest hurdle.
For self-service scenarios, connecting biometric records from ESSL and ZKTECO devices, as well as calculating payroll components such as overtime, leave deduction, PF, and ESI, manual processes were error-prone, slow, and inconsistent.
Operational productivity concerns were not the only issues of these challenges, employee dissatisfaction, compliance regulations, and law fidelity were equally pressing.
Process & Solution
To meet Komatsu's operational size and compliance requirements, Kavis IT provided a reliable, cloud-based Human Resource Management System (HRMS).
To guarantee precise and automated attendance tracking at all corporate sites, the system included smooth real-time connectivity with ESSL and ZKTECO biometric devices.
An easy-to-use web portal was launched, enabling staff members to effectively handle their overtime, leave, and attendance requests using a self-service interface.
Additionally, the system reduced human labor and error rates by automating payroll computations for all statutory components, including PF and ESI.
The HRMS, which was built on a scalable cloud architecture, gave HR teams useful dashboards for strategic workforce planning while guaranteeing high availability, data security, and labor law compliance.
Impact
The accuracy and operational efficiency of Komatsu's HR operations were significantly increased as a result of the deployment of Kavis IT's HRMS.
Through clear and easily available self-service tools, payroll processing became quicker and error-free, compliance concerns were reduced, and employee satisfaction increased.
Komatsu's HR staff was able to make data-driven decisions and better support organizational growth because of the enhanced data integrity and real-time insights.