Automated Employee Time Tracking System for Multi-Shift Workforce

The client faces difficulties in accurately tracking and managing working hours for a workforce exceeding 4,000 employees distributed across various time zones, with constantly changing shifts. The manual process leads to human errors, increased control costs, and delays in generating time lists, impacting operational efficiency.

A large retail enterprise with over 4,000 employees across multiple time zones, requiring efficient and accurate tracking of employee working hours and shift management.

• Reduce manual effort in tracking employee working hours by automating check-in and check-out processes.
• Improve the accuracy of employee time records to minimize human error.
• Decrease costs associated with employee time tracking and management.
• Ensure real-time updates and centralized data collection for each department.
• Support operational autonomy of departments with minimal reliance on centralized control.
• Achieve a measurable reduction in time tracking errors and processing time, aiming for at least a 13% improvement as demonstrated in previous implementations.

• Facial recognition-based employee identification via camera at check-in and check-out points.
• Automatic recording of check-in and checkout times upon employee approach and departure.
• Support for manual mode where an operator can initiate manual identification if needed.
• Centralized data collection per department with autonomous operation capability.
• Real-time data processing and update of employee hours and shift logs.
• Secure storage of raw data and audit trails for compliance and accuracy.
• Configurable system modes to switch between fully automatic and manual operations.

• Existing HR and payroll systems for synchronization of employee data.
• Time management and shift scheduling platforms.
• Central authentication and identity management system for user access control.

• System scalability to support at least 4,000+ employees with potential growth.
• High system availability and uptime, with real-time updates.
• Data security and privacy compliance, especially regarding biometric data.
• Fast processing times to deliver real-time or near real-time updates.
• Robust error handling and manual override capabilities.

The implementation of this automated employee time tracking system is expected to significantly reduce manual workload by over 100 hours, improve data accuracy and reporting, and decrease operational costs related to time management. The system aims to deliver a 13% boost in work experience and enhance real-time data insight, keeping the organization ahead of competitors in operational efficiency.