VEGA is one of the largest retail chains in Armenia, represented by numerous hypermarkets and a broad geographic presence.
The company operates in the fields of electronics, household goods, furniture, and home solutions.
In an organization of this scale, accurate time attendance tracking, access control, and the digitalization of operational processes are especially important.
To address these needs, facial recognition terminals and the OnTime time attendance management system were implemented with the goal of increasing process automation, ensuring data accuracy, and simplifying human resource management.
With a large number of employees, time management and attendance tracking processes could require additional administrative resources and create challenges in collecting and consolidating reports.
In a multi-branch environment, there was a need for a unified approach to monitoring employee access, attendance, and delays.
There was a need to centralize attendance and workforce data in order to simplify monitoring, improve reporting accuracy, and enable more efficient operational decision-making.
Time attendance monitoring and report preparation processes required a faster and more automated approach.
Modern facial recognition terminals were installed to enable fast, convenient, and highly accurate identity verification and access registration.
The terminals were integrated with the OnTime platform, creating a unified environment for time attendance calculation, attendance monitoring, and data storage.
Management teams gained the ability to monitor attendance data in real time, generate reports, and respond more quickly to operational situations.
Access control and time attendance tracking were transitioned into a unified digital environment, reducing the need for manual intervention.
A preliminary assessment of the facilities was conducted to evaluate employee flow, access points, and system requirements in order to ensure an effective and scalable implementation.
Installation points were selected, the integration logic was developed, and the implementation plan was prepared.
Facial recognition terminals were installed and connected to the OnTime time attendance management system.
Testing and system configuration were carried out to ensure stable performance and accurate data transmission.
The implementation of facial recognition terminals and the OnTime time attendance management system at VEGA became an important step toward a more digitalized and efficient management model.
The solution enabled the automation of time attendance tracking, improved data accuracy, reduced administrative workload, and created a unified and controlled environment for faster and more informed decision-making.