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Vega

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.

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facial recognition terminal

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Ontime system

Problems

Manual or partially automated time attendance tracking processes

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.

Need for transparency in access and attendance control

In a multi-branch environment, there was a need for a unified approach to monitoring employee access, attendance, and delays.

Centralized data management

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.

Reducing the workload of HR and administrative teams

Time attendance monitoring and report preparation processes required a faster and more automated approach.

Solutions

Implementation of facial recognition terminals

Modern facial recognition terminals were installed to enable fast, convenient, and highly accurate identity verification and access registration.

Integration of the OnTime time attendance management system

The terminals were integrated with the OnTime platform, creating a unified environment for time attendance calculation, attendance monitoring, and data storage.

Real-time monitoring and reporting

Management teams gained the ability to monitor attendance data in real time, generate reports, and respond more quickly to operational situations.

Process digitalization

Access control and time attendance tracking were transitioned into a unified digital environment, reducing the need for manual intervention.

Implementation Stages

Initial assessment and requirements analysis

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.

System design

Installation points were selected, the integration logic was developed, and the implementation plan was prepared.

Equipment installation and integration

Facial recognition terminals were installed and connected to the OnTime time attendance management system.

Configuration, testing, and deployment

Testing and system configuration were carried out to ensure stable performance and accurate data transmission.

Conclusion

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.