Preventing Proxy and Fraudulent Punch-Ins with Secure Authentication

🤔 Our company records clock-ins and clock-outs via mobile and beacon technology. However, we've recently encountered an issue where employees use spare devices to clock in on behalf of their colleagues. Is there a way to prevent this type of time fraud?

🙆‍♀️ Yes! With Shopl, proxy clock-ins using spare devices are impossible.Shopl offers two powerful authentication methods to prevent fraudulent timekeeping:

✅ 1:1 Device Matching

✅ AI Facial Recognition

Ensure accurate and transparent attendance tracking with Shopl's secure authentication solutions!

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▪︎ Secure Punch-Ins with Reliable Identity Verification

In large organizations or workplaces spread across multiple locations, proxy and fraudulent clock-ins can be a frequent issue. To ensure accurate and transparent attendance tracking, Shopl provides robust identity verification methods.

• 1:1 Device Matching

If an employee attempts to log in from an unregistered device, a warning message appears. If the employee proceeds with the device change, the administrator is notified, and the change is logged.

Even after switching devices, employees must complete AI facial recognition to verify their identity. No facial data is stored—it is used strictly for authentication purposes.

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• AI Facial Verification

With AI-powered facial verification, employees must capture their live facial image when clocking in or out. The system compares it to the registered employee photo, and clock-ins are blocked if the face does not match.

Administrators can review punch-in records with captured facial images and verify whether the employee clocked in at the correct location.

With these two security features, proxy punch-ins are completely prevented in Shopl!

Want even greater accuracy? QR code punch-ins ensure authentication and location accuracy.

▶︎ Learn More: How to Use QR Code Punch-Ins >>

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▪︎ Who Should Use This Feature?

• HR managers concerned about proxy clock-ins
• Companies using beacons or ID cards that may be vulnerable to fraudulent attendance
• Multi-location store managers looking for centralized attendance tracking (Already trusted by Knotted, FILA, BALMUDA, and more! ✨)
• Businesses that want secure attendance tracking without the cost of facial or fingerprint recognition hardware

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▪︎ Frequently Asked Questions (FAQ)

Q. Is facial recognition mandatory?

A. No, it is optional.

Shopl allows you to turn facial recognition on or off as needed. When disabled, punch-ins rely on GPS-based location verification.

However, if proxy clock-ins are a concern, we strongly recommend enabling AI facial recognition for added security.

Q. Who has access to facial recognition data?

A. Only managers and designated leaders, and data can be deleted anytime.

Employees cannot access their own facial recognition records. Only authorized managers can view verification data when necessary. Additionally, managers can permanently delete facial data upon request.

Q. How is facial recognition data stored and secured?

A. It is securely stored on AWS EFS with strict access control.

AWS EFS operates within a private network, preventing any unauthorized external access. Facial recognition data is permanently deleted when removed from the system. Shopl prioritizes data security and privacy, ensuring strict protection of employee information.

Shopl offers a comprehensive workforce management solution, including attendance tracking, shift scheduling, and leave management—all in one place.

Beyond attendance, streamline your operations with bulletin boards, to-do lists, and reports for seamless team collaboration. Start your free trial today and experience accurate attendance tracking with Shopl’s secure authentication!