Client Overview
A leading Indian home furnishing company, operating across multiple locations, was experiencing significant operational challenges due to manual employee tracking systems and outdated infrastructure.
Problem Statement
Problem Statement: Challenges with Manual Attendance Tracking
The organization struggled with the absence of a real-time, automated solution to track employee attendance, entry, and exit data. Their issues included:
- Reliance on manual processes led to frequent inaccuracies and delays
- Security loopholes due to lack of access controls
- Limited ability to scale or monitor data effectively
- Compliance risks stemming from inadequate audit trails
Solution Provided
Solution Provided: Facial Recognition in Workforce Management
Decimal Point Analytics deployed an AI-driven facial recognition solution tailored for attendance automation. The integrated solution featured:
- Machine Learning-powered facial recognition for precise attendance verification
- A centralized data management system to streamline employee records
- Seamless integration with existing security infrastructure for real-time monitoring
- Automated reporting for labor compliance and audit readiness
Outcome
Outcome: AI Automation Delivers 95% Manual Effort Reduction
- 95% reduction in manual tracking efforts through AI automation
- 90% improvement in attendance verification accuracy
- Enhanced access control with real-time alerts and notifications
- Improved employee experience with transparent, data-backed tracking
- Simplified compliance with labor regulations via automated logs
Key Takeaway
Key Takeaway: AI-Powered Attendance System
By leveraging AI and automation, enterprises can not only eliminate inefficiencies but also boost workforce transparency, minimize compliance risks, and future-proof operations at scale.
Ready to move beyond manual tracking? Talk to our experts to explore how facial recognition and AI-based automation can streamline your workforce management and compliance workflows.
