Automating Branch and ATM Data Tracking Across 43 Banks with 80% Fewer Errors

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multiple locations, was experiencing significant operational challenges due to manual employee tracking systems and outdated infrastructure.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: 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: 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
• Acentralized 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: 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: 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.