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How AI Helped a Manufacturing Unit Measure and Improve Employee Productivity
How AI Helped a Manufacturing Unit Measure and Improve Employee Productivity
By Ragalinks Business Solutions Pvt. Ltd.
The Business Problem
A large auto-component manufacturing MSME in Tamil Nadu, employing over 250 shop-floor workers, faced a growing concern around employee productivity and attendance accuracy at workstations.
While production volumes were rising, efficiency levels and output per employee were inconsistent. Supervisors struggled to monitor who was actually present and engaged on the line, especially across multiple shifts and departments.
The challenges included:
Manual attendance tracking using biometric systems that only captured entry and exit, not active engagement at the workstation.
Low real-time visibility into workforce allocation and utilization.
Difficulty in performance evaluation due to lack of continuous activity monitoring.
Inefficiencies in shift planning and underutilization of labor resources.
As a result, management found it difficult to link labor costs to output, measure true productivity, or identify idle time. They realized that to build a high-performance culture, they needed real-time insights into employee presence, activity, and efficiency without creating discomfort or surveillance anxiety among workers.
That’s when Ragalinks Business Solutions stepped in, collaborating with one of its digital implementation partners specializing in Computer Vision–based AI analytics for workforce monitoring.
The Solution
Ragalinks began by conducting a discovery and workflow mapping exercise to understand shift patterns, work areas, and existing monitoring systems. The objective was to design a solution that would enhance productivity tracking while maintaining worker privacy and trust.
The chosen solution was a Computer Vision–based AI system capable of analyzing live video feeds from existing CCTV cameras to monitor employee presence, movement, and engagement in real time without using facial recognition or intrusive methods.
The solution design included:
Integration with existing CCTV infrastructure across work zones.
AI-powered activity detection models trained to recognize worker presence at designated workstations and detect idle or unmanned stations.
Productivity dashboards showing real-time attendance, workstation occupancy rates, and activity trends.
Shift-level reports and alerts to supervisors when key work areas were understaffed or inactive for set durations.
Data analytics integration with HR and production systems to correlate employee presence with output metrics.
Within six weeks, the system was deployed across two pilot lines. Ragalinks oversaw the implementation governance, change management, and employee sensitization program, ensuring transparency and acceptance.
The Benefits
The impact was immediate and measurable:
Real-time visibility of workforce presence improved by 80%, reducing idle workstation time.
Productivity per employee increased by 25%, driven by better shift utilization.
Supervisors saved 30% of monitoring time, now relying on AI-driven dashboards rather than manual tracking.
Unauthorized absenteeism reduced by 40%, leading to smoother production planning.
Data-driven insights enabled better shift scheduling, manpower optimization, and performance-based incentives.
Employee accountability improved, while maintaining transparency and ethical monitoring standards.
Overall, the company achieved a more disciplined, data-informed, and efficient workforce culture with measurable productivity gains and improved morale through fair performance tracking.
The Ragalinks Perspective
At Ragalinks Business Solutions, we bridge strategy, technology, and people to help MSMEs achieve operational excellence. Through our digital partner ecosystem, we bring AI, IoT, and analytics solutions that make businesses smarter, faster, and more transparent.
This success story highlights how Computer Vision based AI can help MSMEs transform workforce management from guesswork to precision enabling sustainable productivity and measurable growth.
Because the future of efficiency isn’t about working harder it’s about seeing smarter, managing smarter, and growing stronger.
#ArtificialIntelligence #ComputerVision #DigitalTransformation #SmartManufacturing #EmployeeProductivity #WorkforceAnalytics #MSMEGrowth #MSMEIndia #OperationalExcellence #Automation #DataDrivenDecisions #TechForGrowth
#SmartBusiness #ManufacturingInnovation #FutureReadyMSMEs
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