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Barcode-Driven Automation for Apparel Manufacturing Operations

tridhyatech.com

Manufacturing

Retail

Challenges in Manual Manufacturing Processes

The client faced inconsistent product quality due to paper-based quality control, production halts during manual inspections causing equipment inefficiency, and scalability limitations from traditional manufacturing methods requiring extensive operator training.

About the Client

One of India's top apparel manufacturers with 12+ retail outlets and a decade of industry experience seeking digital transformation

Digital Transformation Goals

Automate work order management through barcode technology
Implement real-time quality control without production halts
Improve operational productivity by 40%
Enable scalable manufacturing operations
Integrate predictive maintenance capabilities

Core System Requirements

Barcode integration with work orders and material specifications
Real-time data synchronization between shop floor and web admin panel
Automated quality control checkpoints with deviation alerts
Predictive maintenance dashboard for equipment performance monitoring
Role-based access for operators and managers

Technology Stack

Electron JS

Laravel

MySQL

PHP

Python

System Integrations

Web admin panel integration
Barcode scanner hardware integration
IoT-enabled sewing machine monitoring

Non-Functional Requirements

Scalable architecture for 500+ concurrent users
Real-time data processing under 200ms latency
Role-based access control with audit trails
Mobile-responsive interface for shop floor operations

Expected Business Outcomes

Projected 35% reduction in quality control errors, 25% decrease in equipment downtime through predictive maintenance, and 200% improvement in production scalability while maintaining consistent product quality across all manufacturing units.