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Enterprise Digital Quality Management Platform for Global Tobacco Production

emerline.com

Consumer products & services

Food & Beverage

Manufacturing

Challenges in Production and Supply Chain Quality Management

Fragmented paper-based workflows causing delayed responses to production issues, inconsistent quality control across procurement, blending, and shipping stages, siloed IoT data from sensors, and lack of centralized database for real-time analytics and decision-making.

About the Client

Leading multinational tobacco producer seeking end-to-end production and supply chain digitization

Digital Transformation Goals for Quality Management

Digitize end-to-end production and logistics workflows
Implement real-time quality monitoring across all stages
Centralize IoT data and documentation management
Enable predictive maintenance and immediate deviation detection
Improve workforce productivity tracking and reporting

Core System Capabilities

Intelligent production campaign scheduler with IoT integration
Unified database for real-time data ingestion from sensors and ERP systems
Automated quality validation with threshold deviation alerts
Employee productivity tracking dashboard with shift analytics
Digital document management with audit trail functionality
Predictive analytics for equipment maintenance scheduling

Technology Stack Requirements

SQL Database

IoT Sensor Integration

ERP System Middleware

Cloud Analytics Platform

System Integration Needs

Existing ERP system
IoT temperature/moisture sensors
Barcode/RFID scanning hardware
Production line control systems
Enterprise document management platform

Operational Requirements

99.9% system uptime during production hours
Real-time data processing latency <500ms
Role-based access control with audit logging
Scalable architecture for 10,000+ concurrent users
Data encryption at rest and in transit

Expected Business Impact of Digital Transformation

25% reduction in production downtime through real-time monitoring, 40% improvement in quality control compliance, 30% decrease in documentation processing time, and $2M+ annual savings from predictive maintenance and waste reduction.