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IoT-Enabled Manufacturing Process Optimization Platform
  1. case
  2. IoT-Enabled Manufacturing Process Optimization Platform

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IoT-Enabled Manufacturing Process Optimization Platform

relevant.software
Manufacturing
Consumer products & services
eCommerce

Operational Inefficiencies in Traditional Manufacturing Management

Manual paper-based reporting caused delayed data entry, inaccurate production tracking, difficulty identifying defects, and time-consuming weekly reporting. Lack of real-time visibility into production status across different roles led to operational blind spots and financial discrepancies.

About the Client

Ukrainian footwear manufacturer producing 100+ models for domestic and export markets with 5 production lines

Digital Transformation Goals

  • Implement real-time production monitoring system
  • Reduce manual reporting time by 90%
  • Improve production data accuracy to 99.5%
  • Enable cross-role visibility into manufacturing status
  • Standardize product naming and quality tracking

Core System Capabilities

  • Enterprise dashboard for executive reporting
  • Admin interface for product management and user access control
  • Shop master task management with priority settings
  • Worker interface for task execution and reporting
  • Warehouse inventory tracking with defect monitoring
  • Sales manager interface for order fulfillment visibility
  • IoT-enabled production data collection

Technology Stack Requirements

Low-code platform (AppSheet)
IoT sensors integration
Cloud database
Mobile-responsive interfaces

System Integration Needs

  • Existing accounting software
  • Warehouse management systems
  • IoT equipment monitoring systems

Operational Requirements

  • 24/7 system availability
  • Role-based access control
  • Data encryption at rest and in transit
  • Scalable architecture for 500+ concurrent users
  • Multi-device compatibility

Expected Business Outcomes

Projected 85% reduction in manual reporting time, 70% decrease in production accounting errors, and 50% faster audit processes. Enables real-time bottleneck identification and seasonal production planning optimization through centralized data repository.

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