Digital Transformation for the Textile Industry

Efficiently manage sales and purchasing orders, and streamline production processes with tracking codes.

• A lack of detailed insights hindered the ability to make informed production decisions.
• Inaccurate meterage and defect tracking  disrupted inventory management and planning.

Problem

• Connectivity & Hardware Integration
• Tracking Solutions
• Advanced Filtering & Reporting
• Management Reports

Solution

• Improved Data Insights
• Enhanced Operational Efficiency
  
• Reduced Waste and Costs

Result

• Disparate Data Storage
• Operational Inefficiencies
• Quality Assurance Risks

Problem

• IIoT Implementation
• Cloud-Based Data Integration
• Proactive Alerts System

Solution

• Unified Data Access
• Enhanced Operational Efficiency
• Mitigated Quality Risks

Result

• Manual Data Collection
  
• Reactive Maintenance and Delayed Response
  
• Unexpected Machine Breakdowns

Problem

• Automatic Data Collection
  
• Online Data Collection and Instant Alerts
  
• Cloud-based Interface and Mobile Accessibility

Solution

• Instant Data Accessibility
  
• Reduced Downtime
  
• Improved Quality

Result

• Manual inspection of tire fabrics was slow, prone to errors, and inconsistent.
  
• Inefficiencies led to increased waste, higher production costs, and compromised tire safety.
  
• The need arose for a more reliable, efficient, and accurate inspection process.

Problem

• Implemented FabriQC, an AI-powered, automated tire fabric inspection system.
• Real-time monitoring and analysis of fabric defects using advanced machine vision and ML algorithms.
• Providing insights into defect patterns, enabling continuous improvements in production quality.

Solution

• Increased accuracy in defect detection reduced faulty tire fabrics.
• Enhanced operational efficiency with faster, automated inspections.
• Consistent tire quality improved safety and performance, positioning the manufacturer as an industry leader.

Result