Clarion Transforms Manufacturing Efficiency with Java

Driving Operational Excellence with AI-based Advanced Solutions 

Before Clarion’s Engagement: 

Challenges faced by the manufacturing company: 

1. Defect detection: Defect identification in manufacturing process was slow and maximized costs. 

1. Inventory management: Supply chain disruption with regular stock outs and over stocking. 

1. Maintenance: Reactive maintenance approach led to delays, outages, and disruptions. 

After Clarion’s Engagement: 

Clarion’s solution helped address clients' pain points and made remarkable improvements. 

Quicker defect detection:  

• Developed faster and more accurate detection of defects with AI and deep learning
• Achieved 70% reduction in defect related cost

Accurate Forecasting

• Enhanced forecasting accuracy by 30% and also replenishment accuracy
• 60% reduction in inventory mismanagement

Predictive Maintenance

• Reduced downtime and delays with proactive strategies
• Achieved 50% decrease in outages
• Decreased 50% maintenance cost