The Challenge
Outdated production lines with 25% downtime, unpredictable quality output, and manual inspection processes leading to $1.2M annual losses.
Our Solution
Implemented AI-powered predictive maintenance, computer vision quality control, and real-time production optimization using IoT sensors and machine learning models.
Results Achieved
- Reduced downtime by 87% (from 25% to 3%)
- Improved product quality by 38%
- Increased overall equipment efficiency by 34%
- Saved $1.1M annually in operational costs