NexGen Manufacturing:
AI-Powered Production Optimization.
Custom AI solution reducing material waste by 40% and predicting equipment failures before they happen.
Client Profile
The Challenge
NexGen Manufacturing was losing millions annually to material waste and unexpected equipment failures. Their production lines generated massive amounts of sensor data, but without the tools to analyze it, valuable insights were lost. Unplanned downtime was costing them $50,000 per hour, and material waste was eating into already thin margins.
The Solution
Green Net developed a custom AI platform that transforms raw sensor data into actionable intelligence.
- Predictive Maintenance AIMachine learning models analyze equipment vibrations, temperatures, and patterns to predict failures days in advance.
- Process Optimization EngineReal-time AI adjusts production parameters to minimize waste while maintaining quality standards.
The Result
The AI system paid for itself within 4 months. Material waste dropped by 40%, saving $1.2M annually. Predictive maintenance has prevented over 200 hours of unplanned downtime, worth $10M in avoided losses. Production efficiency improved by 55%, and the system continues to learn and improve with each production cycle.
