Abut the client

Our client is a multinational steel recycling company with operations worldwide. They specialize in transforming scrap metal into high-quality steel products through advanced recycling processes. With multiple facilities across different continents, they manage complex heating and cooling systems that are critical to their steel production operations, constantly working to improve efficiency, reduce costs, and minimize environmental impact while maintaining the highest quality standards.

The problem

The multinational steel recycling company was struggling with inefficient cooling processes across their facilities. Operators and process engineers lacked real-time visibility into cooling system performance, resulting in energy waste, equipment downtime, and increased CO2 emissions. The complexity of managing multiple heating and cooling cycles made it difficult to identify optimization opportunities and respond quickly to system anomalies.

How we solved it?

Using Intemic's AI platform, the company deployed an intelligent cooling optimization system that ingests real-time IoT sensor data (temperature, pressure, coolant flow) and understands contextual information about their machinery and protocols. The system enables operators, process engineers, and sustainability managers to chat with an AI assistant that provides technical insights, suggests optimizations, and identifies environmental impact areas.

Key results

Energy consumption for cooling proccesses was reduced by 25%, leading to significant cost savings and improved sustainability metrics.

Time to identify and respond to cooling system anomalies was reduced from 4 hours to 15 minutes, preventing equipment damage and production delays.

Carbon emissions were reduced by 30% through optimized cooling operations and improved process efficiency across all manufacturing zones.