AI-Driven Predictive Maintenance to boost productivity and reduce downtime.
Largest private steel pipe manufacturer in India
Client Overview
The largest private steel pipe manufacturer in India sought AI-driven solutions to enhance machine availability, optimize performance, and ensure top-tier quality while reducing production losses by 15%.
Business Challenge
Despite its leadership in the market, the client faced challenges in maintaining high machine uptime, achieving optimal production efficiency, and consistently meeting quality standards. They needed insights to minimize productivity losses and better predict equipment failures.
Solution Impact
Identified unknown causes for machine idle time and production loss.
Provided predictive maintenance recommendations based on equipment behavior.
Pinpointed shifts and machine-specific inefficiencies.
Delivered a dashboard for real-time monitoring of productivity.

Our Approach
We integrated data from multiple sources (machines and operators) and applied AI and machine learning techniques to identify inefficiencies. Detailed descriptive and predictive analytics were used to forecast maintenance needs, downtime, and potential rejections, offering actionable insights for operational improvements.



Genesis AI drives innovation in manufacturing with AI and machine learning, optimizing processes and boosting productivity across industries like chemical, petrochemical, and automotive.