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.

Largest private steel pipe manufacturer in India ​
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.

Decreased downtime and rejections through precise maintenance forecasts.
Continuous performance improvement with actionable data insights.
60-65% productivity boost, exceeding the initial target of 15%.
Copyright © AI Manufature 2024. All rights reserved