Case Study

Steel Manufacturing: Eliminate Expenditures

Discover how this leading steel mill leveraged AI and robotic powered data to optimize capital allocation while ensuring reliability.
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Eliminate multi-million dollar expenditures

A large steel manufacturer understood the criticality of its aging fleet but lacked data on its condition which led to costly and inefficient reactive maintenance and unexpected downtime.

The mill’s existing data was tied up in historians and filing cabinets, making it difficult to connect information. Without a full understanding of asset health, the mill estimated that it needed to replace a significant portion of its tanks, putting the mill and its workforce at risk.

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Results

$40M
Annual value creation
5x
Return on investment
30%
Reduced unplanned downtime

Transform into a facility of the future

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