by Subanu Senthilkumar | Aug 27, 2025
A study conducted by IBM finds that poor-quality data costs the U.S. economy more than $3.1 trillion every year due to lost productivity and operational errors. Inaccurate Bill of Materials (BOM) records are part of that cost, as they drive procurement delays and... by Subanu Senthilkumar | Jul 18, 2025
A report from the U.S. Department of Energy reveals that preventative maintenance can reduce equipment failures by as much as 70%. This substantial impact underscores the importance of strategic maintenance in enhancing asset reliability. In industries where uptime is... by Subanu Senthilkumar | Jul 16, 2025
Industrial manufacturers lose an estimated $50 billion annually due to unplanned downtime. These losses often stem from inefficient maintenance scheduling that fails to align with asset needs or operational priorities. What Is Maintenance Scheduling? Maintenance... by Subanu Senthilkumar | Jul 11, 2025
A Deloitte study found that predictive maintenance can reduce facility downtime by 5% to 15% and increase labour productivity amongst teams by 5% to 20%. This capability is driven by the integration of AI into CMMS platforms, where real-time analytics and machine... by Subanu Senthilkumar | Jul 9, 2025
According to PwC, predictive maintenance enabled by AI can reduce operational costs by up to 30% and cut unplanned downtime by as much as 45%. These outcomes are not future projections. They are being realized by organizations that have embraced AI-powered...