SwitzerlandConstruction and engineering2026 – ongoingHolcim Group
M-Predict machine-learning predictive maintenance
Holcim said M-Predict anticipated equipment failures up to 90 days ahead
Problem
Failures of critical plant equipment interrupted production and created maintenance needs.
Approach
Holcim used M-Predict to monitor equipment health in real time. The platform combined smart sensors with machine learning to predict failures and maintenance requirements.
Results
up to 90 daysadvance warning of equipment failures, according to Holcim
Takeaway
The disclosed figure described warning time. Holcim did not quantify the resulting downtime reduction.
Categories
- Size
- Large enterprise
- Industry
- Construction and engineering
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
[1]Holcim30 Apr 2026
Holcim described M-Predict as an operating equipment-monitoring platform. It claimed failure predictions up to 90 days ahead.
Full details are in the original sources.
Added 1 Nov 2026 · Updated 1 Nov 2026
