United KingdomFood and restaurants2025 – ongoingMüller UK & Ireland Group
IntelliAM AI-assisted preventative maintenance on dairy filling lines
Müller reported around a 215% improvement in time between failures at one site
Problem
Failures on dairy filling lines reduced machine availability. Maintenance teams needed to plan interventions around existing downtime.
Approach
Müller worked with IntelliAM to use machinery and operational data for AI-assisted preventative maintenance. Teams used the resulting information to plan maintenance during available stoppages. A named Müller operations manager reported improved reliability at one site over 12 months.
Results
Takeaway
The reported gain concerned the interval between failures at one site. It did not establish the same improvement across Müller's wider operations.
Categories
- Size
- Large enterprise
- Industry
- Food and restaurants
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Vendor solution
- Evidence
- Vendor case study
Sources
Source summaries
IntelliAM described its maintenance partnership with Müller on dairy filling lines. It quoted group operations manager Matt Wilson reporting around a 215% improvement in mean time between failures at one site over 12 months.
Full details are in the original sources.
