Müller Milk & Ingredients needed to reduce recurring equipment failures, hidden losses and dependence on experience-led decision-making across its manufacturing network. Working with IntelliAM, Müller first built a connected condition-based monitoring foundation that contextualised asset data and enabled earlier, planned intervention. The programme materially reduced failure rates and brought recurring issues such as slew rings under control. The next phase connects PLC, process, alarm and machine-setting data through an AI platform, accelerating root-cause diagnosis and moving operations towards scalable, closed-loop optimisation.

• Why reactive, experience-led operations concealed performance loss
• How connected monitoring created a reliable data foundation
• Turning contextualised insight into planned interventions
• Quantifying impact on failures, reliability and disruption
• Extending asset health insights into process optimisation
• Practical lessons for scaling industrial AI responsibly