How Edmund saves Amcor 190 000 Euro annualy per one factory
With Edmund AI, Amcor’s maintenance teams gain faster access to critical information, clearer troubleshooting paths, and better shift-to-shift continuity — all without changing their existing processes.
18. 6. 2025
The Challenge
Amcor NB operates five Allstein printing lines and ten cutting machines, where even short stoppages carry a cost of €1,200/h and €600/h respectively.
These are highly complex systems that rely on precise sequences, interlocks and parameter settings. Troubleshooting often requires navigating:
extensive documentation
historical maintenance logs
PLC logic and machine-specific behaviour
mechanical drawings, BOMs, and part databases
long-term institutional knowledge across shifts
Before Edmund, this information was spread across multiple systems, making it time-consuming to gather all relevant context — due to the complexity of the machines and the volume of information required to maintain them. Edmund’s role was to unify this information and make it instantly accessible.Provide instant answers to FAQs and common issues.
The Solution: A “Digital Colleague” That Supports the Team
Edmund was deployed to complement Amcor’s existing maintenance expertise — not replace it.
It acts as a structured layer on top of existing documents, logs, manuals and historical fixes, enabling technicians to:
quickly access the most relevant information
avoid repetitive searching across multiple sources
validate hypotheses with data from past incidents
maintain consistency across shifts
capture know-how directly during troubleshooting
Technicians described Edmund as “another colleague on the shift”, someone who helps gather information when others may be occupied elsewhere.Track key metrics like resolution time and customer satisfaction.
Quantified Results
Predictive Analytics
Across Allstein and cutting machines, the implementation delivered:
→ 36.75 hours of maintenance time saved per month
→ 441 hours saved per year
→ 10 hours of avoided machine downtime monthly
→ €15,900 saved per month in downtime reduction
→ €190,800 annual savings
Additional observed improvements:
50% faster information search thanks to unified knowledge access
smoother onboarding for new team members
more time available for preventive and higher-value work
better knowledge continuity across shifts
fewer repeated troubleshooting cycles
