- Understanding their real KPI measurements. Most of them rely on ad-hoc custom reports, exported in excel from many systems and constantly updated by hand. Creating such reports takes weeks.
- Understanding basic customer data like – order profitability, on-time delivery, produced scrap, etc.
- Have no option for remote monitoring, but rely on constant physical interaction with the machines
- High salary costs, which combined with the tiny margins leave little room for profit.
- Optimizing productivity is not an option as it can’t be measured.
- Decreasing scrap. Minimizing waste and errors to produce it.
- Low asset utilization. Not knowing how their assets can be used more effectively.