This is a natural place to start. If you can monitor your machines you can report relevant details to different stakeholders and user groups at your client. Operators or service crew will want to see different things than production planners. With NouxCloud you can create dashboards and share them to specific people. Follow the machine performance and report OEE or raise alarms and service requests.

Machine productivity can be increased by optimizing it with machine learning models and AI. But in most cases it is sufficient to show the performance details to the operators. They usually know what they are doing very well and just by having a better visibility of the machine performance helps them to optimize it while operating. This is a natural follow-up and a special case of reporting.

Service business and asset management is often considered the most obvious use case of IoT. However, there are many OEMs that cannot provide the service by themselves: If end client is a big factory or a group of multiple factories they may have outsourced the whole site service and maintenance to a 3rd party service provider. In this case it is not about service but serviceability. Via interfaces alerts can be messaged to end client and their service provider and more specifically to their systems, like service request tools. It is more about knowing the service need and timing it just right than who is doing the service.

Using IoT to support research and development is a long-term project but it can have a very high business value. Since you have current and comparable data from your whole installed base you are able to identify requirements for upcoming product development projects. It is easier to tell which features need improving. Regarding PDM you can actually compare the performance of components with identical specifications among different manufacturers. Optimize your product performance and structure by data-driven and targeted R&D.