Machines located around the world are connected through the IoT system and send their data. These data must be interpreted correctly to understand specifically how the machine is being used, and also obtain crucial business information from them. Thanks to state-of-the-art proprietary algorithms, it is possible to get the necessary information even from a few elements at hand and gain competitive advantages difficult to achieve with traditional technologies.
The analyzed data open up unthinkable scenarios in the field of value-added service development. They can be used to create new business solutions and to optimize companies’ production processes, from the marketing area to the technical department to the service department. By interpreting the data, companies gain crucial advantages regarding the development of subsequent machine models.
Increasing data collection and analysis brings decisive benefits when it comes to the development of subsequent machine models. Whereas analyses were previously carried out on partial samples, thanks to IoT it is now possible to know exactly how end customers use machines.
The system performs machine analysis based on statistical foundations and is able to highlight precise behaviors and critical issues. Learning from machines means discovering correlations related to what happens to the machines themselves, leading the design of next-generation models toward competitive advantages that would be impossible without artificial intelligence.
The data collected and analyzed become a strategic tool for marketing that can go as far as truly segmenting customers, in a whole new way and with greater awareness. Being able to carry out marketing actions based on a deep knowledge of all customers and each customer in detail turns out to be a decisive advantage.
The development of a much more comprehensive and intelligent machine service is achieved with a system based on data collection and interpretation. Service based on actual data is much more effective, especially with a view to offering a truly differentiating and therefore valuable service.
With predictive maintenance, you are able to predict and anticipate failures even before they actually occur. The system collects usage statistics and records any breakdowns on machinery. Month after month it stores data and learns more and more. Through sophisticated algorithms it makes connections, understands cause-and-effect reactions, and makes predictions with respect to what will happen.