MACHINES.cloud

MACHINES.cloud is a platform for the management of users, machine data and vehicle fleets. It features a standardized communications interface for programmers as well as different browser applications, and is thus available for a wide spectrum of users. 

 

The Cloud solution has been optimized for the world of mobile machines, and features a quick testing possibility for machine-Cloud connection and use.
Open, secure and standardized Cloud interfaces are used here.

As specialists for the automation, networking and electrification of mobile machines, we permit the integration of machines into everyday work at the office through our MACHINES.cloud platform. For this purpose, MACHINES.cloud offers user and device management via a web interface which can be operated from the PC, tablet or smartphone. The data collected on the TCG modules can be visualized, and act as the basis for geo-localization or the triggering of alarms. Using the live view, machine data can be presented via various widgets in real-time. The SCADA widget permits individual adaptation of the visualization.

Whereas most telematics systems today reach their limits in the visualization of machine data, we go one step further and also offer the appropriate infrastructure for the integration and automation of business processes. The connection of MACHINES.cloud to third-party systems such as ERP, CRM, FSM or BI is facilitated by a REST interface. In this way, users can retain the overview of their key figures at any time, from anywhere in the world. Market launch times for new services and business models can quickly be implemented using the “Rapid Prototyping” approach.

Diverse standard tools and a flexible and open ecosystem form the basis for implementing even short-lived business models at low cost and minimum risk. The open approach of “Manufacturer Independence” offers the necessary investment security. Together with a strong partner network, we advise and support you in the implementation of your projects, services and business models.