The ST-One Solution allows the data of your industry to be collected and, through an intelligent algorithm, to be classified and organized.
Our data scientists take care of the data and create dynamic dashboards in an easy-to-view interface that can be accessed from any device.
The ST-One Solution for the application of raw materials in different industries is relevant to, for example:
Visualization of key data so that industry management can make decisions that will improve control and monitoring of raw material extraction, transport and storage processes, reducing costs, waste and environmental risks.
For example, alerts can be programmed so that you can detect the quality, quantity and location of raw materials from the machinery already installed on your shop floor, facilitating stock management and logistics.
Increased efficiency and productivity in the processes of transforming raw materials into products, optimizing the use of resources and energy by providing essential data for decision-making, measuring environmental conditions such as temperature, humidity and pressure, and adjusting machine parameters to obtain the best performance.
Facilitating integration and communication between the different links in the production chain, improving coordination and collaboration between the parties involved. For example, the ST-One Solution makes it possible to transmit real-time information on the status of production, demand and supply, data that is already present in machinery on the shop floor, which will be collected and processed, enabling greater synchronization and flexibility.
The flexibility of our SaaS solution, combined with Data Science, allows us to map and create solutions to prevent future adversities.
Find out more about how we help our clients improve performance, monitor quality and maintenance indicators, support important Research and Development decisions, assist in the management of natural resources and raw materials, among other possible applications:Case Success
The intelligent use of valves in industry:
A case study on reducing maintenance costs and downtimeFull case +