Improving equipment reliability with AI
Using AI-driven insights about the machine condition to proactively improve equipment reliability and the seamless integration of service and maintenance.
Machine Condition Monitoring App
For a leading partner in the mechanical engineering industry, we developed an innovative application powered by machine learning algorithms. This solution monitors and predicts the machine condition, consolidating data from various sources into a dynamic dashboard. The app is designed to improve efficiency, reduce downtime, and provide users with actionable insights.
The project
Our approach focused on creating a user-friendly interface which combines complex machine data into a clear and accessible look and feel. The dashboard offers an overview of the condition of all machines in a production facility, empowering users to quickly identify which machines need proactive attention. Designed responsively for desktop, tablet, and mobile, the app ensures accessibility in all situations.
Key Features
The app enables users to go into specific issues and access detailed insights, including step-by-step guidance for improving the machine condition. Further, a seamless interaction with the service department directly in the app ensures that users can escalate and manage issues effortlessly and the service department gets all the data they need to assess the situation.
Impact
With this solution, users can proactively prevent machine failures and optimize maintenance planning. The app minimizes unexpected downtimes and helps the operator to constantly improve the condition of the machine. With our focus on usability and functionality, we are able to create impactful digital solutions for the industrial sector.