Proactive maintenance with IoT and AI
Decrease downtime
Recognize trends and patterns
Minimize unneeded maintenance
Optimize the usage of resources
Lower costs and improve predictability
Regardless of the high volume of assets and numerous locations, the solution will do the job in a matter of seconds.
With the newest Machine Learning and AI algorithms, all the gathered data is presented in a user friendly dashboard. This dashboard gives you input on usage, downtime, next maintenance term and can be customized to your specific needs and requests.
The solution allows for easy integration with any other running application in your company. Ultimately, allowing you to minimize downtime, optimize your resources, lower your costs and improve your performance.
Microservice architecture
Loosely coupled
Independently deployable
Organised around predictive capabilities
Integration via REST API
Incorporates IoT and machine learning
Optimal maintenance based on AI and self-learning algorithms
Uses Google Maps, Leaflet/OpenStreetMap/Mapbox for routing and viewing asset locations (e.g. current location of vehicles etc.).