AI-driven Early Warning System for Railway Operations

Zühlke supports transport providers in transforming complex data into operational excellence. We specialize in merging domain expertise with advanced data science to ensure smooth operations.

Key Project Highlight: SBB Early Warning System In close collaboration with SBB specialists, Zühlke developed an intelligent solution to mitigate the impact of infrastructure and vehicle malfunctions:

• Big Data Integration: The system connects diverse data sources, including trouble records and weather forecasts.

• Machine Learning Algorithms: We developed and deployed custom algorithms on a big data platform to identify risks weeks before they manifest.

• Operational Impact: This allows for optimized staff planning and infrastructure maintenance, leading to increased customer satisfaction and reduced costs.

• Our Technical Approach: We provide on-site support from proof of concept to full operative implementation. Our toolkit for this large-scale transformation includes Data Science, Big Data, SQL, and Data Lake architectures.