ÖBB x Partium
How ÖBB-Technische Services-GmbH (ÖBB Train Tech) uses Artificial Intelligence for spare parts clarification
Visual recognition of train components
Trains are becoming more and more complex. The demands on maintenance technicians are correspondingly high. To work more efficiently and expand the service area, ÖBB Train Tech is investing more in future technologies such as digitalization and automation.
ÖBB Train Tech therefore was looking for a solution that would allow all employees to identify and find spare parts, including the correct part number. They came across Partium on the recommendation of Deutsche Bahn.
You can find more information in the case study!
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Maintenance technician
Wien Energie
Partium proved to be an effective tool during the POC and was
perceived as very positive by almost all employees. We are
confident that we will see a significant reduction in our search
times once Partium is rolled out across all locations."
Robin Kremer,
Senior Specialist IT Business Analysis, ÖBB Train Tech
Case Study
Faster Onboarding thanks to visual search
Thanks to Partium's image search, even inexperienced technicians, who do not fully understand the railway-specific nomenclature yet, can find the right parts without the support of experts.
Knowledge Management
Knowledge from long-term employees is gradually stored in Partium.
Accelerated, more efficient processes
ÖBB Train Tech benefits from significantly reduced search times in maintenance and increased vehicle operating time.
Start now!
Reduce the effort searching for parts and integrate Partium into your existing processes.
