Case Study: ÖBB Train Tech accelerates spare parts identification with Partium

A Partium Case Study

Preview of the ÖBB Train Tech Case Study

How ÖBB Train Tech uses artificial intelligence for clarification about spare parts

ÖBB Train Tech, the technical maintenance division of the Austrian Federal Railways, faced operational inefficiencies as its technicians spent significant time and effort identifying spare parts from complex databases, a process that often required consulting senior experts. To address this challenge, they partnered with the vendor Partium to implement its mobile visual recognition and part search solution.

By using Partium's image and text search capabilities, technicians could quickly identify parts, find part numbers, and check warehouse availability directly from their mobile devices on the train. The solution from Partium significantly reduced search times, decreased reliance on expert colleagues, streamlined the onboarding process for new technicians, and conserved valuable institutional knowledge. ÖBB Train Tech is now rolling out Partium across more locations to further integrate it into its operational systems.


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ÖBB Train Tech

Robin Kremer

Senior Specialist IT Business Analysis


Partium

6 Case Studies