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48 Institutions Taxonomy
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Brückner Maschinenbau leverages GenAI to optimise efficiency by improving master data management

Lay summary

For Brückner Group, inconsistent and incomplete material data from multiple external sources was becoming a major bottleneck. We used GenAI to streamline data management, enabling engineers to not only save time but also increase efficiency.

Abstract

The project at a glance
1. Main challenge: inconsistent and incomplete material master data: Brückner Group faced the common, yet critical, issue of inconsistent and incomplete material master data in R&D and manufacturing. This was due to incomplete, inconsistent, and heterogeneous material data sets from external sources like part suppliers.
2. GenAI-powered app to address this critical issue: We designed and implemented a GenAI-powered app that addressed this critical operational challenge and strengthened Brückner´s position as a forward-thinking leader in its sector.
3. User-friendly solution saves time and resources: The result is a bespoke and user-friendly solution that not only saves time for data managers but also for the engineers relying on and working with that data.