GermanyManufacturing2024 – ongoingSchaeffler
Azure AI agent for factory downtime troubleshooting
Schaeffler workers queried an AI agent for downtime explanations that previously took hours to investigate
Problem
Factory data sat across different production and business systems. Engineers could spend hours finding detailed reasons for downtime.
Approach
Schaeffler worked with Avanade to pilot Microsoft Fabric data pipelines and an Azure AI agent. Fabric extracted and normalized factory data. Workers asked questions in natural language to investigate downtime and possible fixes.
Results
No published figures
Takeaway
The agent depended on normalized production data beneath the conversational interface. No measured reduction in downtime or investigation time was disclosed.
Categories
- Size
- Large enterprise
- Industry
- Manufacturing
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Generative AI
- Adoption
- Partner co-development
- Evidence
- Vendor case study
Sources
Source summaries
Microsoft described a working pilot developed with Avanade. Schaeffler executives reported quicker access to downtime explanations, without quantified operating results.
Full details are in the original sources.
