Reducing paint shop downtime with Industrial Data Fabric on AWS
Industries Blog
This article describes how Mahindra AI and AWS built an Industrial Data Fabric to reduce unplanned downtime in automotive paint shops through unified data integration and AI-driven root cause analysis.
- Unified siloed SCADA, MES, and operational data into a contextualized knowledge graph on AWS
- Deployed ML-based anomaly detection models using Amazon SageMaker to identify deviations from normal operation
- Built two specialized AI agents on Amazon Bedrock AgentCore for shift briefings and natural language root cause investigation
- Reduced Mean Time to Repair (MTTR) by 20% and accelerated horizontal deployment by 30%
- Integrated Amazon Neptune knowledge graphs, Amazon Athena for time-series analysis, and Amazon OpenSearch for documentation retrieval
The solution establishes a scalable, reusable foundation for AI-driven manufacturing operations that improves decision velocity and operational efficiency across paint shop floors.
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