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- PLM, MES, and service data stored in disconnected systems
- Engineers spent hours searching CAD, BOMs, and change histories
- No AI-driven knowledge discovery across product lifecycle
- Limited scalability for AI workloads on legacy infrastructure
- Amazon Bedrockfor GenAI-powered engineering assistant
- Amazon OpenSearchfor vector search across PLM and CAD metadata
- AWS Lambda & Step Functionsfor PLM sync workflows
- Amazon S3 Data Lakefor CAD, BOM, and document storage
- AWS IoT SiteWiseto enrich PLM data with production context
- IAM, KMS, GuardDutyfor enterprise security
- Natural language access to PLM, BOM, and engineering data
- Faster engineering change impact analysis
- Improved collaboration between design, manufacturing, and service
- Foundation for AI copilots across the product lifecycle
- 60% reduction in time spent searching engineering data
- 40% faster engineering change approvals
- Single digital thread across PLM and manufacturing
- First step toward AI-powered smart manufacturing