Normalized claim
Time: 30-50% decrease
The solution reduced expert operator document analysis time by 30-50%, accelerated maintenance inspections, and promoted sustainability by increasing part reuse and enabling circular economy in aerospace.
Capgemini Lifecycle Optimization for Aerospace extends component lifespan with AWS AI
Use case typePredictive maintenanceUpdated Jun 13, 2026
Capgemini developed the Lifecycle Optimization for Aerospace solution to automate and optimize complex aircraft maintenance data analysis. The system digitizes aircraft component documents, consolidates historical data, and enables part reuse to support circular economy practices in aerospace.
- Organization
- Capgemini
- Industry
- Manufacturing
- Location
- France
- Published
- November 2023
Why do we believe this?Outcome claims, sources, and evidence checks
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Capgemini
- Provider
- AWS
- Maturity
- Production
- Linked source
- AWS Partner Network Blog
It improved operational efficiency with scalable AWS-managed services and reduced costs with a serverless design
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 3
- 1Document Analysis
- 2Predictive Maintenance
- 3Sustainability
- Capgemini built a serverless, multi-tenant architecture on AWS using Amazon Textract for OCR and data extraction, Amazon SageMaker for ML models classifying documents, AWS Step Functions for orchestration, Amazon OpenSearch Service for indexing, and other AWS managed services.
- The architecture uses AWS Control Tower for multi-account deployment, Lambda for compute, and integrates secure, scalable, asynchronous, event-driven processing to handle large document sets efficiently.
Architecture
The solution uses a serverless multi-tenant architecture on AWS with Amazon Textract, SageMaker ML models for document classification, API Gateway, Lambda, Step Functions for orchestration, OpenSearch Service for indexing, and S3 for storage. It is deployed securely with AWS Control Tower and includes asynchronous event-driven workflows to handle large, multi-page maintenance documents efficiently.
Sources & evidence1
Evidence: Medium50/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Quantified outcome available
- Technical implementation details available
Type: Blog PostPublished: Nov 21, 2023Publisher: AWS Partner Network BlogEvidence: VendorConfidence: Medium
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