In the world of complex engineering, manually analyzing product configurations is a high-stakes game of precision—one that’s both time-consuming and prone to human error. A single oversight in one of thousands of possible variants can lead to costly production delays and failures. But what if you could automate this entire process?

That’s where GenAI-powered PLM workflows come in. By integrating 3DEXPERIENCE data with AI-driven analysis, this technology transforms engineering data into automated intelligence, providing deterministic traceability and accelerating decision-making from weeks to minutes.

Workflow : Configuration Management Analysis

To see these intelligent workflows in action, let’s explore a powerful use case: analyzing and validating product configurations automatically.

Intelligent Product Configuration Validation

• Processes complex model versions and configuration rules automatically
• Validates product configuration combinations and identifies rule conflicts
• Handles multiple search results and provides detailed processing statistics
• Generates comprehensive analysis of configuration dependencies and effectiveness
• Value: Prevents configuration errors from reaching production and ensures manufacturable product variants

Demo Example: GenAI powered Configuration Management

Key Technical Advantages

• Deterministic Traceability: The system logs and audits every analysis step, ensuring compliance for regulated industries.
• Flexible Execution: Users can trigger workflows on-demand, schedule them, or link them to specific PLM events for full automation.
• Rapid Customization: Teams can configure customer-specific workflows, integrate unique business rules, and adapt systems within days.

Industry Applications

• Automotive: Complex vehicle platform management with thousands of configuration options and regulatory requirements.
• Aerospace: Critical component traceability with strict certification and safety compliance needs.
• Medical Devices: FDA validation workflows with complete documentation and change control requirements.

Conclusion: A Shift to Proactive PLM Management

These intelligent workflows represent a fundamental shift from reactive to proactive PLM management. By combining structured data extraction with AI-driven analysis, organizations gain predictive insights that help prevent issues before they impact production. The workflows provide complete audit trails essential for regulated industries while dramatically reducing the time engineering teams spend on manual analysis.

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Raghunath Torase

3DEXPERIENCE Solution Architect at independent Consultant as Freelance

Raghunath Torase is a 3DEXPERIENCE Solution Architect and PLM expert with 19+ years of experience in PLM implementation, SAP integration, and enterprise collaboration.

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