New or changed features in Release 10.0.45.20 (November 2025) - PLM integration for Engineering Change Management.

1. BOM Comparison with AI-Powered Insights

The BOM Comparison feature provides a dedicated workspace for analyzing engineering changes with AI-powered summaries and downstream impact analysis. This functionality empowers users to visualize BOM changes, understand their business impact, and make informed decisions before releasing changes to production.

Key Benefits of BOM Comparison:

• AI-Powered Summaries: Quickly gain insights into BOM changes with AI-generated summaries.
• Impact Analysis: Evaluate downstream impacts across multiple document types, ensuring comprehensive decision-making.
• Integrated Workspace: Access a unified workspace for managing Engineering Change Orders and PLM Staging Journals.
• Customizable AI Integration: Configure the LLM endpoint to tailor AI features to specific business needs.

2. Product Release Automation

Product Release Automation simplifies and accelerates the release of engineering products from PLM systems to operational companies in Dynamics 365. By leveraging category-based and attribute-based rules, users can automate the release process, ensuring consistent application of release policies.

Key Benefits of Automation:

• Rule-Based Automation: Define category-based and attribute-based rules to streamline product releases.
• Seamless Integration: Automatically release products upon staging journal posting, reducing manual effort.
• Enhanced Traceability: Maintain detailed logs and receive notifications for improved traceability.
• Multi-Company Support: Configure release policies to support operations across multiple companies.

3. Performance Improvements in Staging Journal Migration

This release addresses critical performance issues encountered during the migration of large datasets using the PLM migration tool. The enhancements ensure smoother data migration processes and significantly reduce processing time for staging journals.

Key Benefits of Migration Enhancements:

• Optimized Processing Logic: Improved journal processing logic to handle large data volumes efficiently.
• Customer Collaboration: Worked closely with customers to identify and resolve bottlenecks in the migration process.
• Extensive Testing: Conducted rigorous testing to validate improvements and ensure system stability.
• Scalability: Enhanced support for high-volume data migration scenarios, ensuring scalability for future needs.