GenAI solution to compare engineering drawings, improve part reuse, and streamline ECM decisions.
Drawing Match AI by Celebal Technologies is an intelligent search and comparison solution that scans engineering drawings across PLM systems using geometry-based matching to identify similar designs in both components and assemblies. It strengthens Engineering Change Management (ECM) through a built-in chatbot that assists with part interchangeability and ensures faster, more accurate decisions. By combining unstructured data such as CAD files with PLM metadata and ERP records, it resolves key enterprise challenges—comparing components across multiple PLM systems, generating geometry and material-based comparison reports, and improving component reuse to reduce design duplication and costs.
The solution is powered by four core components, all accessible across Web, MS Teams, and mobile platforms. AI-powered part matching and comparison, built on Azure OpenAI, uses advanced AI/ML algorithms to analyze engineering drawings. PLM integration with Azure Data Factory connects multiple repositories, enabling multi-vault scanning for consolidated insights. GenAI-driven data intelligence, using Azure AI Search and Azure OpenAI, delivers live inventory visibility and ad-hoc impact analysis reports. Finally, the solution improves part interchangeability by recommending smarter reuse strategies, helping enterprises maximize inventory efficiency while improving engineering productivity.
Persona Benefits and Value Creation:
- Product Development Engineer: Reduces design rework by identifying reusable components, avoiding unnecessary part creation, and lowering costs and complexity.
- Design Engineer: Quickly identifies similar components, reduces search effort, and streamlines ECM workflows.
Business Impacts:
- 30% to 35% boost in engineering productivity.
- Up to 80% reduction in drawing search time across different PLM system.
Try our Drawing Match AI solution to simplify design comparisons, improve part reuse, and accelerate smarter engineering decisions.