Digitized Bills of Materials (BOM) embedded in the corporate knowledge space to support procurement and sales

Technical drawings in PDF format, data from ERP systems, and other technical documents are transferred into a semantic knowledge space within the company. Through the use of modern technologies, this information is captured in a structured manner, processed, and linked in a context-based way. The solution enables purchasers, sales teams, and other stakeholders to accelerate their tasks, leverage synergies within the company, and thus save costs. At the same time, RFQs are processed faster, manual work is reduced, and well-founded decisions are facilitated.

RH Aero Systems

RH Aero Systems unites over 6 decades of German engineering and American manufacturing excellence, rooted in HYDRO (founded in 1965, Germany) and Rhinestahl (founded in 1967, USA). With 96% engine tooling coverage, 26+ global service centres across 5 continents, 850+ employees, 3,000+ GSE products, and 25,000+ licensed tools in use worldwide, RH Aero Systems stands as a global leader in OEM-licensed tooling and ground-support equipment. As EDI, we are proud to support RH Aero Systems in advancing data-driven efficiency and empowering digital innovation.

Why AI Agents Enable Cross-Departmental Knowledge Management

From PDFs to Knowledge: AI agents based on LLMs and VLMs extract data from technical drawings, bills of materials, SAP systems, and inquiries — eliminating manual transfers.

Faster Inquiries, More Informed Decisions: By querying the semantic knowledge space, AI agents instantly provide answers from drawings, bills of materials, and supplier data.

Future-Proof System: AI agents scale with data, adapt to existing processes, and continuously learn from usage.

Your Questions Answered

Q.

How does the AI system extract data from technical drawings and PDFs?

Our AI leverages Large Language Models (LLMs), Visual Language Models (VLMs) and further Machine Learning (ML)-Algorithms to automatically detect and extract BOMs, tables, and revision notes from technical drawings and PDFs. It structures the data intelligently, eliminating manual effort and reducing errors.

Q.

Can the system connect data from SAP, suppliers, and ticketing systems?

Yes. The system semantically links technical drawings with SAP orders, supplier data, and support tickets, providing a unified overview of parts, revisions, and processes.

Q.

How does the AI improve collaboration between teams?

Teams — engineers, purchasers, and managers — access the same AI-driven knowledge base using natural language queries. Powered by LLMs, it ensures consistent, up-to-date answers, reducing misunderstandings and accelerating RFQs.

Q.

What makes this AI different from traditional OCR or manual data entry?

Unlike OCR, our AI combines LLMs, VLMs and further ML-Algorithms to understand context and relationships in your technical documents. It doesn’t just read text, it recognizes how BOMs, parts, and revisions connect, ensuring higher accuracy, fewer errors, and smarter reuse of legacy data.

Q.

How can the system adapt to our company’s engineering processes?

The system is scalable and customizable, adapting to your workflows, suppliers, and business rules. Powered by LLMs and VLMs, it learns from your data and grows with your needs, supporting tailored processes without complex programming.

Q.

How does the system ensure data security and compliance?

The system runs on-premise or in your private cloud, ensuring full control over sensitive data. The AI systems complies with the EU AI ACTs.

Q.

What technology powers the AI knowledge system?

​Our unique approach combines Large Language Models (LLMs), Visual Language Models (VLMs) and further ML-Algorithms. This technology searches your company data in real time, delivering precise, verifiable answers without the "hallucinations" of classic generic AI models.

Q.

Can the solution integrate with our existing tools and systems?

Yes. The system can connect with SAP, PLM, ERP, and ticketing systems via APIs and pre-built connectors, integrating smoothly into your existing IT infrastructure.

Q.

What is the business impact of using this AI solution?

Customers achieve measurable benefits: faster RFQs, reduced manual data entry, fewer errors, and better reuse of legacy data. By automating repetitive tasks, teams can focus on innovation and strategic projects, driving efficiency and competitiveness.

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