19. June 2026
How can quotes for highly configurable products be created efficiently, consistently, and at scale? Our new article addresses exactly this question.
The focus is on a real-world example from the mechanical engineering sector: A digital quoting process was to be enhanced so that customers could independently configure custom product combinations and automatically request a tailored quote based on those configurations. However, it quickly became clear that the real challenge lay not only in the configuration itself, but primarily in the content.
The article explains why traditional document-centric approaches reach their limits when dealing with products that come in many variants, and how CPQ software, DITA, and knowledge graphs can be integrated into a unified content architecture. It highlights how structured content, metadata, and semantic models help deliver quote content in a context-sensitive manner, avoid redundancies, and significantly reduce maintenance efforts.
Read the full article now to learn more about how content is becoming the central infrastructure of digital sales processes.
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