A global automotive supplier needed to bring order to chaos within their enterprise knowledge base. Years of inconsistent data types, scattered storage processes, and limited search capabilities made it difficult for teams to access critical information—slowing innovation and increasing operational friction.

Envorso responded by developing a prototype knowledge tool tailored to the client’s specific data ecosystem. We implemented intuitive search and sorting features, established scalable data management processes, and launched a dynamic knowledge base model with customizable search options.

By integrating Corporate Product System Codes with key hardware metadata, we streamlined data mining and enhanced relevance. We also evaluated AI solutions that could drive actionable insights from engineering data.

The result was a smarter, cleaner, and more accessible knowledge infrastructure. With better data hygiene, user-friendly tools, and future-ready scalability, the supplier can now make faster decisions, reduce redundancies, and unlock more value from their intellectual capital.

“What used to feel like information overload is now structured, searchable intelligence. It’s completely changed how we make engineering decisions."

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