Streamlining Product Discovery with Simmify
A practical example of how Simmify enhances search efficiency for engineering teams managing millions of parts.
Case: Overcoming the Complexity of Large-Scale Part Management
Company X is a leading manufacturer of airplanes. Their flagship airliner is made up of an astounding six million parts. Each part is meticulously recorded in the company’s system, complete with factual data and a brief description. Additionally, each part has associated documentation covering testing results, risk assessments, tolerances, and usage recommendations.
Over time, managing this enormous volume of data has become a significant challenge. Engineers frequently need to locate specific parts and related documentation, but the sheer scale of information makes this a difficult task. So much so that Company X had to create a dedicated team solely responsible for searching through this data repository.
This manual search process creates delays in engineering workflows, with engineers having to rely heavily on the search team to find the right information—slowing down innovation and problem-solving.
Solution: Empowering Engineers with Simmify's Semantic Search
Simmify’s AI-powered semantic search is designed to tackle exactly this kind of challenge. By embedding all of Company X's data—including part descriptions, test results, and related documentation—Simmify enables engineers to conduct their own intelligent searches without needing specialized teams to sift through data manually.
Key Benefits of Simmify:
- Reduced dependency on the search team: Engineers can independently search for parts and documents by describing the part they need in their own words. Simmify intelligently interprets the search context and returns highly relevant results.
- Faster access to information: What previously required a formal request and days of waiting can now be done instantly, speeding up engineering processes and reducing bottlenecks.
- Comprehensive data access: Simmify doesn’t just search for keywords—it understands the meaning of the engineer’s query and retrieves all relevant documents, including test reports, risk analysis, and usage guidelines.
Example Use Case:
When an engineer is working on a design or maintenance task, they can describe the part they are looking for—such as "a specific fastener with high-temperature tolerance"—in simple terms. Simmify will then search through millions of parts and associated documentation to find the most relevant results, without the need for tedious manual filtering or relying on a dedicated search team.
With Simmify, Company X’s engineers can spend more time solving problems and less time searching for the right information. The burden on the archive search team is reduced, and engineering teams are empowered to work more efficiently, leading to faster project completion and innovation.