February 4, 2025 
5 min read 
With a catalog of more than 11,000 technical products, Fechtner-Modellbau faced a classic discovery problem: customers couldn’t always find — or compare — the exact part they needed.
By adopting Clerk.io’s AI search and recommendations, the store made its deep catalog genuinely navigable. The result: 54% of orders now come from AI-powered discovery.
The challenge
Technical shoppers know what they want, but large assortments make it hard to surface the right product fast. Manual merchandising couldn’t keep up with the breadth of the catalog.
The approach
- AI search that understands technical terms, synonyms, and typos
- Recommendations that suggest compatible and complementary parts
- Continuous learning from real browsing and purchase behavior
The impact
More than half of orders are now influenced by AI-driven discovery — proof that relevance at scale is possible even for highly technical catalogs.
