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AI USE CASE
In-product semantic search
Replace keyword search in your product with natural-language understanding.
What it is
Embeddings + a small LLM let users search your product, catalogue or knowledge base with conversational queries ("red dress under €100 for a wedding") and get accurate results. Conversion or task-completion rates typically improve 15–30%.
Data you need
Catalogue or content with structured metadata; query logs help.
Required systems
- ecommerce platform
- data warehouse
Why it works
- Hybrid lexical + semantic ranking
- Re-index nightly with monitoring
How this goes wrong
- Embedding drift after big catalogue changes
- Latency above 500ms kills the UX
When NOT to do this
Skip if your catalogue has under 500 items — keyword search works fine.
Vendors to consider
This use case is part of a larger Data & AI catalog built from 50+ enterprise transformation programs. Take the free diagnostic to see how it ranks against your specific context.