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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.