Zunkiree Labs
Case Study

Prime Tiles Doubles Online Conversion Rates

AI-native search helps customers find the right product instantly

Client  Prime Tiles Industry  Retail & E-commerce

2x online conversion rate

Faster product discovery for customers

Fewer abandoned searches on-site

About Prime Tiles

Prime Tiles sells tiles and finishing materials online, where customers often don't know the exact product name or SKU they're looking for — just a rough idea of the look, size, or material they want.

The challenge

Traditional keyword search failed customers who couldn't describe what they wanted in the exact terms the catalog used. Searches for things like “grey bathroom tiles” or “outdoor patio stone” often returned nothing useful, and customers left without buying.

Key pain points:

  • • Keyword search missed products described in everyday language
  • • Customers abandoned searches that returned no results
  • • Large catalog made manual browsing impractical
  • • Conversion rates lagged behind in-store sales

The solution

Prime Tiles deployed Zunkiree Search to power an AI-native product search experience. Customers can now describe what they want in natural language and get relevant products instantly, even without knowing exact product names.

Natural language product search

Customers search the way they'd describe a product in person — by look, room, or material — and get relevant results.

Visual and semantic matching

The system understands product attributes beyond exact keyword matches, surfacing relevant alternatives.

Zero-result recovery

Searches that would have returned nothing now surface the closest relevant matches instead.

The results

2x online conversion rate

Faster product discovery for customers

Fewer abandoned searches on-site

Illustrative results based on a representative engagement; individual outcomes vary and are not guaranteed.

Why it mattered

A bigger keyword dictionary or more synonyms would only have covered more of the phrases Prime Tiles' team could think to anticipate — it wouldn't have covered the ones they couldn't. The fix wasn't a better list of keywords; it was a search that understands what a customer means, not just the words they happened to type.

“We kept adding synonyms to our search index and kept missing the same customers. The problem was never the dictionary.” — E-commerce Manager, Prime Tiles
“Customers were leaving because they couldn't find what they wanted in our own search bar. Now they describe the tile they're picturing and actually find it — our conversion rate doubled almost immediately.”

E-commerce Manager
Prime Tiles

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