AI SEARCH | Retail | U.S.

Product Discovery Improved With Semantic Search

A luxury retailer needed shoppers to find products using natural language instead of exact product names. We built a semantic product search layer that understood style, use case, occasion, and product attributes, improving discovery across a large catalog.

Measured outcomes

  • 18% Search conversion lift
  • 4,800+ Products indexed
  • 31% Zero-result searches reduced

Implementation summary

Render Analytics connected the relevant systems, data signals, workflows and reporting logic so the team could make decisions from cleaner evidence and focus on measurable outcomes.