Combine the scale of AI with human curation to manage search synonyms and match shopper intent.
Shoppers don’t always search using your exact product names, categories, or company-specific terminology. They use their own language, use regional terms, common phrases, or broad descriptions that don’t always map cleanly to your catalog. When those terms aren’t understood, even strong search foundations return incomplete or misleading results. The gap between shopper language and product data leads to missed matches, frustrated shoppers, and lost opportunities.
FindTuner gives search teams a nd merchandisers direct control over how search interprets shopper language. Merchandisers can define, refine, and manage synonyms for the terms that matter most, ensuring critical queries return the right products every time.
For broader coverage, FindTuner uses AI to suggest additional synonym relationships across your catalog. Teams decide what to accept, refine, or reject, combining automation with human judgment to guide how search responds to real-world language.
FindTuner empowers merchandisers to manage synonyms at scale without sacrificing control. Merchandisers can carefully curate high-impact terms while using AI-generated suggestions to accelerate discovery across large and evolving catalogs.
This blended approach ensures search understands how shoppers actually describe products, while keeping humans in control of how synonyms are applied and maintained over time.