Hybrid Search That Understands Shopper Intent
Combine keyword precision with AI-powered semantic search. Help shoppers discover relevant products while retaining control over ranking and merchandising.
Why Hybrid Search Matters for Product Discovery
Shoppers don’t always use the same language as your catalog. They may describe a need, use unfamiliar terminology, or search for a concept rather than a specific product. Keyword search alone can miss relevant products when those words don’t align.
Hybrid search combines keyword matching with semantic understanding to surface products that match what shoppers mean, even when their wording differs.
Put Hybrid Search to Work for Product Discovery
FindTuner helps you get started with hybrid search quickly, bringing keyword and semantic results together with accurate faceting, coordinated ranking, and merchandising controls.
Use shopper behavior and business signals to optimize results without having to build and maintain these capabilities yourself. If you already use hybrid search in Elasticsearch, OpenSearch, or Solr, FindTuner can work with your existing implementation to add optimization and control.
Hybrid Search Built for Merchandisers
Hybrid search in FindTuner isn’t just a technical capability, it’s designed to be used by the teams driving the business. With intuitive controls and clear analytics, merchandisers can experiment, measure, and refine hybrid strategies without developer intervention.
- Choose an embedding model suited to your catalog and business needs.
- Control how many products semantic search contributes to the result set.
- Adjust how much semantic relevance scores influence the final ranking.
- Use shopper behavior and business signals, including sales, inventory, and ratings, to optimize product ranking.
- Deliver accurate facets across the combined keyword and semantic results.
AutoTune Hybrid Search
FindTuner AutoTune learns from shopper interactions to improve product ranking across keyword and semantic results. Use behavioral signals to bring products shoppers engage with and purchase higher in the results.
Rank with Business Signals
FindTuner blends keyword and AI search while letting you influence ranking with metrics like revenue, conversions, units sold, inventory, and ratings. Easily utilize shopper behavior and business metrics to dynamically rank results, positively influence conversion, and create the perfect mix of products.
Facets That Work Across Hybrid Results
Enjoy all of FindTuner’s facet customization features to deliver frictionless shopper experiences that are efficient and always on cue. Change the display order of facets. Do the same with facet values. Rename or hide any facet or facet value. Generate dynamic facets from catalog data. Automate all of this using FindTuner AutoTune machine learning.
Recover Zero and Low-Result Searches
When a search returns no or too few results, FindTuner can automatically execute hybrid search to expand and improve the result set. Blend AI-search on demand to recover potentially lost shopper sessions. Ensure consistent results, fewer dead ends, and better chances of conversion.
Test and Refine Hybrid Strategies
Use your A/B or multivariate testing framework to compare hybrid result mixes, weighting, and ranking strategies. Pass test identifiers to FindTuner to apply each strategy and evaluate which performs best for your shoppers.
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