Advancements strengthen hybrid search adoption and deliver deeper visibility into shopper behavior and search performance.
Innovent Solutions, a provider of advanced eCommerce search merchandising and optimization solutions, today announced new capabilities for FindTuner, extending its AI-driven search and analytics capabilities with enhanced support for hybrid search along with new insights designed to help retailers better understand shopper behavior and search performance.
As online retailers and B2B sellers increasingly turn to hybrid search, many struggle to move from experimentation to confident, measurable adoption. Teams are often challenged by the complexity of enabling semantic search models and by limited visibility into how AI-driven results perform compared to traditional lexical search. Without clear insight into shopper behavior, or objective ways to evaluate the impact of semantic relevance, merchants are left to make critical search and merchandising decisions with incomplete data. The latest advancements to FindTuner address these challenges by simplifying hybrid search adoption while delivering clearer visibility into shopper behavior and search performance
Built-in Support for OpenAI and Gemini
FindTuner has significantly improved support for hybrid search by introducing built-in integrations with leading embedding models from OpenAI and Google Gemini. These capabilities work seamlessly across Elasticsearch, OpenSearch, and Apache Solr, enabling retailers to activate hybrid search quickly within their existing search infrastructure.
Retailers can enable hybrid search without custom implementation, accelerating time to value for AI-powered, semantic search experiences. FindTuner continues to support any embedding model of a customer’s choice, while the new preconfigured options provide a fast and reliable starting point for organizations adopting hybrid search strategies that combine lexical precision with semantic understanding.
“Retailers want to take advantage of hybrid search, but many struggle with the complexity of getting started,” said Keith Mericle, President of Innovent Solutions. “These advancements in FindTuner remove friction while preserving the flexibility and control retailers need.”
New Insights Deliver Greater Visibility into Shopper Behavior and Search Performance
Additions to FindTuner Insights help retailers better understand how shoppers interact with search and navigation and how different search approaches influence engagement. These insights provide both time-based behavioral visibility and clear performance comparisons, enabling teams to evaluate the impact of hybrid search and make more informed optimization decisions.
Semantic vs. Lexical Click-Through Rate Insight
FindTuner introduces a new click-through rate Insight designed to compare the performance of semantic search results with traditional lexical search. The Insight enables retailers to see how shopper engagement is distributed between semantic and lexical results at the search-term level, helping teams quantify the impact of semantic relevance and make informed optimization decisions.
Shopper Activity Trends Insight
The Shopper Activity Trends Insight provides time-series visibility into key shopper behaviors across search and navigation. By analyzing activities such as searches, clicks, cart additions, and purchases over time, retailers can identify patterns, monitor seasonality, and better understand how engagement evolves. This visibility enables merchandisers and search teams to make informed tuning and merchandising decisions based on real shopper behavior.
“These advancements make hybrid search easier to adopt while giving merchants clearer visibility into how shoppers search, engage, and convert,” Mericle added. “FindTuner pairs practical AI adoption with actionable insights, helping retailers move beyond experimentation to measurable business impact.”
