Bring continuous optimization to Drupal Commerce across Elasticsearch, OpenSearch, and Solr with behavioral intelligence, hybrid search, actionable insights, and control.
Drupal Commerce gives retailers the flexibility to build highly customized B2C and B2B shopping experiences using Elasticsearch, OpenSearch, or Solr as the underlying search platform. These technologies provide a strong retrieval foundation, but effective product discovery also requires search to adapt to shopper behavior, changing demand, catalog language, and business priorities.
Continuous eCommerce search optimization brings these elements together to improve relevance, reduce friction, and help shoppers move more efficiently from a search or category to the right products.
FindTuner adds a continuous optimization layer to Drupal Commerce across Elasticsearch, OpenSearch, and Solr. Behavioral intelligence, hybrid retrieval, business signals, and actionable insights improve search and product discovery while giving business teams control when strategy demands it.
Search teams can continuously improve relevance, promote and curate products, shape category experiences, target specific audiences and contexts, and measure which changes improve performance.
FindTuner connects to Drupal Commerce through the FindTuner module and works with its existing Elasticsearch, OpenSearch, or Solr search flow. Teams can add continuous optimization, hybrid retrieval, actionable insights, and business control without replacing Drupal Commerce or the underlying search platform.
FindTuner AutoTune continuously improves Drupal Commerce search results using shopper behavior, purchase history, engagement, and business signals. Machine learning helps search adapt to changing demand and buying patterns, reducing manual tuning while keeping teams in control when strategy demands it.
Combine lexical and semantic retrieval to better understand shopper intent and improve results when shoppers use different language than the product catalog. FindTuner blends keyword and vector-based results while preserving accurate facets and the business control needed to shape final rankings.
Improve product discovery with facets and filters that reflect the products available for each search or category. Automatically prioritize useful product attributes, personalize facet ordering using shopper behavior, and curate facets and values when business objectives require it.
Give business teams direct control over product visibility when strategy demands it. Promote, pin, bury, exclude, and curate products for specific searches, categories, brands, campaigns, and shopping contexts.
Apply optimization and merchandising strategies to the searches, categories, audiences, and contexts where they are most relevant. Target experiences using shopper segments, query behavior, navigation context, product attributes, and other available signals.
Incorporate revenue, ratings, popularity, inventory, availability, and other business signals into product ranking. Use search and shopper analytics to identify underperforming experiences, evaluate changes, and prioritize the opportunities most likely to improve conversion and revenue.
FindTuner works with Drupal Commerce deployments backed by Elasticsearch, OpenSearch, or Solr and integrates through the FindTuner module. Search requests are processed through the FindTuner Optimizer while maintaining the existing Drupal Commerce search flow. Our launch services provide the implementation, configuration, development support, education, and knowledge transfer needed to deploy FindTuner successfully.