Turn Business Data into Better Product Discovery
Optimize search and discovery with shopper behavior and business signals to improve relevance and drive business results.
When Search Doesn’t Reflect Your Business Priorities
Relevant results should account for more than how closely a product matches a query. Revenue, conversion, inventory, ratings, and other business signals can help determine which products deserve greater visibility.
Manual adjustments and static rules can struggle to keep pace as conditions change. Teams need a flexible way to use these signals alongside shopper behavior to improve discovery while retaining control over how results are optimized.
Search and Discovery Optimized with Your Data
FindTuner combines business signals such as revenue, conversion, sales rank, inventory, and ratings with search relevance and shopper behavior to optimize search and category results. Choose the signals that matter to your business and adjust their influence as priorities change.
Search teams and merchandisers can configure, visualize, and test ranking strategies through an intuitive interface. Combine automated learning with business control to bring relevant products forward and continuously improve discovery.
Apply data-driven optimization to your existing Elasticsearch, OpenSearch, or Solr implementation.
Bring AI, Business Signals, and Optimization Together
- Combine search relevance with the business metrics that matter to you.
- Use shopper behavior, sales, and inventory signals to adapt results.
- Balance automated learning with control over business priorities.
- Test and refine strategies to improve conversion, engagement, and business performance.
AutoTune
AutoTune learns from shopper behavior, purchase history, and buying patterns to continuously improve search and discovery. Use AI & machine learning to bring relevant products forward and adapt results as shopper interests and trends change.
AutoTune Algorithms
Combine shopper behavior with revenue, conversion, inventory, ratings, and other business signals to shape search and category results. Configure and visualize how each signal influences results through an intuitive interface, and adjust strategies as priorities change.
Test and Refine Optimization Strategies
Use your A/B or multivariate testing framework to compare signal weighting, algorithms, and optimization strategies. Pass test identifiers to FindTuner to apply each strategy and evaluate which performs best for your shoppers.
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What Customers Are Saying
