Optimize product discovery and boost revenue with intelligence that learns from every interaction.
Delivering consistently relevant search results requires understanding thousands of data points, from shopper intent and behavior to product performance and availability. Yet many teams rely on manual adjustments that can’t keep up with changing trends or shopper expectations.
As product catalogs grow and shopper journeys evolve, maintaining accuracy and engagement becomes increasingly complex. Retailers need intelligence that adapts automatically, learns continuously, and scales effortlessly so every search reflects the latest signals that drive discovery and conversion.
FindTuner brings automation and insight together to keep every search result tuned for engagement and performance. Its AI and machine learning models analyze clickstream, purchase, and behavior data to understand what shoppers want and adjust results accordingly in real time.
With FindTuner’s hybrid search, lexical precision meets AI-driven understanding. Keyword-based relevance is seamlessly blended with semantic intelligence from any vector model, ensuring shoppers find what they mean, not just what they type.
And while FindTuner optimizes automatically, merchandisers remain in control with capabilities to influence outcomes using metrics such as revenue, sales rank, inventory, and ratings. The result is a continuously improving search experience that combines automation and adaptability for measurable business impact.
From automation to insight, FindTuner combines data-driven learning with merchandiser control to deliver results that evolve with your business.
You can configure FindTuner AutoTune quickly, feed us your analytics, see improved results immediately and be hands off from the start.