Leverage business metrics to deliver search results that align with performance goals and shopper intent.
Even advanced search platforms can fall short when they treat every product as equal. Retailers need results that reflect not just shopper behavior, but the metrics that matter most, including revenue, conversion, ratings, inventory, and more.
Manual ranking or static rules rarely adapt fast enough to shifting trends and real-time performance. Merchandisers need a smarter way to use business metrics and performance data to influence rankings automatically, transparently, and with control.
FindTuner makes it easy to combine your metrics such as revenue, conversion, sales rank, inventory, ratings, and more with AI-driven relevance to dynamically influence product ordering. Each query or navigation can use these signals to create the optimal mix of products for engagement, profitability, and shopper satisfaction.
Merchandisers can balance algorithmic learning with business goals, using performance data to refine AI results or highlight key products. The result is a continuously optimized search experience that reacts to data, drives uplift, and keeps your strategy in control.
AutoTune delivers the best results with no manual effort by learning from shopper’s behavior, purchase history and buying patterns. Using machine learning models, AutoTune drives the most relevant results, provides better shopping experiences, and responds quickly to trends.
AutoTune Algorithms enable merchandisers to optimize search results and dynamically rank products with an easy to use interface that makes tuning and testing algorithms simple.
Easily pass data to FindTuner to execute multivariate tests and find the best strategy for your shoppers.