Uses customer shopping behavior and other custom data to train machine learning models.
Receives Convert models via API, then stores and runs them within your environment for optimal speed and performance.
Sends Solr query results to the Relevance Engine to be ranked, then updates Solr with ranked results.
Adjust business objectives and tune your ranking models for top performance. Enables insight, experimentation, and optimization.
Capitalize on demographic and targeted data to created a unique experience for each user, account, or segment.
Objective measurement of search relevance and quality using industry-established, quantitative scores.