SAP Commerce Cloud and Solr optimization, relevance tuning, and merchandising solutions that improve product discovery, shopper experience, and conversion.
Search in SAP Commerce Cloud powered by Apache Solr is often expected to “just work,” but delivering highly relevant product discovery experiences at scale can quickly become challenging as catalogs grow, shopper behavior changes, and merchandising demands increase.
Default Solr configurations frequently require additional tuning and optimization to improve relevance, autocomplete quality, facet behavior, category navigation, and overall shopper experience. Many teams struggle to understand where to begin, how to measure improvements, or how to balance business priorities with search relevance.
Our team helps organizations optimize SAP Commerce and Solr environments through proven relevance engineering, search optimization, and merchandising strategies that deliver measurable improvements quickly and efficiently.
Using a combination of Solr expertise, search analytics, and proven optimization methodologies, we systematically improve search quality and product discovery performance across SAP Commerce storefronts.
Our team works closely with business stakeholders, merchandisers, and technical teams to evaluate shopper intent, catalog structure, query behavior, and business priorities to deliver practical, measurable improvements in relevance and usability. Areas commonly addressed include:
FindTuner for SAP Commerce Cloud provides advanced merchandising and AI-driven optimization designed to continuously improve product discovery and shopper experience.
Merchandisers and search teams can improve search and category performance, promote strategic products, personalize shopper journeys, and refine relevance without relying on lengthy development cycles or constant manual Solr tuning. FindTuner combines business control with machine learning to continuously improve search performance by delivering:
Learn more at findtuner.com.
Enhance SAP Commerce and Solr with advanced relevance tuning, AI-driven optimization, and merchandising controls that continuously improve shopper experience.