Optimize Spryker search and product discovery with behavioral intelligence, hybrid search, business signals, actionable insights, and control.
B2B buyers need to find the right products across extensive catalogs, technical attributes, and specialized terminology. Some arrive with an exact part number. Others search by product type, application, or specification. Across countries and languages, terminology and buying priorities can vary.
Spryker provides a flexible commerce foundation. FindTuner integrates directly into Spryker’s existing search architecture, adding continuous optimization and business control to help teams improve product discovery, respond to buyer behavior, and align search experiences with the needs of each market.
FindTuner builds on Spryker’s Elasticsearch or OpenSearch foundation with behavioral intelligence, hybrid retrieval, business signals, and actionable insights. It helps business teams shape search and category experiences while supporting the precision and relevance B2B buyers expect.
FindTuner AutoTune learns from buyer behavior, purchase history, engagement, and business signals to continuously refine product ranking. Teams can intervene when needed to promote priority products, curate results, and respond to changing inventory, demand, and commercial objectives.
FindTuner adds an optimization layer to Spryker search environments using Elasticsearch or OpenSearch. Bring behavioral learning, search merchandising, and actionable insights to your existing commerce architecture while enabling business teams to manage and improve product discovery directly.
FindTuner AutoTune continuously improves search results using buyer behavior, purchase history, engagement, and business signals. Machine learning helps rankings adapt to changing demand and purchasing patterns, reducing manual tuning while keeping business teams in control.
Combine lexical and semantic retrieval to support different ways of searching. Preserve the precision needed for product codes and technical terms while improving discovery when buyers describe a need using different language than the catalog. Preserve accurate facets and the business control needed to shape the overall discovery experience.
Give digital teams a user-friendly interface to pin, boost, bury, exclude, and curate products across searches and categories. Adjust product visibility, launch campaigns, and respond to changing priorities without waiting for a development cycle. Move day-to-day tasks from developer-managed configuration into the hands of the people responsible for commercial outcomes.
Tailor search and discovery to the markets you serve. Create one strategy for multiple countries and languages, then tailor individual markets where needed. Optimize product rankings, visual navigation, featured products, banners, and other discovery experiences with market-relevant selections and localized messaging.
Apply optimization and merchandising strategies to the searches, categories, audiences, and contexts where they are most relevant. Use buyer segments, query behavior, navigation context, product attributes, country, language, and other available signals to deliver focused experiences. Where customer or account context is available, use it to support strategies for different buyer groups.
Incorporate revenue, popularity, inventory, availability, and other business signals into product ranking. Use search and buyer analytics to identify underperforming queries, understand engagement, evaluate changes, and prioritize opportunities to improve product discovery and purchasing outcomes.
FindTuner integrates downstream of Spryker’s Publish & Sync pipeline and works with your existing Elasticsearch or OpenSearch environment through the FindTuner ECO module. This preserves core data pipelines and the transactional database layer while giving business teams powerful search optimization and merchandising control. Our launch services provide the implementation, configuration, development support, education, and knowledge transfer needed to deploy FindTuner successfully.