B2B Search & Discovery Optimization
Deliver precise, account-aware search experiences that support complex catalogs, repeat purchasing, and efficient product selection.
The Challenges of B2B Search
B2B search operates under very different conditions than retail. Buyers aren’t browsing casually, they’re trying to find the exact product, often under time pressure, using part numbers, specifications, or internal terminology.
At the same time, results must reflect account-specific realities: contract pricing, inventory availability, regional constraints, and customer-specific catalogs.
Large, attribute-heavy catalogs add another layer of complexity. Products vary by size, material, configuration, and compatibility, and buyers expect search to guide them quickly to the right selection not just return a list of loosely related items.
Traditional search approaches struggle in this environment. Static ranking models, generic relevance tuning, and one-size-fits-all results fail to adapt to account context, buying patterns, or operational data.
B2B organizations need a system that can interpret intent, apply business context, and continuously optimize results without relying on constant manual intervention.
B2B Search and Discovery Optimized with FindTuner
FindTuner combines buyer behavior, business signals, and merchandising strategies to make search results more relevant to how your customers purchase. Search results can incorporate account, product, and business data from your existing systems:
- Account-specific pricing, availability, and catalog visibility
- Purchase history and repeat buying patterns
- Product relationships, compatibility, and bundling opportunities
- Business priorities such as margin, inventory, or strategic SKUs
Search teams and merchandisers retain control over product visibility and ranking while automated learning adapts results to buying patterns. Promote strategic products, curate key searches, and tailor experiences to customer needs and business priorities.
FindTuner adds these capabilities to your existing Elasticsearch, OpenSearch, or Solr implementation, helping you continuously improve B2B search and discovery without replatforming.
Built for Efficient, Repeatable B2B Buying Experiences
Help buyers find precise matches, explore relevant options, and reorder efficiently with search and discovery optimized for how they work.
AI & Machine Learning for Continuous Optimization
Use AutoTune to learn from buyer behavior, buying patterns, and online and offline purchase data. Continuously refine results as demand changes, and bring previously purchased products forward to make repeat buying easier.
Hybrid Search
Combine keyword precision with AI-powered semantic understanding to help buyers find products using technical terms, descriptive queries, or unfamiliar language. Control how keyword and semantic results are blended and ranked to broaden discovery while preserving precise matches.
Promote Important Products
Promote, demote, pin, or exclude products and product groups to support customer needs and business priorities. Give strategic SKUs, preferred brands, and relevant alternatives greater visibility through flexible merchandising controls.
Guided Navigation for Complex Catalogs
Help buyers navigate large, attribute-rich catalogs with relevant facets and clear visual choices. Surface useful specifications, refine navigation paths, and guide buyers from broad searches to focused product selection.
Account-Aware Personalization
Use account context from your existing systems, including location, contract terms, catalog visibility, and purchase history, to tailor search and discovery. Adapt experiences for individual customers or buyer groups while managing strategies through a shared set of controls.
TestimonialS
What Customers Are Saying
