B2B Search Merchandising
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.
Intelligent Merchandising for Every B2B Search
FindTuner transforms search into a controlled, adaptive buying system. It combines behavioral signals, business data, and merchandising strategies to ensure results reflect how B2B customers actually purchase, not just how they search. Search results can incorporate:
- 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
At the same time, teams maintain full control. Merchandisers can promote, demote, or curate results, while automation continuously refines ranking based on real-world behavior.
FindTuner operates as an optimization layer on top of your existing search platform, allowing you to improve relevance, introduce personalization, and scale merchandising strategies without replatforming.
The result is a search experience that reduces friction, accelerates selection, and supports how B2B buyers actually work.
Built for Efficient, Repeatable B2B Buying Experiences
B2B search is not just about product discovery. It’s about helping customers complete purchasing tasks quickly and accurately.
Machine Learning for Continuous Optimization
Continuously see search results improve with machine learning that uses customer behavior, buying patterns, offline purchase data and your analytics. Elevate a customer’s previous purchases to deliver an efficient buying process.
Hybrid Search
Combine traditional keyword search with AI-driven semantic retrieval to better interpret complex queries, technical language, and product intent. Control how hybrid results are blended and ranked to maintain precision while expanding recall.
Promote Important Products
Promote, demote, or pin products and product groups to shape the buying experience. Ensure critical SKUs, high-margin items, or strategic products appear exactly where they need to without relying on rigid rules.
Guided Navigation for Complex Catalogs
Transform large, attribute-rich catalogs into structured buying experiences. Dynamically generate facets, refine navigation paths, and guide users from broad queries to precise product selection.
Account-Aware Personalization
Deliver results tailored to each customer’s context, including location, contract terms, catalog visibility, and purchase history. Support customer-specific experiences without fragmenting your search configuration.
TestimonialS
What Customers Are Saying
