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B2B eCommerce Search

A B2B ecommerce search solution that understands part numbers, technical specs, and what your buyers mean when they type.

Virto Commerce is a B2B ecommerce search solution that finds products by part number, technical spec, or plain-language description. Each buyer sees only what their account can order, at their contract price, with stock shown. You choose the engine behind it: Elasticsearch, OpenSearch, Azure AI Search, Algolia, or the built-in Lucene provider.

How B2B Search Works in Virto Commerce

Every query passes through the same layers before a result reaches the buyer.

  • Intent and wording: AI Intent Search turns a plain-language query into the right filters and categories. A buyer who types "the metric version of the 3/8 fitting we use for line 4" gets the right part with no keyword match.
  • Catalog structure: Matches are mapped to your categories, attributes, and units, so buyers can search inside one brand, one virtual category, in-stock items only, or a single attribute such as material.
  • Account rules: The account's catalog, price list, and role decide what appears. A procurement manager and a retail buyer can type the same words and see different products and prices.
  • Facets and sorting: Catalog managers choose which facets appear, in what order, and the default sort order for each store, in the admin with no developer involved.
  • Relevance tuning: With Elastic App Search, merchandisers also manage synonyms, boosts, and curated results, and see top queries and zero-result searches.

Search runs on the same catalog, prices, and permissions as the rest of the platform. There is no separate search tool to keep in step with your contract rules.

B2B eCommerce Search for Complex Product Catalogs with Technical Specifications

Technical catalogs need search that treats part numbers and attribute values as structured data. These are the four situations B2B product search has to handle most often.

The buyer knows the part number. A maintenance buyer types "6204-2RS" or the first characters of a supplier code. Search has to treat part numbers as exact identifiers and still match partial or reformatted entries. In Virto Commerce, buyers can type a SKU or part number straight into the search bar, and autocomplete suggests products as they type.

The buyer knows the spec but not the number. An engineer needs a 24V DC relay for DIN-rail mounting and has no catalog number. Search has to combine a plain description with attribute filters. Intent Search reads the description, then buyers filter by attributes such as voltage, mount type, or material.

The catalog comes from many suppliers in several languages. A distributor receives supplier data in German, French, and English, each with its own naming. Search has to work across that mix without a manual cleanup of every record. Intent Search maps differently worded queries to the same categories and attributes, and buyers in each market can browse multilingual catalogs in their own language.

The buyer is on the warehouse floor. A store manager restocks with a phone in hand instead of a keyboard. Barcode and SKU scanning finds the product straight from a scan with the phone camera, matching on full text or on a specific product property.

Watch Our Interactive Demo for More Information

Explore search configuration along with the rest of the platform in the interactive demo.

Search Engines Virto Commerce Supports

Virto Commerce ships providers for six search engines and connects others, such as Hawksearch, through the same provider interface. You can set the engine per type of data. Facets, sorting, and account filters work with every engine. Synonyms, curations, and relevance tuning come with Elastic App Search.

Engine When it fits Integration
Lucene Built-in provider for development and smaller catalogs, with no separate cluster to run Built in
Elasticsearch 8 and 9 Large catalogs that need custom scoring, semantic search, and AI recommendations Elasticsearch integration
Elastic App Search Teams that want synonyms, curated results, relevance tuning, and search analytics in a managed console Module
OpenSearch Self-hosted clusters or Amazon OpenSearch Service Module
Azure AI Search (formerly Azure Cognitive Search) Deployments that already run on Microsoft Azure Azure AI Search integration
Algolia Hosted instant search for storefronts with heavy search traffic Algolia integration
Hawksearch Teams that want merchandiser-facing tools and detailed search reporting Hawksearch integration
Another engine Any other provider, connected as a custom module through the provider interface Custom development

Virto Commerce search architecture: storefront, GraphQL Experience API, AI Search Intent Engine and a unified search provider connected to Elastic App Search, Elasticsearch 8 and 9, Azure Search, Algolia, OpenSearch or a custom engine

Search at Catalog Scale

Standaard Boekhandel runs a marketplace catalog of 25 million products on Virto Commerce. Read the Standaard Boekhandel case study.

Search is part of what Virto Commerce offers for B2B ecommerce for distributors. For parts catalogs with vehicle fitment and cross-references, see automotive aftermarket ecommerce. Once a buyer opens a product, product ratings and reviews from customers who ordered it help confirm the choice.

See How Your Buyers Would Search Your Catalog on Virto Commerce