Elastic Path Search
Unlike bolt-on search tools, Elastic Path Search integrates directly with your catalogs, pricing, and shopper context — so personalized, context-aware discovery works out of the box.
When search lives inside your catalog, everything stays aligned, automatically. There's no integration layer to build, no sync jobs to monitor, and no drift between what's in your catalog and what shoppers find. This is the fundamental difference. Standalone search vendors index a copy of your data. Elastic Path Search is your catalog data live, structured, and always current.
When you publish a catalog, search indexes update in the background. No manual triggers, no pipelines, no delays.
Search understands your catalog hierarchy, categories, and product relationships — not just flat product data.
Alias-based routing means shoppers never experience stale results during updates.
Catalog rules and shopper context determine which catalog a shopper searches against, so every query returns the right products for that shopper's world.
Every shopper gets the right products, at the right price, in the right context — without custom engineering.
Price book waterfall logic resolves the correct price per shopper at query time — segment-aware, currency-aware, no stale data.
Search profiles let you tune field weighting, boost products, and apply business rules per audience or campaign.
Serve tailored search experiences across DTC, B2B, trade, mobile, and web.
Catalogs are automatically indexed on publish. Multiple catalogs supported, routed by catalog rules.
Choose which product fields drive results — name, material, category, SKU, or any custom attribute.
Shoppers see instant suggestions as they type, and configurable suggestions guiding them to the right products faster.
Filter by size, color, material, price, or any attribute. Sort by relevance, price, or bestsellers.
Configure distinct search behaviors per storefront, audience, or campaign — with a draft, validate, and promote workflow.
Boost products, collections, or brands. Real merchandising control via configuration.
Serve different search behavior by storefront or channel — Trade vs. DTC, web vs. mobile.
Test real shopper queries and confirm results before any search change reaches production.
Correct price per shopper resolved at query time via waterfall logic. Currency-aware, segment-aware.
Elastic Path Search is designed for:
Standalone search vendors operate outside your commerce platform. They index a copy of your catalog data, which means you need to build and maintain integrations to keep products, pricing, and catalog structure in sync. Elastic Path Search is built directly into the platform — it inherits your catalog structure, rules, pricing logic, and shopper context natively. Personalization, segmentation, and dynamic pricing work automatically without custom engineering.
No. Indexing happens automatically when you publish a catalog. There are no manual triggers, sync jobs, or pipelines to maintain. If a publish succeeds, your search index is up to date. Schema evolution is also handled automatically.
Search Profiles let merchandisers configure how search behaves for different audiences, channels, or campaigns — without code changes. You can control field weighting, boost specific products or collections, apply business rules, and target different segments. Each profile follows a draft → validate → promote workflow so you can test changes before they reach production.
Pricing is resolved automatically at query time using Elastic Path's price book waterfall logic. Based on the shopper's context — segment, currency, channel, and account — the correct price is applied to each product. There's no need to build custom pricing logic or worry about stale price data in your search index.
Yes. Catalog Rules and Shopper Context route each shopper to the correct catalog automatically, and Search Profiles let you apply different relevance, boosting, and business rules per audience. For example, a B2B trade portal can emphasize contract-grade products while a DTC storefront emphasizes bestsellers — all from one platform.
Elastic Path Search delivers sub-100ms query response times. The architecture supports independent scalability for indexing and query traffic, multi-node clusters for high availability, and zero-downtime re-indexing.
Yes. Typeahead is built in — shoppers see relevant suggestions as they type, including product names, categories, and terms that guide them toward the right results.
Yes. Search Profiles are designed for merchandisers to configure relevance tuning, product boosting, campaign merchandising, and business rules independently. The draft → validate → promote workflow gives them a safe way to test and deploy changes.