Bloomreach Discovery

Ecosystem

Enterprise AI product discovery platform covering search, recommendations, and merchandising for high-SKU retail. Part of the Bloomreach Commerce Experience Cloud, with REST APIs for NLP-based catalog search and behavioral ranking.

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Bloomreach Discovery is the search and recommendation component of the Bloomreach Commerce Experience Cloud. It handles product discovery for enterprise retailers with large, complex catalogs where synonym management, attribute-based faceting, and personalization at scale are requirements rather than nice-to-haves.

The platform's search capability includes semantic understanding, NLP query parsing, and behavioral ranking. The relevance model combines text matching with click and conversion signals. Merchandisers configure boost and bury rules, banners, and redirects through the Bloomreach merchandising console. Agents receive search results that reflect the combined output of the ranking model and merchandiser rules, including any active promotional logic.

Bloomreach Discovery's recommendation module generates product suggestions across several strategies: most viewed, best sellers, recently viewed, related items, and bought-together. Recommendations train on aggregate behavioral data across all Bloomreach customers as well as site-specific signals, giving smaller merchants access to cross-merchant behavioral training while letting enterprise retailers weight their own data more heavily.

The Pathways API is a distinctive feature. Pathways allows retailers to define guided discovery sequences: multi-step navigation paths that lead buyers from broad categories to specific products through a sequence of narrowing filters. For agents handling complex purchase decisions with many product attributes, Pathways provides a structured discovery flow that mirrors expert buyer behavior rather than open-ended keyword search.

Why This Matters for UCP

Bloomreach Discovery provides enterprise-grade product search and recommendation APIs for high-SKU retail environments, giving agents access to NLP-based query handling and behavioral ranking at the scale complex catalog merchants require before UCP checkout.

UCP Capabilities

product discovery

UCP Endpoint

Ecosystem — Endpoint not yet publicly available

Integration Example

// Bloomreach Discovery REST API for enterprise product search.
// Agents query indexed catalogs with NLP and receive behaviorally ranked results.

const BR_API = 'https://core.dxpapi.com/api/v1/core';

// Product search
const searchParams = new URLSearchParams({
  account_id: process.env.BLOOMREACH_ACCOUNT_ID!,
  auth_key: process.env.BLOOMREACH_AUTH_KEY!,
  domain_key: process.env.BLOOMREACH_DOMAIN_KEY!,
  request_type: 'search',
  q: 'leather boots size 10',
  fl: 'pid,title,price,url,thumb_image,is_available',
  rows: '10',
  fq: 'is_available:"1"',
  _br_uid_2: 'agent_session_id_001',
});

const results = await fetch(BR_API + '?' + searchParams).then(r => r.json());

console.log('Total results:', results.response?.numFound);
results.response?.docs?.forEach((product: any) => {
  console.log(product.title, '$' + product.price, product.pid);
});

// Product recommendations
const recoParams = new URLSearchParams({
  account_id: process.env.BLOOMREACH_ACCOUNT_ID!,
  auth_key: process.env.BLOOMREACH_AUTH_KEY!,
  domain_key: process.env.BLOOMREACH_DOMAIN_KEY!,
  request_type: 'widget',
  widget_type: 'item',
  widget_id: 'also_viewed',
  item_ids: results.response?.docs?.[0]?.pid || '',
  fl: 'pid,title,price',
  rows: '5',
});

const recs = await fetch(BR_API + '?' + recoParams).then(r => r.json());
console.log('Related items:', recs.widgets?.[0]?.response?.docs?.length);

Reviews

★★★★★4.7 (3 reviews)

These are illustrative examples to show what reviews will look like. Submit your own experience below.

J. Santos

Senior Engineer · Feb 28, 2026

★★★★★

Integration was straightforward. The UCP endpoint discovery works as documented and checkout completes in under 2 seconds.

M. Lee

Backend Developer · Mar 3, 2026

★★★★★

Works well for our use case. The documentation is accurate and the implementation matches what the spec describes.

R. Kapoor

Platform Engineer · Jan 15, 2026

★★★★★

Integrated in an afternoon. Solid implementation with no unexpected edge cases in production.

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