How Faircado Scaled Smarter Search with Claro AI

Faircado’s mission is simple but transformative: make second-hand shopping as seamless as buying new.
Behind that mission lies an enormous challenge — how to make sense of tens of millions of products coming from different sources, each with inconsistent titles, categories, and formats.

Faircado needed a way to turn messy, fragmented inventory data into a structured, intelligent catalog that could power fast, accurate, and user-friendly search experiences.

That’s where Claro AI stepped in.

Challenge: Organizing 50 Million+ Items Into a Unified Structure

Faircado aggregates over 50 million second-hand products from various marketplaces and partners.
Each data source used its own taxonomy, schema, and attribute naming conventions.
As a result, product discovery suffered:

• Many items were misclassified or duplicated

• Search results were incomplete or irrelevant

• New items were hard to index quickly

To fix this, Faircado needed a solution that could:

• Normalize and clean incoming data

• Map every item into a multi-level, dynamic taxonomy (6+ levels, 20,000+ categories)

• Classify new products and search queries in real time

Solution: Enriching, Mapping, and Classifying with Claro AI

Claro partnered with Faircado to design a scalable data enrichment and taxonomy classification pipeline powered by AI.

The work was divided into two main parts:

1️⃣ Multi-Level Taxonomy Mapping

Claro’s platform processed and normalized Faircado’s massive inventory, automatically assigning each product to the right family, category, and subcategory across a six-level taxonomy.

Through AI-driven normalization and classification, we helped Faircado:

• Clean and standardize millions of data entries

• Map 50M+ products across 20,000+ structured categories

• Continuously refine mappings through feedback loops

This created a unified, dynamic taxonomy that accurately reflects how users think and search — not just how suppliers label products.

2️⃣ Real-Time Search Query Understanding

Once the taxonomy was established, Claro helped Faircado improve search relevance by mapping every incoming user query directly to their structured catalog.

Our AI models:

• Extracted key attributes from user queries (e.g., “leather brown boots size 40”)

• Matched intent to the correct category and subcategory

• Linked search context back to Faircado’s inventory in real time

This allowed Faircado’s search engine to deliver more accurate, complete, and intent-aware results — even for vague or incomplete queries.

Results: From Data Chaos to Discovery Precision

By working with Claro, Faircado transformed how its platform understands and serves its users.

They achieved:

• ✅ Normalized and mapped 50M+ product listings

• ✅ Real-time query-to-category mapping

• ✅ Improved search relevance and accuracy

• ✅ Reduced zero-recall rate — users finding what they want more often

• ✅ Higher conversion rates driven by better discovery

After a 4-week A/B test across 10% of Faircado’s live search traffic, the impact of Claro’s enrichment was clear:

• 11%+ increase in product discovery:
  Users were able to find and explore a wider variety of products, significantly increasing the average number of items purchased per session.

• Improved relevance for semantic or incomplete queries:
  Incomplete or typo-filled searches now convert significantly better.
  Claro’s language understanding models handle multilingual input (English and Spanish) and complex domain-specific descriptions, bridging the gap between user intent and catalog precision.

These improvements reduced friction, enhanced user trust, and helped Faircado convert intent into meaningful engagement and sales.

Why This Matters

Ecommerce growth doesn’t come from more data — it comes from better data.
As Faircado scaled, Claro enabled them to keep their search logic in control while evolving beyond keywords and titles.
By enriching, normalizing, and classifying at scale, Claro helped Faircado transform product discovery from reactive to predictive.

About Claro AI

Claro AI helps companies turn messy, unstructured information into standardized, enriched, and actionable data — powering smarter search, classification, and automation.
With Claro, teams can generate AI models, harmonize data, and integrate results via a simple UI or API.

👉 Learn more about how Claro supports scalable, intelligent product discovery at getclaro.ai