E-Commerce & Product Data
A seller in Shenzhen lists 'màu xanh' (Vietnamese blue). A buyer in Munich searches 'blau'. Traditional search finds nothing. Concept-based search finds both—they share PanLex concept #4521. LangDex enables cross-lingual product discovery without translating every listing.
The Cross-Border Discovery Problem
- 1Product attributes are text strings: 'Cotton' in English, '棉' in Chinese, 'Coton' in French—search treats them as unrelated
- 2Mapping seller terminology to GS1/GPC product classification requires manual curation at scale
- 3Cross-lingual search requires pre-translating every product into every target language—O(N×M) cost
- 4MT mistranslates technical attributes: 'stainless steel' becomes 'steel without stains' in literal translation
- 5New products sit in localization queues for days before going live in target markets
Concept-Based Attribute Normalization
LangDex maps product attributes to PanLex concept IDs at ingestion time. Color 'Xanh' (Vietnamese) → concept #4521 (blue). Material '綿' (Japanese cotton) → concept #7823 (cotton). At search time, query the concept, retrieve products in any source language. O(1) localization: add one concept mapping, searchable in 5,700+ languages instantly.
Key Capabilities
Attribute→Concept Mapping
Ingest product data in any language. Normalize attributes to concept IDs automatically. No manual translation layer.
Cross-Lingual Search
User queries in Thai, retrieves products listed in Chinese, English, Arabic. Concept-based retrieval, not string matching.
GS1/GPC Bridge
Map merchant terminology to Global Product Classification standards via shared concepts. Compliance automation.
Technical Term Precision
Materials (Polyester, Lithium-Ion), specifications (voltage, thread count) mapped to domain-specific concept sets.
PIM Integration
REST API for Informatica, Stibo, Akeneo, and major Product Information Management platforms.
Zero-Delay Listing
Products go live globally at upload. No localization queue—concept mapping happens at ingestion, not post-processing.
Perfect For
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