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E-Commerce
Smart Product Matcher AI
An intelligent product matching system that goes beyond simple SKU matching to understand product semantics, attributes, and context. Built for e-commerce businesses that manage multi-supplier catalogs and need to automatically match products across different naming conventions and data formats.
n8n
Supabase
OpenAI
Python
PostgreSQL
Redis
The Challenge
E-commerce businesses with multi-supplier catalogs struggled to match products across different naming conventions, units, and data formats — requiring hours of manual SKU mapping.
The Solution
An AI-driven matching engine that understands product semantics, compares attributes intelligently, and automatically suggests high-confidence matches between supplier and retailer catalog entries.
Workflow
1
Ingests product catalogs from suppliers and retailers
2
AI analyzes product names, descriptions, and attributes
3
Scores and ranks potential matches by confidence level
4
Auto-accepts high-confidence matches, flags ambiguous ones
5
Syncs matched products to the master catalog
Technology Stack
n8n
Supabase
OpenAI
Python
PostgreSQL
Redis
Impact & Outcome
Dramatically reduces manual SKU mapping effort, enabling e-commerce businesses to onboard new suppliers in hours instead of weeks.
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