Supplier Finder Assistant

Problem It Solves

Supplier discovery often fails not because companies are missing, but because records are scattered across search engines, B2B platforms, industry directories, social profiles, and customs data. The result is a messy list with duplicates, unclear legal entities, and mixed roles such as factories, traders, brands, and intermediaries. This skill turns that process into a repeatable workflow for procurement, trade, and supply-chain research.

How It Works

It starts by generating multilingual keyword variations from a product term, such as {product} manufacturer, {product} OEM, and {product} HS code supplier, then searches across channels including search engines, B2B marketplaces, company databases, and social or content platforms. Key steps include:

• Multi-channel retrieval: combines sources like Google, Alibaba, Made-in-China, customs data, and LinkedIn.
• Deduplication: merges repeated company records and prefers official websites or the most complete data source.
• Filtering: keeps entries with company name, product information, contact, or website; removes thin pages and low-quality intermediaries.
• Classification: marks records as manufacturer, trader, or brand for follow-up.
• Structured output: emits JSON fields such as name, region, type, products, source, and link, which are easy to import into a sheet or script.

Limits

It is best treated as a supplier lead-discovery workflow, not a verification system for factory credentials, capacity, payment terms, or sample quality. For regulated products such as food, pharma, or chemicals, add manual checks for certifications, HS code evidence, and compliance documents.