European Wholesale Data Pipeline

Problem

The sales team at a Madrid tech distributor needed wholesale buyer contacts across fragmented European directories. Manual research took days per market and produced inconsistent spreadsheets that slowed outbound.

What I built

• ›Mapped wholesale distributors across European mobile spare parts markets using structured web scraping.
• ›Used AI tools to classify wholesaler types and standardize contact fields (company, role, email, region).
• ›Designed deduplication and export rules so lists imported cleanly into HubSpot without manual cleanup.
• ›Documented the workflow so the team could refresh lists quarterly without restarting from scratch.

Result

Cut manual research from days to hours per market run and delivered an organized, CRM-ready database for targeted B2B prospecting across multiple EU countries.

What I learned

Data quality beats volume for B2B outreach — a smaller, verified list with consistent fields converts better than a massive messy export. AI classification works best with a human-reviewed sample set first.