Lead generation automation
Stack: Make.com + OpenAI (GPT) + Snov.io + Airtable + HTTP/JSON
The Problem: Missing or incomplete lead data (emails, company info) was stalling the sales process and requiring manual research.
The Solution: I built an autonomous enrichment engine with "Smart Fallback" logic:
Primary Sync: System first queries Snov.io for verified emails and profiles.
AI Fallback: If data is missing, the workflow triggers OpenAI to analyze web data via HTTP requests and extract missing insights.
Data Structuring: All unstructured data is parsed into clean JSON and synced to Airtable.
Duplicate Control: Advanced filtering ensures no record is overwritten or duplicated.
The Outcome:
100% Data Coverage: If the database fails, AI takes over.
Zero Manual Research: Sales reps get "ready-to-use" leads automatically.
Complex Logic: Demonstrates mastery of Routers, API integration, and AI orchestration.
The Problem: Missing or incomplete lead data (emails, company info) was stalling the sales process and requiring manual research.
The Solution: I built an autonomous enrichment engine with "Smart Fallback" logic:
Primary Sync: System first queries Snov.io for verified emails and profiles.
AI Fallback: If data is missing, the workflow triggers OpenAI to analyze web data via HTTP requests and extract missing insights.
Data Structuring: All unstructured data is parsed into clean JSON and synced to Airtable.
Duplicate Control: Advanced filtering ensures no record is overwritten or duplicated.
The Outcome:
100% Data Coverage: If the database fails, AI takes over.
Zero Manual Research: Sales reps get "ready-to-use" leads automatically.
Complex Logic: Demonstrates mastery of Routers, API integration, and AI orchestration.