ALL CASE STUDIES
// AI AUTOMATION·2025
Automated Buyer Sourcing Tool
Custom web tool using AI to identify, score, and qualify furniture buyers from public directories and trade databases.
Role
AI Automation Specialist
Client
Confidential Manufacturer
Tools
Python · Next.js · OpenAI API · Playwright
THE PROBLEM
Sales team spent 20+ hours weekly manually searching for and qualifying potential furniture buyers.
THE CHALLENGE
Filtering real buyers from noisy trade directory data without missing high-value leads.
THE APPROACH
Built a pipeline that searches directories, extracts company profiles, scores fit with an LLM, and exports qualified leads to CSV/CRM.
PROCESS
01Data source mapping→
02Scraper development→
03LLM scoring engine→
04Web dashboard→
05CRM export integration→
06User training
THE RESULT
Reduced buyer research time by ~80% and improved lead quality consistency.
METRIC
80% time reduction
METRIC
500+ buyers scored weekly
METRIC
30% higher lead conversion
KEY TAKEAWAYS
- ▹Domain-specific scoring beats generic search
- ▹Human review loop prevents false positives