Situation
Sales teams were spending thousands of hours manually scraping targets, evaluating fit, and attempting to determine if responses were positive or negative.
Intervention
Built an unsupervised AI crawler that gathered targets, evaluated their relevance based on strict criteria, analyzed response sentiment, and ranked them autonomously in a database.
Architecture
- HTTP-request-based web crawler for continuous live data ingestion
- Custom AI algorithms for complex relevance and sentiment scoring
- Automated database pruning and self-cleaning for stale leads
- Daily automated reporting pipeline dispatching insights to stakeholders
Results
- Completely eliminated all manual lead qualification processes.
- System ran unsupervised with zero day-to-day human intervention.
- Significantly increased the overall volume and quality of viable targets.