Case Study - Schema-Enforced Lead Data Validation at Scale
We built a system that ingests messy lead data from diverse sources, standardizes it to buyer-defined schemas, and validates every field against typed rules—managed through an admin UI.
What we did
- React
- Laravel
- MySQL
- Python (for ML components)
- Redis
- Reduction in lead processing time (client-reported)
- 90%
- Decrease in lead rejection due to formatting issues (client-reported)
- 85%
- Reduction in operational costs for data handling (client-reported)
- 65%