Python-based project developed to automate the analysis and prioritization of commercial leads, reducing manual processing time and increasing sales team efficiency.
Lead Ingestion: Reads leads from JSON files (easily adaptable to other sources).
Data Validation: Prevents entry errors and ensures data integrity.
Automated Lead Scoring:
Report Generation: Automatically generates a results file (resultado.txt).
Interactive Terminal: User-friendly command-line interface.
Lead Registration: Ability to register new leads directly through the system.
To simulate a real-world commercial operation where leads are received and need to be analyzed and prioritized rapidly.
The system automates this decision-making process, allowing for:
Reduction of human error.
Increased productivity.
Efficient prioritization of high-value prospects.
Generation of actionable insights for sales teams.
High Income + High Interest → 🔥 Hot
Average Income → 🟡 Warm
Low Income → ❄️ Cold
Python: Logic and automation.
JSON: Data persistence and storage.
Clone the repository: git clone https://github.com/VictorViapiana/lead-classifier-automation.git
Run the application: python main.py
Contributions, issues, and feature requests are welcome! Feel free to check the issues page.