Developed a comprehensive CRM system for optimizing business processes, client accounting, and sales management. The project was created from scratch with an emphasis on data storage reliability, fast query processing, and a user-friendly interface for managers.
Main functionality of the platform:
Analytical Dashboard: The main panel for a quick overview of key metrics, statistics, and the overall state of the business in real-time.
Deal Management: A full-fledged deal tracking system. A user-friendly interface has been implemented with sorting capabilities, instant search, and status changes at various stages of the sales funnel.
Financial Calculation: Built-in forms for creating/editing deals with a module for automatic profitability and expense calculation.
Counterparty Database: Structured and secure storage of client, supplier data, and interaction history with them.
Technical stack and architecture:
Backend: Python, Django (clean architecture, secure session handling and authorization).
Database: PostgreSQL (designed scalable relational structure).
Infrastructure (DevOps): Docker, Docker Compose (the project is fully containerized and ready for instant deployment on any server).
Tools: Use of the modern package manager uv for environment optimization.
The system has a high level of security, clean code, and is easily scalable to new business requirements (for example, for future integration with external service APIs or payment systems).
#python #django #crm #postgresql #docker #webdevelopment #backend #b2b #businessautomation #database
Main functionality of the platform:
Analytical Dashboard: The main panel for a quick overview of key metrics, statistics, and the overall state of the business in real-time.
Deal Management: A full-fledged deal tracking system. A user-friendly interface has been implemented with sorting capabilities, instant search, and status changes at various stages of the sales funnel.
Financial Calculation: Built-in forms for creating/editing deals with a module for automatic profitability and expense calculation.
Counterparty Database: Structured and secure storage of client, supplier data, and interaction history with them.
Technical stack and architecture:
Backend: Python, Django (clean architecture, secure session handling and authorization).
Database: PostgreSQL (designed scalable relational structure).
Infrastructure (DevOps): Docker, Docker Compose (the project is fully containerized and ready for instant deployment on any server).
Tools: Use of the modern package manager uv for environment optimization.
The system has a high level of security, clean code, and is easily scalable to new business requirements (for example, for future integration with external service APIs or payment systems).
#python #django #crm #postgresql #docker #webdevelopment #backend #b2b #businessautomation #database