This Sales Monitoring System is a comprehensive web application designed to help businesses monitor and manage sales data efficiently. It allows sales managers to track team performance, manage customer relationships, handle invoices, and analyze sales through various data visualizations.

• Dashboard: Provides a summary of key sales metrics and performance indicators.
• Team Management: Manage sales team members, including adding new members, editing profiles, and assigning roles.
• Customer Management: Keep track of customer information and manage customer relationships.
• Invoices: Generate and review invoices for transactions.
• Sales Analytics: Visualize sales data through bar charts, pie charts, and line graphs.
• Secure Authentication: Login and registration system to ensure secure access to the application.
• Responsive Design: The interface is fully responsive and supports various devices and screen sizes.

• Frontend: React.js, Material-UI, Nivo for data visualization.
• Backend: Django REST Framework for handling API services.
• Database: PostgreSQL.
• Authentication: JWT (JSON Web Tokens) for secure authentication and session management.

• Node.js
• Python 3.8 or higher
• PostgreSQL

1. Clone the repository

   git clone {link}
   cd your-project-repo

2. Setup the backend

   Navigate to the backend directory:

   cd backend

   Install dependencies:

   pip install -r requirements.txt

   Set up the database:

   createdb sales_tool
   psql -U postgres -d sales_tool -f path/to/SalesTool.sql

   Start the Django server:

   python manage.py runserver

3. Setup the frontend

   Navigate to the frontend directory:

   cd ../frontend

   Install dependencies:

   npm install

   Start the React development server:

   npm start

   This will run the frontend on http://localhost:3000.

After starting both the backend and frontend servers, navigate to http://localhost:3000 in your browser to access the application. Log in or register a new account to begin managing your sales data.

To set up the PostgreSQL database:

• Ensure PostgreSQL is installed and running.
• Use the createdb command to create a new database named sales_tool.
• Import the database schema and data from the SalesTool.sql file using the psql command.