Online-Market-Place

A Project Based On Python

Languages

Python3

Tools Used :

VsCode	Syder

1. Introduction:

The Online Shopping System is a Python-based application that simulates an online shopping platform where users can browse products, place orders, and track their orders. The system is designed to serve both customers and administrators, providing a seamless shopping experience and efficient management of product inventory and orders.

2. Features:

• Customer Features:

  • Browse Products: Customers can view a list of available products categorized by type, such as smartphones, watches, and AirPods.

  • Place Orders: Customers can select products, specify quantities, and place orders.

  • Track Orders: Customers can track the status of their orders using order IDs.

• Administrator Features:

  • Login Authentication: Administrators can securely log in to access administrative functionalities.
  • Stock Management: Administrators can update product inventory, including adding new products and adjusting quantities.
  • Order Status Update: Administrators can update the status of orders, such as marking them as shipped or out for delivery.

3. Implementation:

• Data Handling:

  • CSV files are used to store product data, including product details and prices.

  • Separate CSV files are maintained for product data and pricing information to facilitate easy updates and modifications.

• User Interface:

  • The user interface is text-based and interactive, allowing users to navigate through product listings and perform actions such as placing orders and updating inventory.

  • User inputs are validated to ensure data integrity and prevent errors.

• Security:

  • User authentication is implemented for administrators to ensure secure access to administrative functionalities.

  • Sensitive information such as admin credentials is stored securely and not hard-coded in the source code.

4. Technologies Used:

• Python: The core programming language used for implementing the application logic.

• CSV Module: Utilized for reading and writing data to CSV files, facilitating data storage and retrieval.

• Random Module: Employed for generating unique order IDs for each transaction.

• Tabulate Module: Utilized for formatting and displaying tabular data in a structured manner.

5. Future Enhancements:

• Database Integration: Migrate from CSV files to a database management system for improved scalability and performance.

• Graphical User Interface (GUI): Develop a GUI-based interface to enhance user experience and visual appeal.

• Payment Integration: Integrate payment processing functionality to enable secure online transactions.

• Order Management System: Implement a comprehensive order management system to handle order processing, tracking, and fulfillment. 6.Source Code Details Here's a brief point-wise description of the code.

Source Code Details

1. Imports:

   • The code imports necessary modules: csv for CSV file handling, randint from random module to generate random order IDs, and tabulate for tabular data formatting.

2. Data Initialization:

   • Admin credentials and product data are initialized from CSV files.

3. Functions:

read_data_from_csv(filename): Reads data from a CSV file and initializes a dictionary.

Id_Generator(): Generates a random order ID.

• display_product_list(product, prices): Displays a list of products with their prices.

user_input_saver(...): Saves user input data to a CSV file.

check_availability_and_order(...): Checks product availability, takes user input for ordering, and updates the order details.

shopping_process(): Initiates the shopping process for customers.

login_process(): Handles the login process for admins.

write_data_to_csv(filename, data): Writes data to a CSV file.

stock_updation(product_list, filename): Updates product stock.

stock_upadation_Menu(): Displays a menu for stock updation.

update_order_status(order_id, new_status): Updates order status.

track_order(order_id): Tracks an order based on the order ID.

status_updation_menu(): Displays a menu for order status updation.

4. Main Interface:

   • Prompts the user to choose between customer and admin access.
   • If customer access is chosen, it allows the user to browse products or track orders.
   • If admin access is chosen, it requires authentication and allows the admin to update product stock or order status.

5. File Structure:

   • Describes the structure of files used in the project.

6. Usage Instructions: To run your code, follow these instructions:

7. Ensure Python is Installed:

Make sure you have Python installed on your system. You can download it from Python's official website if you haven't already.

2. Install Required Dependencies:

   • Open a terminal or command prompt.
   • Navigate to the directory where your code is located.
   • Run the following command to install the required dependencies:

     pip install tabulate

3. Run the Main Python Script:

   • In the same terminal or command prompt, navigate to the directory containing your Python script (sourcecode.py).
   • Run the script using the following command:

     sourcecode.py

4. Choose User Type:

   • You'll be prompted to choose between customer and admin access.
   • Enter 1 for admin access or 2 for customer access.

5. Follow On-Screen Instructions:

   • Depending on your choice:
     • If you choose customer access, you can browse products, place orders, and track them.
     • If you choose admin access, you can update product stocks or order statuses.

6. Provide Inputs:

   • Follow the on-screen instructions to input relevant information, such as product choices, quantities, and login credentials.

7. Exit the Program:

   • To exit the program, follow the provided exit options.

8. Review Output:

   • After performing actions like placing orders or updating stocks/statuses, review the outputs on the console or in the generated CSV files.

9. Note:

• Make sure to keep the CSV files (iPhoneData.csv, AirpodesData.csv, WatchData.csv, iPhonePriceData.csv, AirpodesPriceData.csv, WatchPriceData.csv, DataBase.csv) in the same directory as your Python script.

By following these steps, you should be able to run your code and interact with the SAT Mobile Shopee application.

Contributors

• Atharva Kote
• Sairaj Naikwade
• Tushar Nagare

Conclusion

The Online Shopping System is a versatile and scalable solution for managing online retail operations. By leveraging Python and various modules, the system provides a robust platform for users to browse products, place orders, and track their purchases. With further enhancements and refinements, the system has the potential to become a comprehensive e-commerce solution catering to a wide range of businesses and customers.

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