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Storeverse Ecommerce Store

A comprehensive e-commerce solution that includes a fully functional website, an admin dashboard with content management capabilities, and an API for seamless integration with multiple vendors or stores.

Storeverse Ecommerce Store

A comprehensive e-commerce solution that includes a fully functional website, an admin dashboard with content management capabilities, and an API for seamless integration with multiple vendors or stores.

Github Stars Github Stars: 8
Last Commit Last Commit: Jul 6, 2023 -
First Commit Created: Jul 9, 2023 -
Storeverse Ecommerce Store screenshot

Overview:

This project is a comprehensive e-commerce solution that includes a fully functional website, a CMS (Content Management System) for managing website content, and an admin dashboard for managing vendors, products, orders, and sales analytics. The system aims to empower businesses with complete control over their online presence, product management, and sales analytics.

Features:

  • Efficient Content Management: The CMS provides robust content management capabilities, making it easy for administrators to efficiently manage the e-commerce website. It offers features for content creation, customization, and organization.

  • Category Management: Administrators have full control over product categories, allowing them to create, update, and delete categories as needed. This categorization system ensures that products are well-organized and easy to navigate for customers.

  • Product Management: The CMS provides a comprehensive set of tools for managing products. Administrators can easily create, update, and delete product listings, including essential details such as images, descriptions, pricing, and inventory management.

  • Filter Management: Administrators can create, update, and delete filters to enhance the search and filtering capabilities of the e-commerce website. This feature allows customers to find products based on specific criteria like color or size.

  • Billboard Management: Administrators can create eye-catching billboards to highlight promotions, important announcements, or featured products. These billboards can be attached to specific categories or used independently, adding visual appeal and increasing customer engagement.

  • Order and Sales Management: The system provides functionality to view and manage orders, track sales, and generate relevant reports. This feature allows administrators to have a clear overview of their sales and make data-driven decisions.

  • Comprehensive Admin Dashboard: The admin dashboard serves as a centralized hub for managing vendors, categories, products, orders, and sales analytics. It provides a comprehensive overview of the e-commerce platform, giving administrators complete control and valuable insights into their business operations.

  • Vendor/Store Management: Administrators can efficiently manage multiple vendors or stores within the e-commerce platform using the admin dashboard. Each vendor or store can have its own set of categories, products, and dedicated API routes, providing flexibility and scalability for the system.

Installation:

  1. Clone the project repository from GitHub:
git clone [repository_url]
  1. Install the required dependencies:
npm install
  1. Set up the database connection by configuring the database settings in the config.js file.

  2. Run the project:

npm start
  1. Access the website by opening the following URL in your web browser:
http://localhost:3000

Summary:

This e-commerce solution provides businesses with a fully functional website, a CMS for efficient content management, and an admin dashboard for managing vendors, products, orders, and sales analytics. The system offers comprehensive features such as efficient content management, category and product management, filter management, billboard management, and order and sales management. With its user-friendly interface and powerful functionalities, this solution aims to empower businesses with complete control over their e-commerce operations and help them make data-driven decisions.