Learn2Vibe

How to Build an Ecommerce Platform with Advanced Customer Feedback Analytics

Create a powerful ecommerce solution that goes beyond basic online shopping. This platform features a robust Customer Feedback Collection and Analysis Tool, allowing businesses to gather, analyze, and act on customer insights. Boost sales and customer satisfaction through data-driven decision-making.

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Simple Summary

Build a comprehensive ecommerce platform with an integrated Customer Feedback Collection and Analysis Tool, enabling businesses to gather valuable insights and improve their products and services.

Product Requirements Document (PRD)

Goals:

  • Develop a user-friendly ecommerce platform
  • Implement a comprehensive customer feedback system
  • Provide powerful analytics tools for businesses

Target Audience:

  • Online retailers
  • Customers shopping for products online

Key Features:

  1. User registration and authentication
  2. Product catalog and search functionality
  3. Shopping cart and checkout process
  4. Order tracking and management
  5. Customer review submission system
  6. Feedback analysis dashboard for businesses
  7. Automated sentiment analysis of customer reviews
  8. Trend identification and reporting

User Requirements:

  • Intuitive interface for browsing and purchasing products
  • Secure payment processing
  • Easy-to-use review submission process
  • Clear presentation of product ratings and reviews
  • Detailed order history and tracking information

Business Requirements:

  • Customizable product listings and categories
  • Inventory management tools
  • Access to customer feedback analytics dashboard
  • Ability to respond to customer reviews
  • Export functionality for feedback data and reports

User Flows

  1. Product Purchase Flow:

    • User browses product catalog
    • User adds items to cart
    • User proceeds to checkout
    • User enters shipping and payment information
    • User confirms order and receives confirmation

  2. Review Submission Flow:

    • User logs into account
    • User navigates to purchased product
    • User selects "Write a Review" option
    • User provides rating and written feedback
    • User submits review

  3. Business Feedback Analysis Flow:

    • Business admin logs into dashboard
    • Admin selects date range for analysis
    • Admin views sentiment analysis results
    • Admin explores trend reports and individual reviews
    • Admin exports data or generates report

Technical Specifications

Frontend:

  • Next.js for server-side rendering and improved SEO
  • React for building user interfaces
  • Redux for state management
  • Styled-components for CSS-in-JS styling

Backend:

  • Node.js with Express.js for API development
  • PostgreSQL for relational database management
  • Sequelize as ORM for database interactions
  • JWT for authentication

APIs and Services:

  • Stripe API for payment processing
  • AWS S3 for image storage
  • Natural Language Processing (NLP) library (e.g., sentiment-analyzer) for review analysis

DevOps:

  • Docker for containerization
  • GitHub Actions for CI/CD
  • AWS EC2 for hosting

API Endpoints

  • POST /api/auth/register
  • POST /api/auth/login
  • GET /api/products
  • GET /api/products/:id
  • POST /api/cart/add
  • GET /api/cart
  • POST /api/orders/create
  • GET /api/orders/:id
  • POST /api/reviews/submit
  • GET /api/reviews/product/:id
  • GET /api/analytics/sentiment
  • GET /api/analytics/trends

Database Schema

Users:

  • id (PK)
  • email
  • password_hash
  • name
  • created_at
  • updated_at

Products:

  • id (PK)
  • name
  • description
  • price
  • inventory_count
  • category_id (FK)
  • created_at
  • updated_at

Orders:

  • id (PK)
  • user_id (FK)
  • total_amount
  • status
  • created_at
  • updated_at

OrderItems:

  • id (PK)
  • order_id (FK)
  • product_id (FK)
  • quantity
  • price

Reviews:

  • id (PK)
  • user_id (FK)
  • product_id (FK)
  • rating
  • content
  • sentiment_score
  • created_at

File Structure

/ ├── src/ │ ├── components/ │ │ ├── Layout/ │ │ ├── Product/ │ │ ├── Cart/ │ │ ├── Checkout/ │ │ └── Review/ │ ├── pages/ │ │ ├── index.js │ │ ├── products/ │ │ ├── cart.js │ │ ├── checkout.js │ │ └── account/ │ ├── api/ │ │ ├── auth/ │ │ ├── products/ │ │ ├── orders/ │ │ ├── reviews/ │ │ └── analytics/ │ ├── utils/ │ │ ├── db.js │ │ ├── auth.js │ │ └── analytics.js │ └── styles/ │ └── globals.css ├── public/ │ └── assets/ ├── server/ │ ├── models/ │ ├── controllers/ │ ├── routes/ │ └── middleware/ ├── tests/ ├── .gitignore ├── package.json ├── README.md └── docker-compose.yml

Implementation Plan

  1. Project Setup (1-2 days)

    • Initialize Next.js project
    • Set up version control with Git
    • Configure ESLint and Prettier

  2. Backend Development (2-3 weeks)

    • Set up Node.js and Express.js server
    • Implement database models and migrations
    • Develop API endpoints for core functionality
    • Integrate Stripe API for payments

  3. Frontend Development (3-4 weeks)

    • Create reusable React components
    • Implement pages for product listing, cart, and checkout
    • Develop user authentication flows
    • Build review submission interface

  4. Customer Feedback Analysis (2-3 weeks)

    • Implement sentiment analysis for reviews
    • Create analytics dashboard for businesses
    • Develop trend identification algorithms

  5. Testing and Quality Assurance (1-2 weeks)

    • Write unit tests for critical components
    • Perform integration testing
    • Conduct user acceptance testing

  6. Deployment and DevOps (1 week)

    • Set up Docker containers
    • Configure CI/CD pipeline with GitHub Actions
    • Deploy to AWS EC2

  7. Final Testing and Launch Preparation (1 week)

    • Perform final round of testing
    • Prepare documentation and user guides
    • Plan for launch and marketing activities

Deployment Strategy

  1. Use Docker to containerize the application for consistent environments
  2. Deploy backend services to AWS EC2 instances
  3. Use AWS RDS for managed PostgreSQL database
  4. Implement AWS S3 for static asset and image storage
  5. Set up load balancing with AWS ELB for scalability
  6. Use AWS CloudFront as a CDN for improved performance
  7. Implement monitoring with AWS CloudWatch
  8. Set up automated backups for the database
  9. Use GitHub Actions for continuous integration and deployment
  10. Implement a blue-green deployment strategy for zero-downtime updates

Design Rationale

  • Next.js was chosen for its server-side rendering capabilities, which improve SEO and initial load times for the ecommerce platform.
  • PostgreSQL provides a robust relational database system, essential for managing complex relationships between products, orders, and user data.
  • The sentiment analysis feature uses NLP to automatically categorize customer feedback, saving time for businesses and providing quick insights.
  • Docker containerization ensures consistency across development and production environments, simplifying deployment and scaling.
  • The modular file structure separates concerns and promotes maintainability as the project grows.
  • AWS services were selected for their reliability, scalability, and extensive feature set, allowing for future growth of the platform.