https://github.com/bhuvantenguria/scaler_hackathon

E-Commerce Site
https://github.com/bhuvantenguria/scaler_hackathon

mern-stack

Last synced: 1 day ago
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E-Commerce Site

• Host: GitHub
• URL: https://github.com/bhuvantenguria/scaler_hackathon
• Owner: Bhuvantenguria
• Created: 2024-04-14T08:44:53.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2025-01-20T07:47:58.000Z (11 days ago)
• Last Synced: 2025-01-20T08:30:34.904Z (11 days ago)
• Topics: mern-stack
• Language: JavaScript
• Homepage: https://purchase-now.vercel.app/
• Size: 5.29 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# E-commerce Analytics Dashboard

This project aims to develop an e-commerce analytics dashboard to assist online retailers in analyzing customer behavior, tracking sales performance, and optimizing marketing strategies. The dashboard is seamlessly integrated into the e-commerce site to provide real-time insights for business growth.

## Features List 

### 1. Sales Performance Metrics

- Display key performance indicators such as total revenue, average order value, conversion rates, and customer lifetime value.

- Provide trend analysis and benchmarking against historical data or industry standards.

### 2. Customer Segmentation 

- Segment customers based on demographics, purchase history, and product recommendations.

- Present monthly expenditure graph to visualize spending patterns.

### 3. Product Performance Analysis

- Analyze sales trends and product profitability.

- Identify top-selling items and slow-moving inventory.

### 4. Cart Abandonment Recovery

- Implement strategies to reduce cart abandonment rates.

- Send reminders, discount offers, or exit-intent pop-ups to incentivize completing purchases.

### 5. Customer Retention Strategies

- Develop loyalty programs, referral incentives, and rewards to encourage repeat purchases.

- Example: Offer discounts after a certain number of purchases.

### 6. Customer Feedback Analysis

- Monitor customer reviews, ratings, and feedback.

- Identify product improvements, resolve issues, and enhance overall customer satisfaction.

## Usage

1. **Accessing the Dashboard**: The dashboard is seamlessly integrated into the e-commerce site's admin panel or backend system.

2. **Navigating the Dashboard**: Login to the e-commerce site's admin panel and navigate to the analytics section to access the dashboard.

3. **Analytics**: Explore various analytics modules to gain insights into sales performance, customer behavior, and feedback.

4. **Actionable Insights**: Utilize the insights generated by the dashboard to optimize marketing strategies and improve business outcomes.

## Technologies Used

- Frontend: React.js, HTML, CSS

- Backend: Node.js, Express.js

- Database: MongoDB

- Data Visualization: React libraries (e.g., Chart.js, D3.js)

- NodeMailer for sending mails to reducing cart abandonment.

- E-commerce Platform Integration: Custom integration for seamless access within the e-commerce site's admin panel.

## Installation and Setup

Since the dashboard is integrated into the e-commerce site, there's no separate installation required. Simply login to the e-commerce site's admin panel to access the dashboard.

## Contributing

Contributions are welcome! If you have any suggestions or would like to contribute to the project, please open an issue or submit a pull request.

## License

This project is licensed under the [MIT License](LICENSE).