This project is an e-commerce analytics dashboard aimed at helping online retailers analyze customer behavior, track sales performance, and optimize marketing strategies. It integrates with e-commerce platforms to collect transaction data and generate actionable insights for business growth.
- Sales Performance Metrics: Display key performance indicators such as total revenue, average order value, conversion rates, and customer lifetime value, with trend analysis and benchmarking.
- Customer Segmentation: Segment customers based on demographics, purchase history, and product recommendations.
- Product Performance Analysis: Analyze sales trends and product profitability to identify top-selling items and slow-moving inventory.
- Cart Abandonment Recovery: Implement strategies to reduce cart abandonment rates by sending reminders, discount offers, or exit-intent pop-ups.
- Customer Retention Strategies: Develop loyalty programs, referral incentives, and rewards to encourage repeat purchases and foster customer loyalty.
- Customer Feedback Analysis: Monitor customer reviews, ratings, and feedback to identify product improvements and enhance overall customer satisfaction.
- Data Visualization Tools: Utilize interactive charts, heatmaps, and geospatial visualizations to present complex data in a user-friendly format.
- Documentation: Include a README with setup instructions and dependencies. Code comments and function/module descriptions are also provided.
- Deployment: The application can be deployed on a cloud platform (Vercel, Netlify, Heroku, etc.) or shared via a zip file.
{
"name": "backend",
"version": "1.0.0",
"description": "Backend for E-commerce Analytics Dashboard",
"main": "index.js",
"scripts": {
"start": "nodemon ./server.js",
"test": "echo \"Error: no test specified\" && exit 1"
},
"dependencies": {
"bcryptjs": "^2.4.3",
"body-parser": "^1.20.2",
"cors": "^2.8.5",
"dotenv": "^16.4.5",
"express": "^4.19.2",
"jsonwebtoken": "^9.0.2",
"mongodb": "^6.5.0",
"mongoose": "^8.3.1",
"nodemon": "^3.1.0"
}
}