A lightweight dashboard for Amazon sellers to evaluate listing quality, keyword coverage, bullet point depth, and content optimization opportunities.
View the live demo This project was built as an open-source portfolio project based on real Amazon operations workflows.
- Real-time listing quality scoring
- Product title SEO analysis
- Keyword coverage detection
- Missing keyword identification
- Bullet point structure evaluation
- Keyword frequency visualization
- Practical listing optimization suggestions
- Responsive SaaS-style dashboard UI
- React
- TypeScript
- Vite
- Tailwind CSS
- Recharts
- Lucide React
Screenshot will be added after deployment.
As an Amazon operations practitioner, I often need to evaluate whether a product listing covers important keywords, whether the title structure is strong, and whether the bullet points are detailed enough for conversion.
This project turns that workflow into a lightweight dashboard that can help sellers quickly audit listing content and identify optimization opportunities.
The dashboard uses a rule-based analysis engine to evaluate:
- Title length
- Keyword coverage
- Bullet point count
- Bullet point depth
- Repeated word usage
- Missing keyword opportunities
The scoring logic is deterministic and does not require any backend, database, or API key.
Clone the repository:
git clone https://github.com/Meiya0207/amazon-listing-optimizer-dashboard.git
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## Live Demo
[View the live demo](https://amazon-listing-optimizer-dashbo-git-2c139a-meiya0207-s-projects.vercel.app/)
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>>>>>>> 9e2f5d9 (Add live demo link to README)