Theme Name:
Theme No. 3: Develop a user-friendly tool or plug-in that seamlessly integrates online stores with Amazon's Multi-Channel Fulfillment (MCF) service. This would allow businesses to leverage Amazon's logistics network with minimal coding effort.
- User-friendly interface: AI chatbot for managing e-commerce tasks like inventory and delivery handling.
- Amazon's MCF integration: PAN India logistics network for effortless scaling.
- Unified order management: Single dashboard to handle orders from multiple platforms.
- SLAs and Delivery Speed Estimation: Improves customer experience.
- Real-time analytics and AI-based suggestions: Inventory and pricing optimization.
- Marketplace integration: Connects small manufacturers with sellers.
- Order verification system: Reduces cancellations.
"Our platform, One Stop Vyapaar, is an AI-powered integration hub for small and medium-sized businesses (SMBs). It combines Amazon’s MCF with a tailored marketplace for manufacturers, enabling seamless inventory and quality management."
- Unified inventory and order management: Real-time view across multiple platforms.
- AI-powered inventory suggestions: Predictive analytics for optimal stock management.
- Dynamic pricing: AI-based pricing adjustments using PyCaret.
- Oversell prevention: Real-time alerts powered by AWS Lambda and SNS.
- Geolocation heatmaps: Identify and manage regions with high return rates.
- International fulfillment: Expand globally with Amazon’s API.
- Built-in marketplace: Connect manufacturers, wholesalers, and dropshippers with sellers.
- Frontend: Next.js, Tailwind CSS, Material-UI.
- Backend: Node.js (Express/NestJS), AWS Lambda, AWS API Gateway.
- Core Technologies: Docker, AWS ECS, AWS ELB.
- Storage: AWS DynamoDB, AWS RDS, AWS S3.
- Security: AWS IAM, AWS KMS, AWS Cognito.
- AI/ML Tools: PyCaret, AWS Personalize.
| Technology | Version | License | Source Link |
|---|---|---|---|
| Tailwind CSS | v3.4.1 | MIT License | GitHub |
| Next.js | v13.5.6 | MIT License | GitHub |
| React | v18.2.0 | MIT License | GitHub |
| Axios | v1.7.7 | MIT License | GitHub |
| Prisma | v5.22.0 | Apache License 2.0 | GitHub |
| CopilotKit | v1.3.15 | MIT License | GitHub |
This is a Next.js project bootstrapped with create-next-app.
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun devOpen http://localhost:3000 with your browser to see the result
Docker Installation Process
- To build the image
docker build -t amazon-asambhav-app .
- To run the image
docker run -p 3000:3000 amazon-asambhav-app- To stop the image First -> open another terminal and run docker ps take the container id from their
docker psthen
docker stop <container_id>
You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.
This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.
To learn more about Next.js, take a look at the following resources:
- Next.js Documentation - learn about Next.js features and API.
- Learn Next.js - an interactive Next.js tutorial.
You can check out the Next.js GitHub repository - your feedback and contributions are welcome!
The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.
Check out our Next.js deployment documentation for more details.