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https://github.com/mayank77maruti/amazon_asambhav

One Stop Vyapaar is an AI-powered integration platform designed for small and medium-sized businesses (SMBs). It simplifies e-commerce operations by combining Amazon's Multi-Channel Fulfillment (MCF) service with an intelligent marketplace for manufacturers.
https://github.com/mayank77maruti/amazon_asambhav

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One Stop Vyapaar is an AI-powered integration platform designed for small and medium-sized businesses (SMBs). It simplifies e-commerce operations by combining Amazon's Multi-Channel Fulfillment (MCF) service with an intelligent marketplace for manufacturers.

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README

        

# Amazon Smbhav Hackathon 2024: Prototype Submission

---

## 1. Theme Details

**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.

### Theme Benefits:
- **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.

---

## 2. Idea and Approach Details

### Solution Overview:
"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."

---

### Key Features:
- **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.

---

### Technical Stack:
- **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.

---

## 3. Methodology/Architecture Diagram

![Image](https://github.com/user-attachments/assets/8d6faa7f-0711-468a-bd7e-096532201299)

---

## 5. Open Source Disclosure

| **Technology** | **Version** | **License** | **Source Link** |
|----------------------|------------------|----------------------|------------------------------------------------------------------|
| Tailwind CSS | v3.4.1 | MIT License | [GitHub](https://github.com/tailwindlabs/tailwindcss) |
| Next.js | v13.5.6 | MIT License | [GitHub](https://github.com/vercel/next.js) |
| React | v18.2.0 | MIT License | [GitHub](https://github.com/facebook/react) |
| Axios | v1.7.7 | MIT License | [GitHub](https://github.com/axios/axios) |
| Prisma | v5.22.0 | Apache License 2.0 | [GitHub](https://github.com/prisma/prisma) |
| CopilotKit | v1.3.15 | MIT License | [GitHub](https://github.com/copilotkit/copilotkit) |

---

## 4. Prototype Demonstration

- **[Demo Link](https://drive.google.com/drive/folders/1zgua0Z-7xckWaaR21-l1juH-s15EPIFs?usp=sharing)**
- **[Deployment Link](https://amazon-asambhav.vercel.app/)**

---

This is a [Next.js](https://nextjs.org) project bootstrapped with [`create-next-app`](https://nextjs.org/docs/app/api-reference/cli/create-next-app).

## Getting Started

First, run the development server:

```bash
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev
```

Open [http://localhost:3000](http://localhost:3000) with your browser to see the result

Docker Installation Process
1. To build the image
```bash
docker build -t amazon-asambhav-app .
```
![installwrite](https://github.com/user-attachments/assets/3b199ee9-4643-4303-8033-b27dc2f5cb91)

2. To run the image
```bash
docker run -p 3000:3000 amazon-asambhav-app
```
3. To stop the image
First -> open another terminal and run docker ps take the container id from their
```bash
docker ps
```
then
```bash
docker stop
```
![dockerinstallimg](https://github.com/user-attachments/assets/0faf2d70-bd17-40a2-999d-dc5d23615f6a)

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`](https://nextjs.org/docs/app/building-your-application/optimizing/fonts) to automatically optimize and load [Geist](https://vercel.com/font), a new font family for Vercel.

## Learn More

To learn more about Next.js, take a look at the following resources:

- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API.
- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial.

You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js) - your feedback and contributions are welcome!

## Deploy on Vercel

The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js.

Check out our [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details.