Onestop Vyapar <Typescript/NextJS>

1. 🚀 Project Overview

Onestop Vyapar is an AI-powered integration hub tailored for small and medium-sized businesses (SMBs). It seamlessly combines Amazon’s Multi-Channel Fulfillment (MCF) services with a custom marketplace for manufacturers. This platform provides:

• Unified inventory and order management.
• AI-powered inventory suggestions.
• Dynamic pricing and oversell prevention.
• Geolocation heatmaps for return rate analysis.
• International fulfillment and PAN India logistics.
• Real-time analytics for business optimization.

2. 🔧 Technical Stack

Frontend

• Framework: Next.js
• Styling: Tailwind CSS, Material-UI

Backend

• Core: Node.js (Express/NestJS)
• APIs: AWS Lambda, AWS API Gateway

DevOps and Infrastructure

• Containerization: Docker
• Orchestration: AWS ECS, AWS ELB
• Storage: AWS DynamoDB, AWS RDS, AWS S3
• Security: AWS IAM, AWS KMS, AWS Cognito

AI/ML Tools

• PyCaret
• AWS Personalize

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3. 🎨 Features

1. Unified Inventory and Order Management:
   • Real-time visibility across multiple platforms.
2. AI-Powered Inventory Suggestions:
   • Predictive analytics for stock management.
3. Dynamic Pricing:
   • AI-driven pricing adjustments using PyCaret.
4. Oversell Prevention:
   • Real-time alerts powered by AWS Lambda and SNS.
5. Geolocation Heatmaps:
   • Insights into regions with high return rates.
6. International Fulfillment:
   • Simplified global expansion with Amazon APIs.
7. Built-in Marketplace:
   • Connects manufacturers, wholesalers, and dropshippers with sellers.
8. DevOps with AWS:
   • Leverages AWS ECR, ECS, and S3 for streamlined deployment and scaling.
9. SSL Certificate:
   • Secures data transmission with encryption.
10. User-Friendly Interface:
    • AI chatbot for inventory and delivery management.
11. Amazon MCF Integration:
    • Utilizes Amazon’s PAN India logistics network.
12. Real-Time Analytics:
    • AI-driven insights for inventory and pricing optimization.

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4. 🎨 Methodology

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5. ✅ Getting Started

Using Daytona

1. Install Daytona: Follow the Daytona Installation Guide.

2. Create the Workspace:

   daytona create https://github.com/Mayank77maruti/amazon_asambhav.git

6. ✨ Deployment

Vercel Deployment

The easiest way to deploy your Next.js app is via Vercel. Learn more in the deployment documentation.

Prototype Demonstration

• Demo Link
• Deployment Link
• Github Link

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7. 🌐 Open Source Disclosure

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

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8. 🔗 Additional Resources

• Learn Next.js
• Next.js GitHub Repository
• Daytona Integration Guide