https://github.com/tharoosha/reflex
Where Machine Customers Revolutionize Shopping
https://github.com/tharoosha/reflex
Last synced: 2 months ago
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Where Machine Customers Revolutionize Shopping
- Host: GitHub
- URL: https://github.com/tharoosha/reflex
- Owner: tharoosha
- License: mit
- Created: 2024-12-17T06:58:50.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-01-26T19:15:45.000Z (5 months ago)
- Last Synced: 2025-03-24T17:14:45.960Z (3 months ago)
- Language: Python
- Size: 11.7 MB
- Stars: 1
- Watchers: 1
- Forks: 2
- Open Issues: 1
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Reflex - Next-Generation E-Commerce Machine Customer Platform
## Overview
Reflex is an innovative platform designed to revolutionize the e-commerce experience by leveraging the concept of **Machine Customers**. These are autonomous AI agents capable of shopping on behalf of users, making data-driven purchasing decisions, and optimizing the entire shopping process. Reflex integrates advanced technologies, including Generative AI, IoT, and machine learning, to create a seamless, personalized, and efficient shopping experience.
## Key Features
- **Autonomous Shopping**: AI agents evaluate products, compare deals, and make purchasing decisions based on user-defined preferences.
- **User and Device Onboarding**: Easy setup for new and existing users, including IoT device integration.
- **Dynamic Thresholds**: Configure automatic replenishment thresholds (e.g., order more coffee pods when supply drops below 10).
- **Market Research**: AI agents conduct market research to recommend the best products and deals.
- **Compliance and Vendor Integration**: Ensures compliance with user preferences and integrates with multiple vendors for seamless transactions.
- **Order Management**: Tracks orders, manages deliveries, and handles returns or exchanges.
- **Demand Prediction**: Utilizes data analysis and correlation modules to predict product demand accurately.
- **IoT Integration**: Leverages IoT devices to monitor usage and trigger automatic replenishment.## Solution Architecture
### Data Flow Diagram
### Use Case Diagram
## How It Works
1. **User Onboarding**: Users set up their preferences and configure thresholds for automatic replenishment.
2. **Device Integration**: IoT devices are onboarded to monitor usage and send data to the platform.
3. **Market Research**: AI agents conduct market research to find the best products and deals.
4. **Product Comparison**: Agents compare products based on user-defined criteria.
5. **Automatic Ordering**: When thresholds are met, agents automatically place orders.
6. **Order Management**: The platform tracks orders, manages deliveries, and handles returns or exchanges.
7. **Demand Prediction**: Advanced data analysis predicts future demand, ensuring timely replenishment.## Getting Started
### Prerequisites
- Python 3.8+
- Docker
- Kubernetes (optional for deployment)
- IoT devices (optional for integration)### Installation
1. Clone the repository:
```bash
git clone https://github.com/tharoosha/Reflex.git
cd Reflex
```2. Set up the environment:
```bash
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
```3. Run the platform:
```bash
python main.py
```### Configuration
- **User Preferences**: Configure user preferences and thresholds in `config/user_preferences.json`.
- **Vendor Integration**: Add vendor details in `config/vendors.json`.
- **IoT Devices**: Set up IoT device integration in `config/iot_devices.json`.## Contributing
We welcome contributions from the community! Please read our [CONTRIBUTING.md](CONTRIBUTING.md) for details on how to submit pull requests, report issues, and suggest enhancements.
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## Acknowledgments
- Reference Material: [Machine Customers Will Decide Who Gets Their Trillion-Dollar Business—Is It You?](https://www.gartner.com/en/articles/machine-customers-will-decide-who-gets-their-trillion-dollar-business-is-it-you)
## Contact
For any inquiries, please contact us at [[email protected]](mailto:[email protected]).
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Reflex is designed to bring the future of e-commerce to the present, making shopping smarter, faster, and more efficient. Join us in revolutionizing the way we shop!