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Reflex - Next-Generation E-Commerce Machine Customer Platform

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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

Solution Architecture

Data Flow Diagram

Data Flow Diagram

Use Case 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:

    git clone https://github.com/tharoosha/Reflex.git
    cd Reflex
  2. Set up the environment:

    python -m venv venv
    source venv/bin/activate
    pip install -r requirements.txt
  3. Run the platform:

    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 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 file for details.

Acknowledgments

Contact

For any inquiries, please contact us at [email protected].


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!

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