🌐 中文 | English

Parch'd 🐟📜

AI-Native Fast-Casual Restaurant Chain — French "en papillote" meets Subway-style customization, powered by a three-layer AI operating system.

What Is This?

Parch'd reimagines fast food from scratch. Customers build their meal (protein + vegetables + sauce), it's sealed in parchment paper and baked in 3-5 minutes. Every ingredient is visible. Every decision — from oven temperature to menu pricing to supply chain — is AI-driven.

This repository contains:

• PLAN.md — Full business plan and concept design
• AI Engine — Restaurant simulator, demand forecasting, dynamic pricing, customer personalization
• Brand Showcase — Interactive Streamlit demo app

The Three-Layer AI

Layer	What It Does
🍳 Kitchen AI	CV quality control, predictive prep, AI oven controller, smart sealing
🤖 Front AI	AI nutritionist, flavor learning, natural language ordering, dynamic menus
📊 Ops AI	Supply chain brain, dynamic pricing, location intelligence, staff scheduling

Quick Start

# Clone
git clone https://github.com/SpencerRaw/parchd.git
cd papillote-express

# Install
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

# Run the simulator
python3 -m papillote.simulator

# Launch the brand showcase
streamlit run app/streamlit_app.py

Project Structure

papillote-express/
├── PLAN.md                   # Business plan & concept design
├── README.md / README.zh-CN.md
├── requirements.txt
├── app/
│   └── streamlit_app.py      # Brand showcase + interactive demo
├── src/papillote/
│   ├── models.py             # Data models
│   ├── engine.py             # AI engines
│   └── simulator.py          # Restaurant day simulator
└── data/                     # Sample data

Contributing

This is a concept-stage project. Ideas, critiques, and PRs welcome. Open an issue to discuss before submitting large changes.

License

MIT — see LICENSE

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Real food. Real fast. Real smart.