Metadata-Version: 2.4
Name: syeedalireza-supplysense
Version: 1.0.1
Summary: Supply Chain ETA & Demand Forecasting
Author-email: Alireza Aminzadeh <syeedalireza@yahoo.com>
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Requires-Dist: fastapi==0.110.0
Requires-Dist: uvicorn[standard]==0.27.1
Requires-Dist: pydantic==2.6.3
Requires-Dist: pydantic-settings==2.2.1
Requires-Dist: scikit-learn==1.4.1.post1
Requires-Dist: pandas==2.2.1
Requires-Dist: numpy==1.26.4
Requires-Dist: pytest==8.1.1
Requires-Dist: pytest-asyncio==0.23.5
Requires-Dist: httpx==0.27.0

# SupplySense: Supply Chain ETA & Demand Forecasting

**SupplySense** predicts exact delivery times (ETA) and forecasts product demand using machine learning, weather data, and warehouse load.

Developed by **Alireza Aminzadeh** ([@syeedalireza](https://github.com/syeedalireza)).

## Architecture
- **Machine Learning:** PyTorch / XGBoost
- **API:** FastAPI
- **Tracking:** MLflow
- **Pattern:** ML Pipeline Architecture, Microservices

*(Technical implementation pending in next iteration)*
