Supply Chain ETA & Demand Forecasting
Project description
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).
Architecture
- Machine Learning: PyTorch / XGBoost
- API: FastAPI
- Tracking: MLflow
- Pattern: ML Pipeline Architecture, Microservices
(Technical implementation pending in next iteration)
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