The problem
Sales planning becomes difficult when order data arrives from several channels and forecasting depends on manual, one-off analysis.
Machine Learning
Sales Forecasting Platform
An end-to-end forecasting workflow for ingesting sales data, comparing models, tracking versions, and producing daily predictions.
System view
Product overview
A practical machine-learning pipeline created around restaurant sales data from multiple ordering channels. It brings ingestion, validation, training, model comparison, storage, and prediction into one repeatable workflow.
The solution
The platform standardizes incoming data and runs a repeatable forecasting pipeline with measurable model evaluation and version tracking.
Core functions
What the product is designed to do.
- Scheduled multi-source data ingestion
- Baseline and model performance comparison
- Versioned model registry and artifacts
- Repeatable daily prediction workflow
Technology
A practical, production-minded stack.
- Python
- XGBoost
- Airflow
- PostgreSQL
- AWS