# SuperKart Retail Sales Forecasting




Machine learning project to forecast product sales across multiple retail outlets.

## Problem Statement

Predict total product sales using historical store and product data.

## Business Value

- Improve inventory planning

- Reduce stockouts

- Optimize supply chain

- Improve pricing strategy

## Models Tested

- Decision Tree

- Random Forest

- XGBoost

## Final Model

Random Forest Regressor

## Performance

R² Score: 0.9239

RMSE: 0.1016

MAE: 0.0389

## Project Structure

superkart-sales-forecasting/

├── data/

├── notebooks/

├── src/

├── api/

├── deployment_files/

├── requirements.txt

└── README.md

## Run Project

pip install -r requirements.txt

python src/train.py

python api/app.py