About this document
Final 3993 by Ly Lê is a document available to read on EtoBox.
This research article presents a machine learning framework for retail sales forecasting developed for SuperKart, a multi-city retail chain. The framework integrates data preprocessing, exploratory data analysis, feature engineering, and model evaluation, with XGBoost identified as the most effective algorithm achieving an R² score of 0.87. Additionally, a low-code deployment strategy was implemented to enable business users to generate real-time forecasts with minimal technical intervention.
- Author
- Ly Lê
- Language
- EN