Stores Sales Prediction (Time Series Forecasting)

This is a time series forecasting problem. In this project, our goal is to predict store sales on data from Corporation Favorita, a large Ecuadorian-based grocery retailer.

Specifically, to build a model that more accurately predicts the unit sales for thousands of items sold at different Favorita stores.

The training data includes dates, store, and product information, whether that item was being promoted, as well as the sales numbers. Additional files include supplementary information that may be useful in building your models.

Tools and Programming Languages Used: SQL, Python, Power BI, VS Code (Jupyter Notebook)

Link to codes on GitHub: https://github.com/richmond-yeboah/Corporacion-Favorita-Stores-Sales-prediction/blob/main/Notebooks/main.ipynb

Link to Power BI dashboard: https://app.powerbi.com/view?r=eyJrIjoiYzI5Y2M5NjItNTVlOS00Y2E2LTkyMTAtZTY2ODQzNDA3YjBmIiwidCI6IjFjZTU4MjFjLTE5NDItNDczMy1hNmRjLTBmYzNhODJiNzRkYiJ9

Link to project article on medium: https://medium.com/@richmondyeboah299/corporation-favorita-time-series-forecast-77836eb6b476