Creation of a marketing strategy aimed at boosting sales of the "Gillette Venus" razor in physical stores during the peak summer months. The strategy is based on the results obtained from machine learning techniques to predict future sales and clustering techniques to find the "ideal store" on which to focus marketing efforts.
The notebook notebook.ipynb contains all the data analysis that we carried out.
It exploits some classes and functions we developed in the modules folder, in the files named as dataset.py and regressor.py. The utils.py file contains some utility functions.
The enriched dataset is called definitivo.csv and it is stored in the data folder.
pg_businesscase.pdf is the presentation of the work done and the results achieved during the analysis.
Authors:
- Guerranti Filippo
- Marchetti Andrea
- Miconi Federico
- Pucci Francesco
- Sole Francesco