This algorithm aim to analyze groceries purchase, price and his variations.
The project is divided in 5 parts:
- Aquire data
- PDF ( nota potiguar, Manual - Could web scrapping be a better option?)
- Load data in
- Load PDF
- Read table
- Read store information
- Read data/time information
- Store data
- Store data in MySql
- Install docker
- Create container
- Install MySqlWorkbench
- Create table
- Ipybn
- Connect to main.ipynb
- Process data
- Group stores
- Group products by category ( categoryze by processment type )
- Show results
- Show price variation ( Variation, man, seasonality )
- Show costly categories
- Rank products
- Posterior ideas
- Suggest substitutes based on price seasonality
- ML for actegorization?