Machine Learning #3
Description
Incorporating ML to inventory management is vital to business operation, as there are many factors leading to change in demand - Seasons, locations, customer bias, etc. Without ML the user has to manually apply these conditions to his/her order procedure.
- Implement machine learning component with PyTorch
- Crawl data from liquor boards across Canada
- Refactor DB so that liquor items are referenced from a pool of data gathered from crawling above rather than creating new item object on all relevant data structures
- Create an algorithm to adjust order with result from ML data