Automatic and optimal shift scheduling using Reinforcement Learning
In this project the client had a need to be convinced of the benefits of formal optimized sequential decision making. The client’s need relates to human resource scheduling. The current project makes a first attempt to solve this need. This POC involves a retail grocery provider whose HR manager is reponsible for providing a schedule to fill daily needs for roles:
- Courtesy Clerk (7 resources)
- Stocker (3 resources)
- Cleaner (2 resources)
- Curbsider (4 resources)
