A dashboard for monitoring inventory imbalances, written in Python. It uses the Dash framework for building visuals, OSmnx and NetworkX for the mathematical solution.
It generates random supply and demand data for an item, in random locations. The process under the dashboard solves the Multi-commodity flow problem and suggest a set of routes (with minimal total cost) that minimize supply or demand imbalances. The problem is solved for a single item/commodity but can easily generalized.
Use the Dockerfile to create and run the environment:
$CONTAINER_NAME = <your-container-name>
$ docker build -t $CONTAINER_NAME .
$ docker run -d $CONTAINER_NAME