How a simple streamlit dashboard will help to put your machine...
summary
Prototype converts a Jupyter notebook into a Streamlit dashboard that shows model decisions, KPIs and penalties applied to warehouses, uses Plotly for charts and caching to keep refreshes fast, and runs in Docker on a GCP Kubernetes cluster behind cluster auth. The dashboard surfaces that steering raises cost by about 3–4 cents per order while freeing capacity — roughly 500 packages saved — and builds user trust so usage becomes routine.
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chapters (4)
- 0:00Start
- 17:12Cost per Order
- 17:59Convert this Notebook into a Nice Dashboard
- 27:13Deploying a Streamlit App
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