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Smart Supply Chains

Our web app is aimed to assist supply chain managers in their daily work. This includes not only identifying potential risks of delays during goods delivering but also finding the workarounds for such issues to guarantee shelves being full of products loved by the Migros customers. Wide variety of data sources including news, social media and weather services are fused to get the final conclusion about the time security of the route. You can see most severe ones drawn on the world map along with the routes typically used for delivering goods for Swiss citizens.

Please, feel free to play with our demo and try to solve some supply chain problems happening right now in the world!

You can check our website here.

Prerequisites

Deploy

Run following code on Cloud Shell, or anywhere Google Cloud SDK installed.

$ gcloud run deploy mydashboard --source . --timeout=3600

Ingesting dummy mobility data

Run following python script on Cloud Shell, or anywhere Google Cloud SDK installed.

$ python3 ingest.py

Debug on local

If you are using Cloud Shell Editor or VS Code, click "Cloud Code" then select "Run on Cloud Run Emulator".

You can also run the script directly.

$ streamlit run app.py --server.enableCORS=false

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