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Looking to build a supply chain model.

This would include weather data, shipping data, supply and demand levels.

Ultimate goal is to predict price using such a model.

Any ideas on how to develop something like this, any sample code, any previous examples from GitHub?

Much appreciated.

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  • $\begingroup$ Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. $\endgroup$
    – Community Bot
    Jun 30 at 23:13

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Supply chain modeling requires a good simulator.

You can use existing software like anyLogistix but you might be limited if you want to use other features such as the weather or the stock markets.

That's why a good option is to use simulators like supplychainpy or simpy, together with machine learning algorithms such as Random Forest to connect multiple features together and make interesting simulations and predictions like demand forecasting or network optimization.

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