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I am attempting to create a model that can predict how long it might take a product to arrive at a customer's address for an online retailer. In other words, the main objective is to predict the most accurate estimated time to arrival that is advertised on the website.

Are there any supply chain data scientists that can assist in this problem and or provide potential readings on this type of problem?

I developed a random forest quantile regression model that has been received well, however I am looking to experiment with a different approach potentially

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