Abstract: Generally described, one or more aspects of the present application correspond to machine learning techniques for generating predictions about how much of an item will sell to certain destination regions at certain shipping speeds. A machine learning model, such as a neural network, can be trained to make such predictions based on historical data. The predictions can be presented in a user interface that enables sellers to evaluate the predicted sales and opt in to supporting particular shipping speeds to particular destinations, for example enabling the sellers to create offers for the items with terms corresponding to desired shipping speeds and destinations.