Today, we’re excited to announce that Amazon Forecast offers the ability to generate forecasts on a selected subset of items. This helps you to leverage the full value of your data, and apply it selectively on your choice of items reducing the time and effort to get forecasted results.
Generating a forecast on ‘all’ items of the dataset restricted you from the freedom to have fine-grained controls over specific items that you wanted to forecast. This meant increased cost for low/no priority forecasted items and additional overhead. Earlier, you would spend a lot of time generating multiple predictions on all of the items in your data. This was time consuming and operationally heavy to manage. Moreover, this approach doesn’t fully leverage the value of machine learning (ML): applying inferences across desired items. With the capability to choose a subset of items, you can now focus on training the model with all of

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