Historical Seed Data

You cannot forecast data for new locations due to the lack of existing data. To resolve this issue, you can assign data from other stores to generate accurate forecasts. For example, if a restaurant chain opens a new location inside a shopping mall, they can assign the type of sales and revenue generated from a similar location. The organization can assign as many weeks necessary until the new location generates enough data to create location-specific forecasts.