A historical dataset is a numerical time series. It represents the history of the items for which you generate forecasts (example: weekly volume per SKU, sold in the past three years).

To create the historical data module:

1. Create a new item ID list with all of the items to forecast. When you add new items to this list, make sure that:

You don't use the dollar sign ($) or the pound sterling (£) symbols in the item name. Other special characters are supported.
The item names must have a mix of numerical and other characters (example: 129 doesn't work, but 129_a is fine).
The character limit is 250 for a single item.

See PlanIQ: Design and build your item list for forecasting.

2. Create a new module (or module view) with three components, as shown below.

(1) Time dimension as a row (The dimension should represent monthly, weekly or daily data.)
(2) Item ID list as a row
(3) New line item as a column

3. In Blueprint mode, you must format the line item as a number.

4. Import your historical data into the module and verify that the fields map correctly.

Next, you have the option to create more data modules (Related or Attribute data). The data from these modules can help improve your PlanIQ forecast results. Or you can skip ahead to Create a forecast results module.

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