Getting Started
Demand Forecasting forecasts future demand based on historical sales data.
To fit the best forecast, we select from several mathematical and statistical models:
Naive forecast
Moving average
Exponential smoothing
Holt
Holt-Winters
Croston
There is a built-in machine learning algorithm to select the best method for your data.
Launching the App
To launch Demand Forecasting:
Log into AIMMS PRO. The SC Navigator Applications menu appears.
Click Launch App on the Demand Forecasting tile.

Loading data
Before you can get to work, you'll need to load a saved Configuration and corresponding Dataset(s).
These have been created in Data Navigator.
After loading the data, you are lead to the Home page where you are able to see details about your dataset, and the properties of the forecast made in a previous period.
Data Cleaning
The app cleans your data automatically when you load your dataset(s).
Go to Data Cleaning to check the results, make manual changes, or accept the proposed data. When you accept all the proposed data changes, the app calculates the forecast and takes you to the Forecast Results page.
If the raw data is good enough, you can navigate directly to the Forecast Results page.
Forecast Review
The calculated forecast can be reviewed and edited here.
Read more about forecast editing features on the Forecast Results page.
Summary Totals
You can review the aggregated forecast for each level here.
Read more about forecast editing features on the Summary Totals page.
Forecast Methods
You can manually select a forecast method and recalculate the forecast for each record.
Read more about selecting forecast methods on the Forecast Methods page.
Export the data
After you finish your forecast planning, you can navigate to the Export Results page and save your data.