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
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.
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.
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.
The calculated forecast can be reviewed and edited here.
Read more about forecast editing features on the Forecast Results page.
You can review the aggregated forecast for each level here.
Read more about forecast editing features on the Summary Totals page.
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.