Univariate forecasting provides methods that allow you to forecast the following time series patterns:

• Constant¾demand varies very little from a stable mean value
• Trend¾demand falls or rises constantly over a long period of time with only occasional deviations
• Seasonal demand¾periodically recurring peaks and troughs differ significantly from a stable mean value
• Seasonal trend¾ periodically recurring peaks and troughs, but with a continual increase or decrease in the mean value
• Intermittent demand¾demand is sporadic
• No change from previous year¾no forecast is carried out; instead, the system copies the actual data from the previous year

You set up a univariate model, sometimes known as a time series model, in a univariate forecast profile.