Multiple workload and staffing forecasting algorithms available, each of which has different logic for forecasting, and thus different strengths for different kinds of support activity and work streams. Some algorithms are better at identifying seasonal events, some at smoothing out the outliers in historical data, some are more accurate long term, and others short term.
The best forecasting algorithm for each workstream is automatically selected by analyzing your historical data and testing all algorithms to determine which will perform best for the specific workstream. However, you can overwrite the automatic algorithm selection and choose any algorithm Tymeshift offers.