Not only does this model generate statistical forecasts based on historical data but it also analyzes which algorithm would have best fit that data. This approach provides you with a suggestion of which method may be the most accurate to use for future periods.
Statistical Forecasting Algorithms
- 17 different statistical algorithms including simple exponential smoothing, multiplicative decomposition, and winter’s additive.
- Interactive forecasting dashboard that allows for customizing forecast algorithms and assumptions.
- Multiple Seasonality selection options that include find each product’s unique seasonality, a brand level composite seasonality, and custom user defined options.
- Outlier identification and exclusion based on user defined parameters such as standard deviation or the Inter-Quartile Range (IQR).
- Forecast accuracy measurement with techniques such as Mean Absolute Percent Error (MAPE).
February 27th, 2016
- 16 additional statistical algorithms
- Dynamic time scale
- End of life modeling
App Last Updated
May 20th, 2016
Can connect with any app that needs a times series forecast