Statistical Product Forecasting

Anaplan's Statistical Forecasting App allows you to load historical data and generate a forecast using various statistical algorithms. The app includes 17 of these algorithms across 4 different overarching forecasting methods: Basic and Intermittent Demand, Curve Fit, Smoothing, and Seasonal Smoothing. 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.
Seasonality Options
  • Multiple Seasonality selection options that include find each product’s unique seasonality, a brand level composite seasonality, and custom user defined options.
Outlier Identification
  • Outlier identification and exclusion based on user defined parameters such as standard deviation or the Inter-Quartile Range (IQR).
Forecast Accuracy
  • Forecast accuracy measurement with techniques such as Mean Absolute Percent Error (MAPE).

What's new

February 27th, 2016
  • 16 additional statistical algorithms
  • Dynamic time scale
  • End of life modeling


Business Function
SalesSales Forecasting
All IndustriesHealthcareHospitality
App Last Updated
May 20th, 2016
190 MB
Connects to
Can connect with any app that needs a times series forecast
Version history
Last update:
‎09-16-2020 08:49 AM
Updated by:
About the Author
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    Digital native with deep experience in persuasive technology and customer journey analytics uses service design to solve complex problems

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