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Are you looking for a forecasting solution that is easy to use and saves you a lot of time, yet improves forecasting reliability and accuracy? Are you spending more time manipulating parameters in forecasting models than actually producing results? Dont you wish you could get the rolling forecasts you need more accurately... inexpensively... and faster and easier? Now you can with the PEERForecaster Add-in for Excel!

If you are spending a lot of time and money manipulating rolling forecasting models with your large-scale demand planning systems without getting reliable feedback and simple answers, then we may be in a position to help you get those analyses done more quickly and with greater reliability. 

Forecasting technology has improved so much in recent years that most demand forecasting software providers, including the most dominant ERP software vendors, may have fallen behind in providing improved rolling forecasting solutions in their systems. 

In the Certified Professional Demand Forecaster (CPDF) training workshop, Delphus is offering PEERForecaster, a FREE Excel Add-in with all the horsepower of a full-fledged forecast modeling tool without the overhead commonly associated with many forecasting systems. This is ideal for training and benchmarking your existing forecasting tool box. The models include all the well-known techniques from decomposition and simple smoothing, Holt trending, Holt-Winters trend/seasonal models, damped trend exponential smoothing models as well as the univariate Box Jenkins ARIMA time series models. The algorithms for creating rolling forecasts and interpretations are well documented in the literature as State Space forecasting models as well as the book entitled Forecasting: Practice and Process for Demand Management coauthored by Hans Levenbach and J.P. Cleary.

A copy of this forecasting book is also offered at a significant discount when you enroll in the CPDF certification curriculum for demand planners. The CPDF (Level I) Workshop is a hands-on workshop that utilizes Excel Add-ins along with PEERForecaster to re-enforce the modeling capabilities of seasonal decomposition, exponential smoothing, rolling forecasts, ARIMA models and the State Space modeling environment. You will learn how to use techniques that have been proven superior to the conventional Holt and Holt-Winters models.

The international M3 forecasting competition has established that the family of "damped trend" models generally outperform the more conventional models used for forecasting trends and seasonality in historical data. This information has been published in the peer-reviewed International Journal of Forecasting. Yet, these models are rarely, if ever, found in many of the mainstream ERP/SCM demand planning systems available in the market today!

 

See for yourself. View sample output. Click here It's as easy as 1, 2, 3!  

 

 

 

 FREE Download: A fully functional PEERForecaster Add-in for Excel 

 
"Damped trend" models are used in PEERForecaster!
 
Now, based on the state-space modeling framework developed by Hyndman* et. al, PEERForecaster offers these significant benefits in a simple-to-use Excel Add-in. 

*Ref: HYNDMAN, R.J., A.B. KOEHLER, R.D. SNYDER, and S. GROSE (2002) International Journal of Forecasting, 18 (3), 439-454
 
To learn more about the forecasting solutions from Delphus, click here.

 

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