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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 software features in forecasting models than actually producing results? Don't you wish you could become more agile in producing periodic baseline forecasts you need demand planning 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 developing and testing rolling forecasting models with your enterprise 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 dominant ERP software vendors, may have fallen behind in providing improved enterprise demand forecasting solutions on their platforms. 

In the Certified Professional Demand Forecaster (CPDF) professional development training workshops, 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 the proven techniques from decomposition and simple smoothing to Holt trending, Holt-Winters trend/seasonal and damped trend exponential smoothing models as well as the univariate Box Jenkins ARIMA time series models. The algorithms for creating trend/seasonal forecasts and model interpretations are well documented in the literature (cf. Hyndman, Koehler, Ord and Snyder (2008). Forecasting with Exponential Smoothing - The State Space Approach) as well as in the new book by Hans Levenbach, entitled Change & Chance Embraced: Achieving Agility with Demand Forecasting in the Supply Chain.


 

A FREE copy of this forecasting book is offered when you enroll in the CPDF Training and Certification curriculum for demand forecasters, operational planners and supply chain practitioners. The CPDF instructor-led, hands-on workshops utilize Excel Add-ins along with PEERForecaster as a training tool to re-enforce the modeling capabilities of seasonal decomposition, exponential smoothing, rolling forecasts, forecast accuracy measurement, and ARIMA models in the State Space modeling environment. You will learn how to use techniques that have proven to be superior to the traditional moving average forecasts, Holt and Holt-Winters methods. We will even show you how to avoid the myth of the Mean APE, the accuracy measure commonly referred to as the MAPE among demand planners and supply chain practitioners.

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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