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John Galt's Atlas Planning Suite is an enterprise scalable solution that allows customers to balance supply and demand.
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EVENTS

Training Calendar

May 15-16, 2008
Forecast Xpert Training: Chicago, IL.
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August 14-15, 2008
Forecast Xpert Training: Chicago, IL.
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John Galt believes that success of every plan lies in the accuracy of the baseline forecast. John Galt has compiled a list of busness and sales forecasting techniques that addresses many of the business issues facing our customers today. In 1998, we entered our algorithms in the M3 competition, an academic competition for statistical accuracy, and ranked #1 and #2 in most categories.

Our sales forecasting software and statistics have been integrated into Peoplesoft’s Supply Chain Solutions and GEAC’s Comshare budgeting software packages. Our symbol stands for quality and reliability. If you are interested in integrating foresting algorithms into your home grown application or commercial forecasting software, read more about the ForecastX SDK. The business and sales forecasting software includes more than 20 forecasting techniques and more than 40 statistical forecasting methods.

Forecasting Techniques

Expert Selection
Procast™

Multi-Level Grouping
Top Down Allocation
Bottom Up Allocation
Middle Out Allocation

New Products
New Product Forecasting
Product Life Cycle
Link seasonal patterns &
replacement products

Slow Moving & Replenishment
Croston’s Intermittent Method
Confidence Interval
Safety-Stock
Optional Stocking Level
Recomended Orders
Distribution Methods

Seasonal Models
Box Jenkins (ARIMA modeling)
Census II X-11 (Additive and Multiplicative)
Decomposition (Additive and Multiplicative)
Holt’s Winters Exponential Smoothing (Additive and Multiplicative)

Simple Methods (Time Series)
Adaptive Exponential Smoothing
Brown’s Double Exponential Smoothing
Brown’s Triple Exponential Smoothing
Exponential Smoothing
Holt’s Double Exponential Smoothing
Moving Average
Weighted Moving Average

Distributions

Erlang B
Erlang C
Poisson

Business Modeling
Cannibalization
Product Life Cycle
Promotional and Event Modeling



Causal Forecasting
Linear Regression
Polynomial Regression
Simple Regression
StepWise Regression with Dynamic Lagging

Accuracy Statistics
AIC
Adjusted R Square
BIC
Chi-Square
Cochrane-Orcutt
Confidence Interval
Error
Mean Absolute Percent Error
Mean Error
Mean Absolute Error
Mean Square Error
Normality Error
R Square
Root Mean Square Error
Standard Deviation of Error
Sum of Squared Error
Theil's Statistic


Descriptive Statistics
Auto Correlation
Auto Covariance
Coefficient of Determination
Coefficient of Variance
Correlation Coefficient
Covariance
Durbin-Watson
Kurtosis
Ljung Box
Max
Mean
Mean Absolute Deviation
Mean Square Deviation
Median
Min
Mode
Partial Auto Correlation Coefficient
Range
Root Mean Square
Skewness
Standard Deviation
Sum of Square Deviation
Variance
Looking for ways to enhance your forecasting process?
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