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.

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