# Vorsanger

## Jean-Philippe Vorsanger, Toronto CA

Patent application number | Description | Published |
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20090089143 | METHODS AND SYSTEMS FOR FORECASTING PRODUCT DEMAND DURING PROMOTIONAL EVENTS USING STATISTICAL CONFIDENCE FILTERS - An improved method for forecasting and modeling product demand for a product during promotional periods. The forecasting methodology employs information about prior promotional demand forecasts, prior product sales, and the data dispersion and the number of data samples in a product class hierarchy to dynamically determine the optimal level at which to compute promotional uplift coefficients. The methodology calculates confidence values for promotional uplift coefficients for products at each level in a merchandise product hierarchy, and uses the confidence values as a filter to determine the optimal level for promotional uplift aggregation. | 04-02-2009 |

20090177520 | TECHNIQUES FOR CASUAL DEMAND FORECASTING - Techniques for casual demand forecasting are provided. Information is extracted from a database and is preprocessed to produce adjusted input regression variables. The adjusted input regression variables are fed to a regression service to produce regression coefficients. The regression coefficients are then post processed to produce uplifts and adjustments to the uplifts for the regression coefficients. | 07-09-2009 |

## Jean-Philippe Vorsanger US

Patent application number | Description | Published |
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20090125375 | METHODS AND SYSTEMS FOR FORECASTING PRODUCT DEMAND DURING PROMOTIONAL EVENTS USING A CAUSAL METHODOLOGY - An improved method for forecasting and modeling product demand for a product during promotional periods. The forecasting methodology employs a multivariable regression model to model the causal relationship between product demand and the attributes of past promotional activities. The model is utilized to calculate the promotional uplift from the coefficients of the regression equation. The methodology utilizes a mathematical formulation that transforms regression coefficients, a combination of additive and multiplicative coefficients, into a single promotional uplift coefficient that can be used directly in promotional demand forecasting calculations. | 05-14-2009 |

## J.p Vorsanger, Toronto CA

Patent application number | Description | Published |
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20090327027 | METHODS AND SYSTEMS FOR TRANSFORMING LOGISTIC VARIABLES INTO NUMERICAL VALUES FOR USE IN DEMAND CHAIN FORECASTING - An improved method for forecasting and modeling product demand. The forecasting methodology employs a multivariable regression model to model the causal relationship between product demand and the attributes of past promotional activities. This improved forecasting methodology enhances the applicability of regression models when dealing with logistic variables. It provides a novel technique to transform such variables into numerical values, resulting in more accurate and more efficient regression models. Furthermore, the reduction in the number of variables improves the stability and predictive power of the regression models. | 12-31-2009 |