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Retail forecasting using parameter estimation

A parameter estimation and user-friendly technology, applied in computing, data processing applications, complex mathematical operations, etc., can solve problems such as damage to isolated points in data, not "robust"

Active Publication Date: 2014-03-19
ORACLE INT CORP
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, such methods are not known to be "robust" as they are susceptible to corruption by outliers in the data

Method used

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  • Retail forecasting using parameter estimation
  • Retail forecasting using parameter estimation
  • Retail forecasting using parameter estimation

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Embodiment Construction

[0007] One embodiment is a computer system for retail modeling and forecasting using parameter estimates. The system stores the input data in a dense matrix format such as an array of floats, creates additional temporary arrays to represent the appropriate dual formulation, and uses the modified dual simplex method to solve the resulting specially structured dual linear program to obtain the binned variable to achieve the desired optimization level. The results are parameter values ​​for retail modeling and forecasting.

[0008] Parameter estimation methods can be used for retail sales forecasting. For example, the method can be used to determine the price elasticity of demand for a consumer product, such as how much sales would increase if the price of shirts were reduced by 20%. Some known parameter estimation methods, such as linear regression, also known as "Least Squares" ("OLS"), as described above, are susceptible to outliers in the data. Other known methods include "...

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Abstract

A system generates a parameter estimation of a plurality of variables. The system receives input data that includes user acceptance criteria and user objectives. The system encodes the input data into a matrix and transforms the input data using a dual linear program. The system then solves the dual linear program using a dual simplex method with boxed variables, and recovers parameter values for the parameter estimation. The parameter estimation may be used to provide retail forecasting.

Description

technical field [0001] One embodiment is directed generally to computer systems, and in particular to retail sales forecasting computer systems using parameter estimates. Background technique [0002] Parameter estimation provides the efficient use and analysis of data to aid in the mathematical modeling of phenomena and the estimation of constants that occur in these models. Most parameter estimation can involve four optimization problems: (1) criterion: selection of the best function for optimization (minimization or maximization); (2) estimation: optimization of the selected function; (3) design: obtaining Optimal design for optimal parameter estimation; and (4) Modeling: Determination of the mathematical model that best describes the system used to measure the data. [0003] Parameter estimation methods typically use linear regression techniques, also known as "least squares" ("OLS"). However, such methods are not known to be "robust" as they are susceptible to corrupt...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/00G06F17/10
CPCG06Q30/0202
Inventor S·苏布拉马尼安B·K·克利什南
Owner ORACLE INT CORP