SYSTEM AND METHOD FOR DETERMINING DEMAND DISTRIBUTION FOR SAFETY STOCK PLANNING

Patent №

US 8,200,521

Granted

2012-06-12

Filed 2005

Owner

Lab

AI components

3

ml · planning · hardware

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

11211842

A system and method are described for identifying an appropriate demand distribution to use for safety stock planning within a supply chain management (“SCM”) system. For example, one embodiment of the invention comprises a computer-implemented method comprising: extracting historical demand characteristics for a product from a specified data source, the demand characteristics including the mean value of the demand for specified periods of time and/or the fraction of periods without any demand; evaluating the historical demand characteristics including the mean value of the demand for the specified periods and/or the fraction of periods without any demand; based on the evaluation, categorizing the demand characteristics into one of two or more different predefined categories; and using the classification to perform safety stock calculations for the product over the specified periods of time.

Machine learningPlanningAI hardwareG06Q 10/06G06Q 10/06312G06Q 10/06315G06Q 30/0204

AI classification

Machine learning0.97
Planning0.96
AI hardware0.95
Knowledge representation0.23
Vision0.05
Evolutionary computation0.02
Natural language0.01
Speech0.00
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