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Forecasting Run Rate Revenue with Limited and Volatile Historical Data Using Self-Learning Blended Time Series Techniques
Forecasting Run Rate Revenue with Limited and Volatile Historical Data Using Self-Learning Blended Time Series Techniques
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机译：使用自学习混合时间序列技术，利用有限且易变的历史数据预测运行收入
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摘要
A system, method, and computer-readable medium are disclosed for manufacturing and configuring an information handling system, comprising: generating a first level forecast prediction, the first level forecast prediction being based upon seasonal factors and a trend component; generating a second level forecast prediction, the second level forecast prediction being based upon an average error between current time period revenue data and a plurality of previous time periods revenue data; generating a third level forecast prediction, the third level forecast prediction being based upon a remaining portion of a particular time period and data relating to an already completed portion of the particular time period; generating a final forecast prediction, the final forecast prediction being based upon the first level forecast prediction, the second level forecast prediction and the third level forecast prediction; and, adjusting inventory used for manufacturing and configuring the information handling system based upon the final forecast prediction.
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