Leveraging Elastic Demand for Forecasting

September 09, 2018 ยท Declared Dead ยท ๐Ÿ› International Conference on Machine Learning and Applications

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Authors Houtao Deng, Ganesh Krishnan, Ji Chen, Dong Liang arXiv ID 1809.03018 Category stat.ML: Machine Learning (Stat) Cross-listed cs.LG Citations 1 Venue International Conference on Machine Learning and Applications Last Checked 4 months ago
Abstract
Demand variance can result in a mismatch between planned supply and actual demand. Demand shaping strategies such as pricing can be used to shift elastic demand to reduce the imbalance. In this work, we propose to consider elastic demand in the forecasting phase. We present a method to reallocate the historical elastic demand to reduce variance, thus making forecasting and supply planning more effective.
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