In a new study, researchers developed a model that helps online retailers to more accurately predict customer purchases from a wide range of products in complex online shopping environments, reducing sales forecast errors by 10%–30% compared to traditional methods. Their study, titled “A High-Dimensional Choice Model for Online Retailing,” is published in the journal Management Science.
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