Forecasting at Scale: The Architecture of a Modern Retail Forecasting System

Phillip Yelland, Zeynep Erkin Baz and David Serafini

Foresight: The International Journal of Applied Forecasting, 2019, issue 55, 10-18

Abstract: In this first of a three-part article, Phillip Yelland, Zeynep Erkin Baz, and David Serafini, technical leads in the Data Science/AI team at Target, describe their team's efforts to construct a demand forecasting system capable of efficiently generating the nearly one billion weekly forecasts required by the Target Corporation. They highlight the interplay of challenges arising in the contexts of statistical modeling, software engineering, and business practice and explain how the team surmounted obstacles in these three fields of knowledge. Subsequent parts of the article will address the process of implementing the forecasting system and its maintenance in production.

Date: 2019
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:for:ijafaa:y:2019:i:55:p:10-18

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