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ArticleConsiderations of a retail forecasting practitioner

Brian Seaman2018

Article2018

Considerations of a retail forecasting practitioner

50 citations·0/0 files stored·International Journal of Forecasting

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Forecasting Techniques and Applications Supply Chain and Inventory Management Big Data and Business Intelligence

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References

n.d.Forecasting principles and practice 1990How Many Parts to Make at Once 2015Dynamic pricing and learning: Historical origins, current research, and new directions 2014HOW MANY PARTS TO MAKE AT ONCE 1963An inventory pricing problem 2009Markovian Demand Inventory Models 1998Order forecasts, retail sales, and the marketing mix for consumer durables

Cited by

2020Generalizing the Theta method for automatic forecasting 2023Which product description phrases affect sales forecasting? An explainable AI framework by integrating WaveNet neural network models with multiple regression 2023Simplifying tree-based methods for retail sales forecasting with explanatory variables 2021Product sales probabilistic forecasting: An empirical evaluation using the M5 competition data 2020Control of inventory dynamics: A survey of special cases for products with low demand

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Details

Year2018

Typearticle

Published2018-04-17

VenueInternational Journal of Forecasting

ISSN-L0169-2070

Languageen

Citations50

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1016/j.ijforecast.2018.03.001

openalex_workW2802321709

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