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Tactical sales forecasting using a very large set of macroeconomic indicators · Study

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ArticleTactical sales forecasting using a very large set of macroeconomic indicators

Yves Sagaert2017

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Tactical sales forecasting using a very large set of macroeconomic indicators

Yves Sagaert · El‐Houssaine Aghezzaf · Nikolaos Kourentzes · Bram Desmet

71 citations·0/0 files stored·European Journal of Operational Research

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Forecasting Techniques and Applications Time Series Analysis and Forecasting Innovation Diffusion and Forecasting

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References

2002Determining the Number of Factors in Approximate Factor Models 2008Automatic Time Series Forecasting: The forecast Package for R 2002Forecasting Using Principal Components From a Large Number of Predictors 2002Macroeconomic Forecasting Using Diffusion Indexes 2003Inferential Theory for Factor Models of Large Dimensions 2002A state space framework for automatic forecasting using exponential smoothing methods 2006Exponential smoothing: The state of the art—Part II 2009forecast: Forecasting Functions for Time Series and Linear Models

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2018Demand forecasting with user-generated online information 2022Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting sales 2019Product sales forecasting using macroeconomic indicators and online reviews: a method combining prospect theory and sentiment analysis 2020Using shared sell-through data to forecast wholesaler demand in multi-echelon supply chains 2023Which product description phrases affect sales forecasting? An explainable AI framework by integrating WaveNet neural network models with multiple regression

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Details

Year2017

Typearticle

Published2017-06-29

VenueEuropean Journal of Operational Research

ISSN-L0377-2217

Languageen

Citations71

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1016/j.ejor.2017.06.054

openalex_workW2726164200

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2022Considering economic indicators and dynamic channel interactions to conduct sales forecasting for retail sectors

2019A leading macroeconomic indicators’ based framework to automatically generate tactical sales forecasts

2023Analyzing and forecasting service demands using human mobility data: A two-stage predictive framework with decomposition and multivariate analysis