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Disaggregated Retail Forecasting: A Gradient Boosting Approach · Study

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ArticleDisaggregated Retail Forecasting: A Gradient Boosting Approach

Luiz Augusto C.G. Andrade2022

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Disaggregated Retail Forecasting: A Gradient Boosting Approach

Luiz Augusto C.G. Andrade · Cláudio Barbieri da Cunha

41 citations·0/0 files stored·Applied Soft Computing

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Forecasting Techniques and Applications Supply Chain and Inventory Management Consumer Market Behavior and Pricing

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References

2006Another look at measures of forecast accuracy 1994Comparing Predictive Accuracy 1995Comparing Predictive Accuracy 2019DeepAR: Probabilistic forecasting with autoregressive recurrent networks 1971Time Series Analysis Forecasting and Control 2020Impact of Covid-19 on consumer behavior: Will the old habits return or die?200625 years of time series forecasting 2003Neural network forecasting for seasonal and trend time series

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2023Predictive Analytics to Improve Inventory Performance: A Case Study of an FMCG Company

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Details

Year2022

Typearticle

Published2022-01-01

VenueApplied Soft Computing

ISSN-L1568-4946

Languageen

Citations41

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1016/j.asoc.2023.110283

openalex_workW4365459802

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