SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Post-script—Retail forecasting: Research and practice · Study

ArticleShelves

ArticlePost-script—Retail forecasting: Research and practice

Robert A. Fildes2021

OA

Articlegreen2021

Post-script—Retail forecasting: Research and practice

Robert A. Fildes · Stephan Kolassa · Shaohui Ma

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

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

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

Abstract

No abstract was published for this record.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 29 citations exist upstream.

References

2022M5 accuracy competition: Results, findings, and conclusions 2019Retail forecasting: Research and practice 2021Principles and algorithms for forecasting groups of time series: Locality and globality 2020Retail sales forecasting with meta-learning 2020Daily retail demand forecasting using machine learning with emphasis on calendric special days 2020A data-driven approach to adaptive synchronization of demand and supply in omni-channel retail supply chains 2019The Future of Retail Operations 2019Demand forecasting in retail operations for fashionable products: methods, practices, and real case study

Related works

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2021Classification-based model selection in retail demand forecastingarticle · 5 shared references 2023Simplifying tree-based methods for retail sales forecasting with explanatory variablesarticle · 5 shared references 2022Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting salesarticle · 4 shared references 2023Demand forecasting for fashion products: A systematic reviewreview · 4 shared references 2022The derived demand for advertising expenses and implications on sustainability: a comparative study using deep learning and traditional machine learning methodsarticle · 3 shared references 2022Considering economic indicators and dynamic channel interactions to conduct sales forecasting for retail sectorsarticle · 3 shared references

Details

Year2021

Typearticle

Published2021-11-17

VenueInternational Journal of Forecasting

ISSN-L0169-2070

Languageen

Citations29

Files0 public / 0

ShelfForecasting Techniques and Applications

Identifiers

doi10.1016/j.ijforecast.2021.09.012

openalex_workW3213099844

Links

Imported from OpenAlex (CC0) — nothing here is generated.