Retail forecasting under the influence of promotional discounts

Detalhes bibliográficos
Autor(a) principal: Carreira, André Neves de Almeida Roque
Data de Publicação: 2017
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/22165
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
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spelling Retail forecasting under the influence of promotional discountsStorage allocationBig DataPhantom stockMachine LearningAlgorithmDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceAs we observe a rise of competitive pressure in retail business, major players control the market using promotions to attract and increase the fidelity of customers. These promotions cause a significant decrease in profit margin hence forcing a stronger focus on logistic processes efficiency. Forced to make use of stochastic tools in order to better allocate resources for the future events, those responsible for assortment strategy frequently choose time series based algorithms and simple extrapolation of historical data, under the assumption that these events can be considered continuous, smooth and possibly periodic. While computationally light, these algorithms are subject to greater uncertainty due to the simplistic approach. Meanwhile, the explosive growth of information and availability of data brought by improved automatic collection systems allow new and more complex approaches.These tackle the high dimensionality problem, focused on retrieving knowledge from potentially rich sources of information. The work developed in this thesis aims to develop a comprehensive and scalable solution using machine learning algorithms to forecast daily sales of articles in a retail store, under the influence of discounts, as to support logistic storage allocation operations. This is done with the purpose of decreasing costs related to stock warehousing while simultaneously decreasing stock-outs as they directly influence client satisfaction with the brand. The development of a successful automatic modelling system would simultaneously allow retailers to optimize their promotional schedules based on the expected results of different simulations. Using real data from one of the biggest retailers in Portugal, this project’s falls into the definition of Big Data due to extensive historical databases which cannot be simultaneously processed. The presence of discrepancies between registered stock and physical availability - Phantom stock - will be considered as well as relevant external events which affect the sales.Vanneschi, LeonardoRUNCarreira, André Neves de Almeida Roque2017-07-26T11:01:35Z2017-07-212017-07-21T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/22165TID:201719886enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:09:30Zoai:run.unl.pt:10362/22165Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:27:10.194763Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Retail forecasting under the influence of promotional discounts
title Retail forecasting under the influence of promotional discounts
spellingShingle Retail forecasting under the influence of promotional discounts
Carreira, André Neves de Almeida Roque
Storage allocation
Big Data
Phantom stock
Machine Learning
Algorithm
title_short Retail forecasting under the influence of promotional discounts
title_full Retail forecasting under the influence of promotional discounts
title_fullStr Retail forecasting under the influence of promotional discounts
title_full_unstemmed Retail forecasting under the influence of promotional discounts
title_sort Retail forecasting under the influence of promotional discounts
author Carreira, André Neves de Almeida Roque
author_facet Carreira, André Neves de Almeida Roque
author_role author
dc.contributor.none.fl_str_mv Vanneschi, Leonardo
RUN
dc.contributor.author.fl_str_mv Carreira, André Neves de Almeida Roque
dc.subject.por.fl_str_mv Storage allocation
Big Data
Phantom stock
Machine Learning
Algorithm
topic Storage allocation
Big Data
Phantom stock
Machine Learning
Algorithm
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
publishDate 2017
dc.date.none.fl_str_mv 2017-07-26T11:01:35Z
2017-07-21
2017-07-21T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/22165
TID:201719886
url http://hdl.handle.net/10362/22165
identifier_str_mv TID:201719886
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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