Study of seasonality, impact of promotions and demand forecasting methods: based on the example of a company

Detalhes bibliográficos
Autor(a) principal: Beja, Catarina maria pedro
Data de Publicação: 2018
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/52272
Resumo: Demand forecasting might be a challenging activity for any company. Actually, it is extremely difficult to predict the future trends, due to constant changes and increasing of complexity. An effective sales forecasting can become a core competence and help to surpass the competition. The present document was developed to assess the current ABC company’s demand forecasting method and to understand which factors can influence the sales of the company. Therefore, an analysis of seasonality, impact of promotions and forecasting methods was conducted. Thus, in this report both a forecasting method for the subcategory Ice Cream and an adjustment of promotions were suggested, allowing then for more accurate forecasting results.
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spelling Study of seasonality, impact of promotions and demand forecasting methods: based on the example of a companyDemandDemand forecastingSeasonalityEffect of promotionsForecasting methodsDomínio/Área Científica::Ciências Sociais::Economia e GestãoDemand forecasting might be a challenging activity for any company. Actually, it is extremely difficult to predict the future trends, due to constant changes and increasing of complexity. An effective sales forecasting can become a core competence and help to surpass the competition. The present document was developed to assess the current ABC company’s demand forecasting method and to understand which factors can influence the sales of the company. Therefore, an analysis of seasonality, impact of promotions and forecasting methods was conducted. Thus, in this report both a forecasting method for the subcategory Ice Cream and an adjustment of promotions were suggested, allowing then for more accurate forecasting results.Baganha, Manuel PedroRUNBeja, Catarina maria pedro2021-06-30T00:30:14Z2018-06-042018-06-04T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/52272TID:201974266enginfo: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:RCAAP2024-03-11T04:26:03Zoai:run.unl.pt:10362/52272Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:32:32.244740Repositório 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 Study of seasonality, impact of promotions and demand forecasting methods: based on the example of a company
title Study of seasonality, impact of promotions and demand forecasting methods: based on the example of a company
spellingShingle Study of seasonality, impact of promotions and demand forecasting methods: based on the example of a company
Beja, Catarina maria pedro
Demand
Demand forecasting
Seasonality
Effect of promotions
Forecasting methods
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short Study of seasonality, impact of promotions and demand forecasting methods: based on the example of a company
title_full Study of seasonality, impact of promotions and demand forecasting methods: based on the example of a company
title_fullStr Study of seasonality, impact of promotions and demand forecasting methods: based on the example of a company
title_full_unstemmed Study of seasonality, impact of promotions and demand forecasting methods: based on the example of a company
title_sort Study of seasonality, impact of promotions and demand forecasting methods: based on the example of a company
author Beja, Catarina maria pedro
author_facet Beja, Catarina maria pedro
author_role author
dc.contributor.none.fl_str_mv Baganha, Manuel Pedro
RUN
dc.contributor.author.fl_str_mv Beja, Catarina maria pedro
dc.subject.por.fl_str_mv Demand
Demand forecasting
Seasonality
Effect of promotions
Forecasting methods
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Demand
Demand forecasting
Seasonality
Effect of promotions
Forecasting methods
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description Demand forecasting might be a challenging activity for any company. Actually, it is extremely difficult to predict the future trends, due to constant changes and increasing of complexity. An effective sales forecasting can become a core competence and help to surpass the competition. The present document was developed to assess the current ABC company’s demand forecasting method and to understand which factors can influence the sales of the company. Therefore, an analysis of seasonality, impact of promotions and forecasting methods was conducted. Thus, in this report both a forecasting method for the subcategory Ice Cream and an adjustment of promotions were suggested, allowing then for more accurate forecasting results.
publishDate 2018
dc.date.none.fl_str_mv 2018-06-04
2018-06-04T00:00:00Z
2021-06-30T00:30:14Z
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/10362/52272
TID:201974266
url http://hdl.handle.net/10362/52272
identifier_str_mv TID:201974266
dc.language.iso.fl_str_mv eng
language eng
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instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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