Forecasting sales and transactions of fast-food stores: a proof of concept

Bibliographic Details
Main Author: Mousinho, Cristina Isabel Palma
Publication Date: 2022
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/135048
Summary: Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science
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spelling Forecasting sales and transactions of fast-food stores: a proof of conceptMachine LearningForecasting demandTime seriesARIMAFacebook ProphetInternship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data ScienceAs time goes on, more and more clients look for solutions to their data-related problems. During a 9-month internship at the Portuguese consulting company Noesis, a request was presented by a customer that wished to improve the forecasting capabilities of their fast-food chain, on sales and transactions, for four different distribution channels, and globally. Following a data analytics approach, hundreds of time series were examined, external variables were added, and two algorithms were used - ARIMA and Facebook’s Prophet. Both models were evaluated, and as each of them performed better in different segments, a hybrid system was implemented, successfully completing the task at hand. Based on the results, future improvements and recommendations were also identified.Castelli, MauroLopes, Pedro FreitasRUNMousinho, Cristina Isabel Palma2022-03-23T14:23:24Z2022-01-282022-01-28T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/135048TID:202970973enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T18:00:28Zoai:run.unl.pt:10362/135048Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:31:38.642601Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Forecasting sales and transactions of fast-food stores: a proof of concept
title Forecasting sales and transactions of fast-food stores: a proof of concept
spellingShingle Forecasting sales and transactions of fast-food stores: a proof of concept
Mousinho, Cristina Isabel Palma
Machine Learning
Forecasting demand
Time series
ARIMA
Facebook Prophet
title_short Forecasting sales and transactions of fast-food stores: a proof of concept
title_full Forecasting sales and transactions of fast-food stores: a proof of concept
title_fullStr Forecasting sales and transactions of fast-food stores: a proof of concept
title_full_unstemmed Forecasting sales and transactions of fast-food stores: a proof of concept
title_sort Forecasting sales and transactions of fast-food stores: a proof of concept
author Mousinho, Cristina Isabel Palma
author_facet Mousinho, Cristina Isabel Palma
author_role author
dc.contributor.none.fl_str_mv Castelli, Mauro
Lopes, Pedro Freitas
RUN
dc.contributor.author.fl_str_mv Mousinho, Cristina Isabel Palma
dc.subject.por.fl_str_mv Machine Learning
Forecasting demand
Time series
ARIMA
Facebook Prophet
topic Machine Learning
Forecasting demand
Time series
ARIMA
Facebook Prophet
description Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science
publishDate 2022
dc.date.none.fl_str_mv 2022-03-23T14:23:24Z
2022-01-28
2022-01-28T00:00:00Z
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/10362/135048
TID:202970973
url http://hdl.handle.net/10362/135048
identifier_str_mv TID:202970973
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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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