Artificial intelligence in digital customer journey

Detalhes bibliográficos
Autor(a) principal: Araújo, C.
Data de Publicação: 2022
Outros Autores: Gonçalves, R., Lopes da Costa, R., Dias, Á., Pereira, L.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/28718
Resumo: Artificial intelligence (AI) is present in many business areas, the marketing of the fashion industry being one of them. In this sense, AI becomes relevant for firms, helping to acquire better consumer data and to stand out from the competition by offering personalised, rich, and unique experiences. This study seeks to understand the current state of interaction that consumers have with AI during the digital customer journey (CJ), in the fashion industry. This research focused on the fashion industry and addresses the following AI technologies: recommendation systems, chatbots and virtual testers. These variables were deepened through an online questionnaire and an evaluation of the offerings that various brands have on their websites and apps. The data shows that people who interact with AI are younger and have self-confidence, they are mainly looking for a quick response to their requests, mainly through recommendation systems, chatbots and virtual testers
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spelling Artificial intelligence in digital customer journeyArtificial intelligenceCustomer journeyTechnology adoptionRecommendation systemsChatbotVirtual try-onArtificial intelligence (AI) is present in many business areas, the marketing of the fashion industry being one of them. In this sense, AI becomes relevant for firms, helping to acquire better consumer data and to stand out from the competition by offering personalised, rich, and unique experiences. This study seeks to understand the current state of interaction that consumers have with AI during the digital customer journey (CJ), in the fashion industry. This research focused on the fashion industry and addresses the following AI technologies: recommendation systems, chatbots and virtual testers. These variables were deepened through an online questionnaire and an evaluation of the offerings that various brands have on their websites and apps. The data shows that people who interact with AI are younger and have self-confidence, they are mainly looking for a quick response to their requests, mainly through recommendation systems, chatbots and virtual testersInderscience2023-06-30T00:00:00Z2022-01-01T00:00:00Z20222023-05-25T14:43:27Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/28718eng1750-066410.1504/IJECRM.2022.124098Araújo, C.Gonçalves, R.Lopes da Costa, R.Dias, Á.Pereira, L.info: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:RCAAP2023-11-09T18:02:11Zoai:repositorio.iscte-iul.pt:10071/28718Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:33:27.422028Repositório 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 Artificial intelligence in digital customer journey
title Artificial intelligence in digital customer journey
spellingShingle Artificial intelligence in digital customer journey
Araújo, C.
Artificial intelligence
Customer journey
Technology adoption
Recommendation systems
Chatbot
Virtual try-on
title_short Artificial intelligence in digital customer journey
title_full Artificial intelligence in digital customer journey
title_fullStr Artificial intelligence in digital customer journey
title_full_unstemmed Artificial intelligence in digital customer journey
title_sort Artificial intelligence in digital customer journey
author Araújo, C.
author_facet Araújo, C.
Gonçalves, R.
Lopes da Costa, R.
Dias, Á.
Pereira, L.
author_role author
author2 Gonçalves, R.
Lopes da Costa, R.
Dias, Á.
Pereira, L.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Araújo, C.
Gonçalves, R.
Lopes da Costa, R.
Dias, Á.
Pereira, L.
dc.subject.por.fl_str_mv Artificial intelligence
Customer journey
Technology adoption
Recommendation systems
Chatbot
Virtual try-on
topic Artificial intelligence
Customer journey
Technology adoption
Recommendation systems
Chatbot
Virtual try-on
description Artificial intelligence (AI) is present in many business areas, the marketing of the fashion industry being one of them. In this sense, AI becomes relevant for firms, helping to acquire better consumer data and to stand out from the competition by offering personalised, rich, and unique experiences. This study seeks to understand the current state of interaction that consumers have with AI during the digital customer journey (CJ), in the fashion industry. This research focused on the fashion industry and addresses the following AI technologies: recommendation systems, chatbots and virtual testers. These variables were deepened through an online questionnaire and an evaluation of the offerings that various brands have on their websites and apps. The data shows that people who interact with AI are younger and have self-confidence, they are mainly looking for a quick response to their requests, mainly through recommendation systems, chatbots and virtual testers
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01T00:00:00Z
2022
2023-06-30T00:00:00Z
2023-05-25T14:43:27Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/28718
url http://hdl.handle.net/10071/28718
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1750-0664
10.1504/IJECRM.2022.124098
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.publisher.none.fl_str_mv Inderscience
publisher.none.fl_str_mv Inderscience
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
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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