Artificial intelligence in digital customer journey
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
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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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) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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