Customer interactions with AI: How can Marley Spoon optimize its chatbot performance to improve the touchpoint experience along the customer journey?
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10071/28914 |
Resumo: | The purpose of this in-company project is to identify chatbot optimization recommendations for Marley Spoon to improve the touchpoint experience along the customer journey. Customer interactions with Artificial Intelligence became a relevant part of communication channels within business processes and are already applied in many marketing strategies. Grace to its machine learning capability, chatbots can combine natural language processing and natural language understanding in order to offer an automated customer experience. Nowadays, AI-chatbots are not only able to operate on a mechanical and thinking level, but are also developing on a feeling level. Hence, chatbots can also understand human emotions and adapt empathically to different moods and circumstances. In this way, a well implemented chatbot should not only be used as a simple FAQ machine, but also be implemented for different marketing purposes such as customer attraction and retention. The results of this research are based on a profound literature review with recent articles of well-respected researchers in this field. Moreover, a primary research was conducted in form of in-depth interviews with different specialist of the company and a customer satisfaction survey collected by the chatbot platform. Deriving from the findings of this research, there are three recommendations provided to the company, which should be implemented to improve the touchpoint experience. Those three implementations should be a be a new chatbot interface with more customer engagement, integrating the chatbot to different customer journey stages and setting up a chatbot superteam with specified scope and responsibilities. |
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Customer interactions with AI: How can Marley Spoon optimize its chatbot performance to improve the touchpoint experience along the customer journey?Inteligência artificial - -- Artificial intelligenceChatbotCustomer interactionCustomer engagementCustomer journeyAutomated customer experienceSuperteamsInterações dos clientesComprometimento com o clienteJornada do clienteExperiência automatizada ao clienteSuperequipasThe purpose of this in-company project is to identify chatbot optimization recommendations for Marley Spoon to improve the touchpoint experience along the customer journey. Customer interactions with Artificial Intelligence became a relevant part of communication channels within business processes and are already applied in many marketing strategies. Grace to its machine learning capability, chatbots can combine natural language processing and natural language understanding in order to offer an automated customer experience. Nowadays, AI-chatbots are not only able to operate on a mechanical and thinking level, but are also developing on a feeling level. Hence, chatbots can also understand human emotions and adapt empathically to different moods and circumstances. In this way, a well implemented chatbot should not only be used as a simple FAQ machine, but also be implemented for different marketing purposes such as customer attraction and retention. The results of this research are based on a profound literature review with recent articles of well-respected researchers in this field. Moreover, a primary research was conducted in form of in-depth interviews with different specialist of the company and a customer satisfaction survey collected by the chatbot platform. Deriving from the findings of this research, there are three recommendations provided to the company, which should be implemented to improve the touchpoint experience. Those three implementations should be a be a new chatbot interface with more customer engagement, integrating the chatbot to different customer journey stages and setting up a chatbot superteam with specified scope and responsibilities.O objetivo deste projeto em empresa é identificar recomendações de otimização de chatbot para Marley Spoon, de modo a melhorar a experiência touchpoint ao longo da jornada do cliente. As interações dos clientes com a Inteligência Artificial tornaram-se uma parte crucial dos canais de comunicação integradas nos processos de negócios, sendo que já estão a ser aplicadas em muitas estratégias de marketing. Devido à capacidade de aprendizagem, os chatbots podem combinar processamento de linguagem natural com compreensão de linguagem natural, de maneira a oferecer uma experiência automatizada ao cliente. Nos dias de hoje, os AI-chatbots não só são capazes de operar num nível mecânico e de pensamento, mas também estão desenvolvidos a nível de sentimento. Os chatbots podem inclusivamente entender as emoções humanas e adaptar-se efetivamente diferentes estados de espírito e circunstâncias. Desta forma, um chatbot eficiente não deve ser usado apenas como uma simples máquina de resposta a perguntas frequentes, mas também deve ser utilizado para diferentes fins de marketing, como a atração e retenção de clientes. Os resultados da pesquisa foram retirados da análise de conceitos teóricos da literatura científica, focada em artigos recentes de investigadores referenciados nessa área. A pesquisa primária foi realizada em forma de entrevistas com diferentes especialistas da empresa e, também, através de uma pesquisa de satisfação de cliente na plataforma chatbot. Com base nos resultados desta pesquisa, há três recomendações facultadas à empresa, que devem ser implementadas para melhorar a experiência touchpoint. Uma nova interface chatbot com mais comprometimento com o cliente, integrando o chatbot em diferentes estágios da jornada do cliente e configurando uma superteam chatbot com intuito e responsabilidades especificados.2023-10-26T00:00:00Z2021-12-03T00:00:00Z2021-12-032021-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10071/28914TID:202815374engRoesler, Jakobinfo: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:RCAAP2023-11-09T17:47:05Zoai:repositorio.iscte-iul.pt:10071/28914Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:22:48.151826Repositório 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 |
Customer interactions with AI: How can Marley Spoon optimize its chatbot performance to improve the touchpoint experience along the customer journey? |
title |
Customer interactions with AI: How can Marley Spoon optimize its chatbot performance to improve the touchpoint experience along the customer journey? |
spellingShingle |
Customer interactions with AI: How can Marley Spoon optimize its chatbot performance to improve the touchpoint experience along the customer journey? Roesler, Jakob Inteligência artificial - -- Artificial intelligence Chatbot Customer interaction Customer engagement Customer journey Automated customer experience Superteams Interações dos clientes Comprometimento com o cliente Jornada do cliente Experiência automatizada ao cliente Superequipas |
title_short |
Customer interactions with AI: How can Marley Spoon optimize its chatbot performance to improve the touchpoint experience along the customer journey? |
title_full |
Customer interactions with AI: How can Marley Spoon optimize its chatbot performance to improve the touchpoint experience along the customer journey? |
title_fullStr |
Customer interactions with AI: How can Marley Spoon optimize its chatbot performance to improve the touchpoint experience along the customer journey? |
title_full_unstemmed |
Customer interactions with AI: How can Marley Spoon optimize its chatbot performance to improve the touchpoint experience along the customer journey? |
title_sort |
Customer interactions with AI: How can Marley Spoon optimize its chatbot performance to improve the touchpoint experience along the customer journey? |
author |
Roesler, Jakob |
author_facet |
Roesler, Jakob |
author_role |
author |
dc.contributor.author.fl_str_mv |
Roesler, Jakob |
dc.subject.por.fl_str_mv |
Inteligência artificial - -- Artificial intelligence Chatbot Customer interaction Customer engagement Customer journey Automated customer experience Superteams Interações dos clientes Comprometimento com o cliente Jornada do cliente Experiência automatizada ao cliente Superequipas |
topic |
Inteligência artificial - -- Artificial intelligence Chatbot Customer interaction Customer engagement Customer journey Automated customer experience Superteams Interações dos clientes Comprometimento com o cliente Jornada do cliente Experiência automatizada ao cliente Superequipas |
description |
The purpose of this in-company project is to identify chatbot optimization recommendations for Marley Spoon to improve the touchpoint experience along the customer journey. Customer interactions with Artificial Intelligence became a relevant part of communication channels within business processes and are already applied in many marketing strategies. Grace to its machine learning capability, chatbots can combine natural language processing and natural language understanding in order to offer an automated customer experience. Nowadays, AI-chatbots are not only able to operate on a mechanical and thinking level, but are also developing on a feeling level. Hence, chatbots can also understand human emotions and adapt empathically to different moods and circumstances. In this way, a well implemented chatbot should not only be used as a simple FAQ machine, but also be implemented for different marketing purposes such as customer attraction and retention. The results of this research are based on a profound literature review with recent articles of well-respected researchers in this field. Moreover, a primary research was conducted in form of in-depth interviews with different specialist of the company and a customer satisfaction survey collected by the chatbot platform. Deriving from the findings of this research, there are three recommendations provided to the company, which should be implemented to improve the touchpoint experience. Those three implementations should be a be a new chatbot interface with more customer engagement, integrating the chatbot to different customer journey stages and setting up a chatbot superteam with specified scope and responsibilities. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-12-03T00:00:00Z 2021-12-03 2021-11 2023-10-26T00:00:00Z |
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/10071/28914 TID:202815374 |
url |
http://hdl.handle.net/10071/28914 |
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TID:202815374 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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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) |
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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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