{"id":1099,"date":"2025-05-09T15:48:10","date_gmt":"2025-05-09T12:48:10","guid":{"rendered":"https:\/\/www.etimm.ase.ro\/?p=1099"},"modified":"2025-05-11T15:48:51","modified_gmt":"2025-05-11T12:48:51","slug":"leveraging-ai-for-enhancing-sustainable-marketing-and-consumer-experience-in-e-commerce","status":"publish","type":"post","link":"https:\/\/www.etimm.ase.ro\/?p=1099","title":{"rendered":"Leveraging AI for Enhancing Sustainable Marketing and Consumer Experience in E-Commerce"},"content":{"rendered":"<h4>\n<span style=\"font-size:12px;\"><span style=\"font-family: georgia,serif;\"><strong>Title<\/strong><\/span><\/span><br \/>\n<\/h4>\n<p style=\"text-align: justify;\">\n<span style=\"font-size:12px;\"><span style=\"font-family: georgia,serif;\"><meta name=\"citation_title\" content=\"Leveraging AI for Enhancing Sustainable Marketing and Consumer Experience in E-Commerce\"\/>Leveraging AI for Enhancing Sustainable Marketing and Consumer Experience in E-Commerce<\/span><\/span>\n<\/p>\n<h4>\n<span style=\"font-size:12px;\"><span style=\"font-family: georgia,serif;\"><strong>Author(s)<\/strong><\/span><\/span><br \/>\n<\/h4>\n<p style=\"text-align: justify;\">\n<span style=\"font-size:12px;\"><span style=\"font-family: georgia,serif;\"><meta name=\"citation_author\" content=\"Kamran ALLAHVERDIYEV\"\/>Kamran ALLAHVERDIYEV<\/span><\/span>\n<\/p>\n<p>\n<span style=\"font-family:georgia,serif;\"><span style=\"font-size:12px;\"><meta name=\"citation_publication_date\" content=\"2025\/05\/09\"\/><meta name=\"citation_journal_title\" content=\"Journal of Emerging Trends in Marketing and Management\"\/><meta name=\"citation_volume\" content=\"1\"\/><meta name=\"citation_issue\" content=\"1\"\/><meta name=\"citation_firstpage\" content=\"49\"\/><meta name=\"citation_lastpage\" content=\"59\"\/><meta name=\"citation_place_published\" content=\"Bucharest, Romania\"\/><meta name=\"citation_publisher\" content=\"The Bucharest University of Economic Studies Publishing House\"\/><meta name=\"citation_issn\" content=\"2537-5865\"\/><\/span><\/span>\n<\/p>\n<h4>\n<span style=\"font-family:georgia,serif;\"><span style=\"font-size:12px;\"><strong>Classification JEL <\/strong><\/span><\/span><br \/>\n<\/h4>\n<p style=\"text-align: justify;\">\n<span style=\"font-family:georgia,serif;\"><span style=\"font-size:12px;\"><meta name=\"citation_classification_jel\" content=\"M31, O33.\"\/>M31, O33.<\/span><\/span>\n<\/p>\n<h4>\n<span style=\"font-family:georgia,serif;\"><span style=\"font-size:12px;\"><strong>Abstract<\/strong><\/span><\/span><br \/>\n<\/h4>\n<p style=\"text-align: justify;\">\n<span style=\"font-family:georgia,serif;\"><span style=\"font-size:12px;\"><meta name=\"citation_abstract\" content=\"This study examines how Artificial Intelligence (AI) can drive sustainable marketing efforts and improve consumer experience within e-commerce, responding to the growing demand for responsible, data-driven engagement. The research explores the potential of AI to create personalized and efficient consumer interactions that align with sustainable business practices. The main objectives include (1) identifying AI tools that enable tailored marketing in e-commerce, (2) understanding AI\u2019s impact on consumer satisfaction through real-time, responsive engagement, and (3) evaluating the sustainability and ethical implications of AI integration in digital marketing. The methodology is focused on adopting a qualitative approach, and there is also an analyze that underlines the DMAIC method. This study contains a case study of a single company successfully implementing AI-driven marketing and sustainable strategies. Methods include document analysis and targeted case studies of organizations that use machine learning and data analytics to enhance customer engagement, streamline marketing, and support environmental goals. The findings reveal that AI can meaningfully enrich the consumer journey through predictive insights, automated support, and real-time personalization, leading to improved satisfaction and loyalty. AI\u2019s sustainable impact is demonstrated in more efficient resource use and reduced waste in digital campaigns, offering a responsible path for e-commerce growth. This research contributes to e-commerce literature by outlining best practices for the ethical use of AI in ways that bolster consumer trust, data privacy, and transparency. It provides actionable recommendations for every company aiming to leverage AI effectively while fostering a sustainable and ethical business environment. This study offers valuable insights for e-commerce businesses looking to adopt AI strategies that enhance competitive advantage while advancing sustainability in a dynamic digital landscape.\"\/>This study examines how Artificial Intelligence (AI) can drive sustainable marketing efforts and improve consumer experience within e-commerce, responding to the growing demand for responsible, data-driven engagement. The research explores the potential of AI to create personalized and efficient consumer interactions that align with sustainable business practices. The main objectives include (1) identifying AI tools that enable tailored marketing in e-commerce, (2) understanding AI\u2019s impact on consumer satisfaction through real-time, responsive engagement, and (3) evaluating the sustainability and ethical implications of AI integration in digital marketing. The methodology is focused on adopting a qualitative approach, and there is also an analyze that underlines the DMAIC method. This study contains a case study of a single company successfully implementing AI-driven marketing and sustainable strategies. Methods include document analysis and targeted case studies of organizations that use machine learning and data analytics to enhance customer engagement, streamline marketing, and support environmental goals. The findings reveal that AI can meaningfully enrich the consumer journey through predictive insights, automated support, and real-time personalization, leading to improved satisfaction and loyalty. AI\u2019s sustainable impact is demonstrated in more efficient resource use and reduced waste in digital campaigns, offering a responsible path for e-commerce growth. This research contributes to e-commerce literature by outlining best practices for the ethical use of AI in ways that bolster consumer trust, data privacy, and transparency. It provides actionable recommendations for every company aiming to leverage AI effectively while fostering a sustainable and ethical business environment. This study offers valuable insights for e-commerce businesses looking to adopt AI strategies that enhance competitive advantage while advancing sustainability in a dynamic digital landscape.<\/span><\/span>\n<\/p>\n<h4>\n<span style=\"font-family:georgia,serif;\"><span style=\"font-size:12px;\"><strong>Keywords<\/strong><\/span><\/span><br \/>\n<\/h4>\n<p style=\"text-align: justify;\">\n<span style=\"font-family:georgia,serif;\"><span style=\"font-size:12px;\"><meta name=\"citation_Keywords\" content=\"AI, consumer experience, online marketing, e-commerce, sustainability.\"\/>AI, consumer experience, online marketing, e-commerce, sustainability.<\/span><\/span>\n<\/p>\n<h4>\n<span style=\"font-family:georgia,serif;\"><span style=\"font-size:12px;\"><strong>Full Text: <meta name=\"citation_pdf_url\" content=\"https:\/\/www.etimm.ase.ro\/RePEc\/aes\/jetimm\/2025\/JETIMM_V01_2025_117.pdf\"\/><a href=\"https:\/\/www.etimm.ase.ro\/RePEc\/aes\/jetimm\/2025\/JETIMM_V01_2025_117.pdf\" target=\"_blank\"><span style=\"color: rgb(0, 0, 205);\">download pdf<\/span><\/a><\/strong><\/span><\/span><br \/>\n<\/h4>\n<p>\n<span style=\"font-family:georgia,serif;\"><span style=\"font-size:12px;\"><strong>Cite: <a href=\"https:\/\/www.etimm.ase.ro\/RePEc\/aes\/jetimm\/2025\/JETIMM_V01_2025_117.ris\" target=\"_blank\"><span style=\"color: rgb(255, 0, 0);\">download citation<\/span><\/a> (for EndNote, Reference Manager, ProCite)<\/strong><\/span><\/span>\n<\/p>\n<p>\n&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Title Leveraging AI for Enhancing Sustainable Marketing and Consumer Experience in E-Commerce Author(s) Kamran ALLAHVERDIYEV Classification JEL M31, O33. Abstract This study examines how Artificial Intelligence (AI) can drive sustainable marketing efforts and improve consumer experience within e-commerce, responding to the growing demand for responsible, data-driven engagement. The research explores &hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_ef_editorial_meta_date_first-draft-date":"","_ef_editorial_meta_paragraph_assignment":"","_ef_editorial_meta_checkbox_needs-photo":"","_ef_editorial_meta_number_word-count":"","footnotes":""},"categories":[32],"tags":[],"coauthors":[18],"class_list":["post-1099","post","type-post","status-publish","format-standard","hentry","category-jetimm_2025"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.etimm.ase.ro\/index.php?rest_route=\/wp\/v2\/posts\/1099","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.etimm.ase.ro\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.etimm.ase.ro\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.etimm.ase.ro\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.etimm.ase.ro\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1099"}],"version-history":[{"count":1,"href":"https:\/\/www.etimm.ase.ro\/index.php?rest_route=\/wp\/v2\/posts\/1099\/revisions"}],"predecessor-version":[{"id":1100,"href":"https:\/\/www.etimm.ase.ro\/index.php?rest_route=\/wp\/v2\/posts\/1099\/revisions\/1100"}],"wp:attachment":[{"href":"https:\/\/www.etimm.ase.ro\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1099"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.etimm.ase.ro\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1099"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.etimm.ase.ro\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1099"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.etimm.ase.ro\/index.php?rest_route=%2Fwp%2Fv2%2Fcoauthors&post=1099"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}