Have a personal or library account? Click to login

The Impact of AI along the Customer Journey Mapping: How AI Agents are Changing Customer Journey

Open Access
|Jul 2025

References

  1. Amorim, F. A. D. (2018). Optimizing customer response to direct marketing initiatives (Master’s thesis, Universidade do Porto (Portugal)).
  2. Bornet, P., Barkin, I., & Wirtz, J. (2021). Intelligent automation: Welcome to the world of hyperautomation: Learn how to harness artificial intelligence to boost business & make our world more human. 10.1142/12239.
  3. Calvo, A.V., Franco, A.D., & Frasquet, M. (2023). The role of artificial intelligence in improving the omnichannel customer experience, International Journal of Retail & Distribution Management, 51 (9/10), 1174-1194.
  4. Chan, A., Salganik, R., Markelius, A., Pang, C., Rajkumar, N., Krasheninnikov, D., Langosco, L., He, Z., Duan, Y., Carroll, M., Mayhew, A., Collins, K., Molamohammadi, M., Burden, J., Zhao, W., Rismani, S., Voudouris, K., Bhatt, U., & Maharaj, T. (2023). Harms from Increasingly Agentic Algorithmic Systems. 651-666. 10.1145/3593013.3594033.
  5. Chauhan, P., Mahajan, A., & Lohare, D. (2017). Role of Big Data in retail customer-centric marketing. National Journal of Multidisciplinary Research and Development, 2(3), 484-488.
  6. Chen, H., Chan-Olmsted, S., Kim, J., & Mayor Sanabria, I. (2022). Consumers’ perception on artificial intelligence applications in marketing communication. Qualitative Market Research, 25(1), 125–142.
  7. Cloarec, J. (2022). Privacy controls as an information source to reduce data poisoning in artificial intelligence-powered personalization. Journal of Business Research, 152, 144–153.
  8. Court, D., Elzinga, D., Mulder, S. & Vetvik, O. J. (2009). The consumer decision journey. Retrieved from https://www.mckinsey.com/business-functions/marketing-and-sales/our-insights/the-consumer-decision-journey.
  9. Csoré Suhonen, C., & Hjelm, T. (2021). Consumer perception of machine-generated advertisement (Dissertation). Retrieved from https://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-26873.
  10. Culotta, A., & Cutler, J. (2016). Mining brand perceptions from twitter social networks. Marketing science, 35(3), 343-362.
  11. Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2019). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48, 1-19.
  12. Davenport, T., Guha, A., Grewal, D. (2020). How artificial intelligence will change the future of marketing. J. of the Acad. Mark. Sci. 48, 24–42.
  13. De Keyser, A., Lemon, K. N., Klaus, P., & Keiningham, T. L. (2015). A framework for understanding and managing the customer experience. Marketing Science Institute working paper series, 85(1), 15-121.
  14. Dhiman, B., (2023). Key Issues and New Challenges in New Media Technology in 2023: A Critical Review. Journal of Media & Management, 5(1), 1-4.
  15. Dhiman, N., Jamwal, M., & Kumar, A. (2023). Enhancing value in customer journey by considering the (ad)option of artificial intelligence tools. Journal of Business Research. 167.
  16. Durante, Z., Sarkar, B., Gong, R., Taori, R., Noda, Y., Tang, P., & Huang, Q. (2024). An interactive agent foundation model. arXiv preprint arXiv:2402.05929.
  17. Erevelles, S., Fukawa, N., & Swayne, L. (2016). Big data consumer analytics and the transformation of marketing, Journal of Business Research, 69(2), 897-904.
  18. Feng, C., Park, A., Pitt, L., Kietzmann, J., & Northey, G. (2020). Artificial Intelligence in Marketing: A Bibliographic Perspective. Australasian Marketing Journal, 29(3), 252-263.
  19. Gartner (2019). Report Predicts 2019: Leadership Means Expanding Options, Not Limiting Them. Report. Hair Jr., J.F., Hult, G.T.M., Rongle, C.M., S.
  20. Gentile, C., Spiller, N., & Noci, G.(2007). How to Sustain the Customer Experience: An Overview of Experience Components that Co-create Value With the Customer, European Management Journal, 25 (5), 395-410.
  21. Gomes, P., Verçosa, L., Melo, F., Silva, V., Filho, C. B., & Bezerra, B. (2022). Artificial Intelligence-Based Methods for Business Processes: A Systematic Literature Review. Applied Sciences, 12(5), 2314.
  22. Grewal, D., Satornino, C. B., Davenport, T., & Guha, A. (2024). How generative AI Is shaping the future of marketing. Journal of the Academy of Marketing Science, 1-21.
  23. Groumpos, P. P. (2023). A Critical Historic Overview of Artificial Intelligence: Issues, Challenges, Opportunities, and Threats. Artificial Intelligence and Applications, 1(4), 181-197.
  24. Gur, I, Furuta, H., Huang, A., Safdari, M., Matsuo, Y., Eck, D., & Faust, A. (2023). A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis. 10.48550/arXiv.2307.12856.
  25. Heikkilä, M. (2024). What Are AI Agents? MIT TECH. REV. Retrieved from https://www.technologyreview.com/2024/07/05/1094711/what-are-ai-agents/.
  26. Hilken, T., De Ruyter, K., Chylinski, M., Mahr, D., & Keeling, D. I. (2017). Augmenting the eye of the beholder: exploring the strategic potential of augmented reality to enhance online service experiences. Journal of the Academy of Marketing Science, 45, 884-905.
  27. Hofacker, C. F., Malthouse, E. C., & Sultan, F. (2016). Big data and consumer behavior: Imminent opportunities. Journal of consumer marketing, 33(2), 89-97.
  28. Hoffman, D. L., & Novak, T. P. (2018). Consumer and object experience in the internet of things: An assemblage theory approach. Journal of Consumer Research, 44(6), 1178-1204.
  29. Hollebeek, L. D., Menidjel, C., Sarstedt, M., Jansson, J., & Urbonavicius, S. (2024). Engaging consumers through artificially intelligent technologies: Systematic review, conceptual model, and further research. Psychology & Marketing, 41, 880–898.
  30. Hoyer, W., Kroschke, M., Schmitt, B., Kraume, K., & Shankar, V. (2020). Transforming the Customer Experience Through New Technologies. Journal of Interactive Marketing, 51 (1), 57–71.
  31. Huang, M.-H., Rust, R., & Maksimovic, V. (2019). The Feeling Economy: Managing in the Next Generation of Artificial Intelligence (AI). California Management Review, 61(4), 43-65.
  32. Jain, P., & Aggarwal, K. (2020). Transforming marketing with artificial intelligence. International Research Journal of Engineering and Technology, 7(7), 3964-3976.
  33. Jarek, K., & Mazurek, G. (2019). Marketing and artificial intelligence. Central European Business Review, 8(2), 46-55.
  34. Jennings, N. R., Sycara, K., & Wooldridge, M. (1998). A roadmap of agent research and development. Autonomous agents and multi-agent systems, 1, 7-38.
  35. Kietzmann, J., Paschen, J., & Treen, E. (2018). Artificial Intelligence in Advertising: How Marketers Can Leverage Artificial Intelligence Along the Consumer Journey. Journal of Advertising Research, 58(3), 263–267.
  36. Kotler, P., Kartajaya, H., Setiawan, I. (2021). Marketing 5.0: Technology for Humanity. Coimbra: Almedina.
  37. Kumar, V., Rajan, B., Venkatesan, R., & Lecinski, J. (2019). Understanding the role of artificial intelligence in personalized engagement marketing. California Management Review, 61(4), 135–155.
  38. Kühl, N., Mühlthaler, M., & Goutier, M. (2020). Supporting customer-oriented marketing with artificial intelligence: automatically quantifying customer needs from social media. Electronic Markets, 30(2), 351-367.
  39. Lemon, K. N., & Verhoef, P. C. (2016). Understanding Customer Experience Throughout the Customer Journey. Journal of Marketing, 80(6), 69-96.
  40. Longoni, C., Bonezzi, A., & Morewedge, C. K. (2019). Resistance to Medical Artificial Intelligence. Journal of Consumer Research, 46(4), 629–650.
  41. Longoni, C., & Cian, L. (2022). Artificial Intelligence in Utilitarian vs. Hedonic Contexts: The “Word-of-Machine” Effect. Journal of Marketing, 86(1), 91-108.
  42. Maechler, N., Neher, K., & Park, R. (2016). From touchpoints to journeys. Retrieved from http://dln.jaipuria.ac.in:8080/jspui/bitstream/123456789/14243/1/From_touchpoints_to_journeys_seeing_the_world_as_customers_do.pdf.
  43. Marine-Roig, E., & Clavé, S. A. (2015). Tourism analytics with massive user-generated content: A case study of Barcelona. Journal of destination marketing & management, 4(3), 162-172.
  44. McKinsey & Company. (2024). What is AI (artificial intelligence)? Retrieved from https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-ai.
  45. Microsoft Annual Report (2019). Retrieved from https://www.microsoft.com/investor/reports/ar19/index.html#.home.
  46. Mintz, Y., & Brodie, R. (2019). Introduction to artificial intelligence in medicine. Minimally Invasive Therapy & Allied Technologies, 28(2), 73–81.
  47. Moura, S., & Reis, J. L. (2021). The Artificial Intelligence in the Personalisation of the Customer Journey-a literature review Journey. Retrieved from https://aisel.aisnet.org/capsi2021/28.
  48. Mussa, M. (2020). The impact of Artificial Intelligence on Consumer Behaviors An Applied Study on the Online Retailing Sector in Egypt. 50(4), 293-318.
  49. Mukherjee, A., & Chang, H. (2024). AI Knowledge and Reasoning: Emulating Expert Creativity in Scientific Research. Retrieved from https://ssrn.com/abstract=4738442.
  50. Overgoor, G., Chica, M., Rand, W., & Weishampel, A. (2019). Letting the computers take over: Using AI to solve marketing problems. California Management Review, 61(4), 156-185.
  51. Pallathadka, H., Ramirez Asís, E., Loli-Poma, T., Kaliyaperumal, K., Ventayen, R. J., & Naved, M. (2023). Applications of artificial intelligence in business management, e- commerce and finance. Materials Today: Proceedings, 80 (6), 2610-2613.
  52. Puntoni, S., Reczek, R. W., Giesler, M., & Botti, S. (2021). Consumers and Artificial Intelligence: An Experiential Perspective. Journal of Marketing, 85(1), 131–151.
  53. Ribeiro, J. (2021). AI in 2020: A year writing about artificial intelligence. Jair Ribeiro.
  54. Rodgers, W., & Nguyen, T. (2022). Advertising Benefits from Ethical Artificial Intelligence Algorithmic Purchase Decision Pathways. Journal of Business Ethics, 178(4), 1043–1061.
  55. Russell, S., Norvig, P. (2020). Artificial Intelligence: A Modern Approach, 4th ed. Pearson.
  56. Sabharwal, A. S. Russell, P. Norvig (2011). Artificial Intelligence: A Modern Approach, Third Edition.
  57. Shah, D., Osiński, B., & Levine, S. (2023). Lm-nav: Robotic navigation with large pre-trained models of language, vision, and action. In Conference on robot learning, 492-504.
  58. Shankar, V. (2018). How Artificial Intelligence (AI) is Reshaping Retailing. Journal of Retailing, 94 (4), vi-xi.
  59. Siau, K. (2017). Impact of artificial intelligence, robotics, and automation on higher education. AMCIS, 10-12.
  60. Soni, N., Sharma, E., Singh, N. & Kapoor, A. (2020). Artificial Intelligence in Business: From Research and Innovation to Market Deployment, Procedia Computer Science, 167, 2200-2210.
  61. Stone, P., & Veloso, M. (2000). Multiagent systems: A survey from a machine learning perspective. Autonomous Robots, 8, 345-383.
  62. Suleyman, M. (2023). My New Turing Test Would See If AI Can Make $1 Million, MIT Technology Review. Retrieved from https://www.technologyreview.com/2023/07/14/1076296/mustafa-suleyman-my-new-turing-test-would-see-if-ai-can-make-1-million/.
  63. Tehrani, Z. (2023). Bibliographic Research: Generative AI in Marketing.
  64. Thiraviyam, T. (2018). Artificial intelligence marketing, International Journal of Recent Research Aspects, Special Issue: Conscientious Computing Technologies, 449-452.
  65. Tordjman, K., MacDonald, D., Gerrard, P., Derow, R., Scott, B., Poria, K., Bell, R., & Irwin, M. (2025). How AI Agents Are Opening the Golden Era of Customer Experience, BCG.
  66. Trusov, M., Ma, L., & Jamal, Z. (2016). Crumbs of the cookie: User profiling in customer-base analysis and behavioral targeting. Marketing Science, 35(3), 405-426.
  67. Wang, H., Hao, L., Sharma, A., & Kukkar, A.(2022). Automatic control of computer application data processing system based on artificial intelligence, Journal of Intelligent Systems, 31 (1), 177-192.
  68. Wang, H., Fu, T., Du, Y., Gao, W., Huang, K., Liu, Z., & Zitnik, M. (2023). Scientific discovery in the age of artificial intelligence. Nature, 620(7972), 47-60.
  69. Wooldridge, M., & Jennings, N. R. (1995). Intelligent agents: Theory and practice. The knowledge engineering review, 10(2), 115-152.
  70. Xu, H., Luo, X., Carroll, J. M., & Rosson, M. B. (2011). The personalization privacy paradox: An exploratory study of decision making process for location-aware marketing. Decision Support Systems, 51(1), 42–52.
  71. Zhu, Y. Q., & Chang, J. H. (2016). The key role of relevance in personalized advertisement: Examining its impact on perceptions of privacy invasion, self-awareness, and continuous use intentions. Computers in Human Behavior, 65, 442–447.
Language: English
Page range: 1088 - 1102
Published on: Jul 24, 2025
Published by: Bucharest University of Economic Studies
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year

© 2025 Steliana Vasileva, published by Bucharest University of Economic Studies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.