Proceedings of the 2nd International Conference on Sustainable Business Practices and Innovative Models (ICSBPIM-2025)

<Previous Article In Volume
Next Article In Volume>

“AI-Driven Customer Journey Mapping: Enhancing Consumer Experience through Predictive Analytics”

Authors
V. N. Bajpai1, Ashish Kumar Jha1, Astha Shukla2, *
1Institute of Technology and Science, Ghaziabad, India
2Research Scholar, CSJM University, Kanpur, India
*Corresponding author. Email: asthashukladams@gmail.com
Corresponding Author
Astha Shukla
Available Online 4 November 2025.
DOI
10.2991/978-94-6463-872-1_65How to use a DOI?
Keywords
AI; Customer Journey Mapping; Predictive Analytics; Consumer Experience; Personalization; Behavioural Data
Abstract

This research paper explores the transformative role of Artificial Intelligence (AI) and predictive analytics in customer journey mapping (CJM), focusing on how AI tools help organizations understand, anticipate, and respond to consumer behavior across various touchpoints[13]. Through a combination of quantitative and qualitative research methods, the study investigates the effectiveness of AI-driven CJM in enhancing consumer satisfaction, loyalty, and personalized engagement. Hypotheses were tested using statistical tools like regression analysis, t-tests, and chi-square tests. Findings reveal significant positive relationships between AI-enabled predictive analytics and consumer satisfaction, particularly through personalized interactions and predictive insights. Visualizations support key data points, and the paper concludes with actionable recommendations for businesses seeking to adopt AI-driven CJM.[2].

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2nd International Conference on Sustainable Business Practices and Innovative Models (ICSBPIM-2025)
Series
Advances in Economics, Business and Management Research
Publication Date
4 November 2025
ISBN
978-94-6463-872-1
ISSN
2352-5428
DOI
10.2991/978-94-6463-872-1_65How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - V. N. Bajpai
AU  - Ashish Kumar Jha
AU  - Astha Shukla
PY  - 2025
DA  - 2025/11/04
TI  - “AI-Driven Customer Journey Mapping: Enhancing Consumer Experience through Predictive Analytics”
BT  - Proceedings of the 2nd International Conference on Sustainable Business Practices and Innovative Models (ICSBPIM-2025)
PB  - Atlantis Press
SP  - 1061
EP  - 1072
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-872-1_65
DO  - 10.2991/978-94-6463-872-1_65
ID  - Bajpai2025
ER  -