Customer Satisfaction Analysis Utilizing Recent Artificial Intelligence Technology Platforms in E-commerce

Authors

  • Harsimran Kaur, Dr. Charul Verma

DOI:

https://doi.org/10.64882/ijrt.v14.iS1.1116

Keywords:

Marketing, technology, AI, data analysis, customer satisfaction, e-commerce

Abstract

Artificial intelligence (AI) enhances customer-cantered markets by improving interaction with online retailing through the automation of shopping activities. Artificial intelligence (AI) has played a crucial role in enhancing the retail industry. In this paper, we have combined the various benefits that customers have perceived during their shopping experience with AI-enabled online retailers. Different companies are being selected and analysed for how they formulate their strategies to satisfy their customers.

References

Ali, S. V. A. M., Sharma, M., KK, R., Sidhu, K., & Gupta, S. (2022). Exploring the Impact of Digital Transformation on Business Operations and Customer Experience. Constitutional Court Review, 12(1), 10-2989.

Asif, S., Pal, R., Dubey, V., Kumari, P., & Shrivastava, S. (2024). Internet of Things (IoT) Integration with 5G and 6G Wireless Technologies. In Advanced IoT Technologies and Applications in the Industry 4.0 Digital Economy (pp. 309-327). CRC Press.

Bharadiya, J. P., Thomas, R. K., & Ahmed, F. (2023). Rise of artificial intelligence in business and industry. Journal of Engineering Research and Reports, 25(3), 85-103.

Brill, T. M., Munoz, L., & Miller, R. J. (2022). Siri, Alexa, and other digital assistants: a study of customer satisfaction with artificial intelligence applications. In The role of smart technologies in decision making (pp. 35-70). Routledge.

Dubey, V., Kumari, P., Patel, K., Singh, S., & Shrivastava, S. (2024). Amalgamation of Optimization Algorithms With IoT Applications. In Sustainable Development in Industry and Society 5.0: Governance, Management, and Financial Implications (pp. 176-204). IGI Global Scientific Publishing.

Dubey, V., Singh, S., Kumari, P., Patel, K., Jahan, T., & Dubey, S. (2026). AI-Driven Business Systems: Pioneering Innovation and Transformation. In Integrating AI and Machine Learning into Business and Management Education (pp. 297-332). IGI Global Scientific Publishing.

Gochhait, S., Mazumdar, O., Chahal, S., Kanwat, P., Gupta, S., Sharma, R., ... & Sachan, R. (2020, May). Role of artificial intelligence (AI) in understanding the behavior pattern: a study on e-commerce. In ICDSMLA 2019: Proceedings of the 1st International Conference on Data Science, Machine Learning and Applications (pp. 1600-1606). Singapore: Springer Singapore.

Kim, R. Y. (2021). Using online reviews for customer sentiment analysis. IEEE Engineering Management Review, 49(4), 162-168.

Kothapalli, K. R. V. (2022). Exploring the Impact of Digital Transformation on Business Operations and Customer Experience. Global Disclosure of Economics and Business, 11(2), 103-114.

Kumari, P., Dubey, V., Jain, M., & Mishra, G. R. (2022, July). Machine learning-based model for predicting failure of physical machines in cloud computing. In International Conference on Flexible Electronics for Electric Vehicles (pp. 413-422). Singapore: Springer Nature Singapore.

Lari, H. A., Vaishnava, K., & Manu, K. S. (2022). Artifical intelligence in E-commerce: Applications, implications and challenges. Asian Journal of Management, 13(3), 235-244.

Menidjel, C., Hollebeek, L. D., Leppiman, A., & Riivits-Arkonsuo, I. (2022). Role of AI in enhancing customer engagement, loyalty and loyalty programme performance. In Handbook of Research on Customer Loyalty (pp. 316-331). Edward Elgar Publishing.

Patel, A., Oza, P., & Agrawal, S. (2023). Sentiment analysis of customer feedback and reviews for airline services using language representation model. Procedia Computer Science, 218, 2459-2467.

Patel, A., Oza, P., & Agrawal, S. (2023). Sentiment analysis of customer feedback and reviews for airline services using language representation model. Procedia Computer Science, 218, 2459-2467.

Patel, K., Kumari, P., & Dubey, V. (2024). Smart Education: The Impact of IoT on Learning Environments. International Journal of Innovations in Science, Engineering And Management, 223-227.

Qing, W., Amin, M. B., Gazi, M. A. I., Khan, W., Al Masud, A., & Alam, M. N. (2023). Mediation effect of technology adaptation capabilities between the relationship of service quality attributes and customer satisfaction: an investigation on young customers perceptions toward e-commerce in China. Ieee Access, 11, 123904-123923.

Rane, N. (2023). Enhancing customer loyalty through Artificial Intelligence (AI), Internet of Things (IoT), and Big Data technologies: improving customer satisfaction, engagement, relationship, and experience. Internet of Things (IoT), and Big Data Technologies: Improving Customer Satisfaction, Engagement, Relationship, and Experience (October 13, 2023).

Sardjono, W., Martasari, G. W., & Gui, A. (2023). Impact of Industrial Technology 4.0 in Improving Service Quality and Customer Experience on E-Commerce Platforms. In E3S Web of Conferences (Vol. 426, p. 01007). EDP Sciences.

Wu, Q., Xia, C., & Tian, S. (2025). AI-Driven Sentiment Analytics: Unlocking Business Value in the E-Commerce Landscape_v1. arXiv preprint arXiv:2504.08738.

Zhang, J., Chen, Q., Lu, J., Wang, X., Liu, L., & Feng, Y. (2024). Emotional expression by artificial intelligence chatbots to improve customer satisfaction: Underlying mechanism and boundary conditions. Tourism Management, 100, 104835.

Downloads

How to Cite

Harsimran Kaur, Dr. Charul Verma. (2026). Customer Satisfaction Analysis Utilizing Recent Artificial Intelligence Technology Platforms in E-commerce. International Journal of Research & Technology, 14(S1), 794–806. https://doi.org/10.64882/ijrt.v14.iS1.1116

Similar Articles

<< < 24 25 26 27 28 29 30 31 32 33 > >> 

You may also start an advanced similarity search for this article.