CRAFTING CONNECTIONS: GENERATIVE AI'S IMPACT ON POST-PURCHASE COMMUNICATION IN E-COMMERCE

Year 2025, Volume: 4 Issue: 1, 77 - 101, 29.03.2025

Mirismoil Usmonov

https://doi.org/10.62425/conicom.1620170

Abstract

As e-commerce continues to expand, the importance of enhancing customer experience through effective post-purchase communication becomes more critical. This research addresses a significant gap in current knowledge by exploring the impact of generative artificial intelligence (Gen AI) on post-purchase communications, a largely underexplored area with substantial implications for customer satisfaction and brand loyalty. The objective of this study is to evaluate how Gen AI tools effect customer post-purchase interactions and to identify best practices and likely pitfalls in their application.
Employing a qualitative analysis of 80 academic papers, this study utilizes Thematic Qualitative Data Analysis (TQDA) to categorize findings into key themes: Alignment with Expectations, Perceived Responsiveness, Emotional Resonance, and Customer Retention. The research revealed that Gen AI significantly enhances customer satisfaction by providing personalized and timely responses, which align with customer expectations. Moreover, AI-driven strategies are shown to improve customer retention by enhancing the overall emotional connections through consistent, quality interactions.
The implications of these findings are profound for e-commerce businesses. Implementing Gen AI can lead to better customer loyalty and a competitive advantage in e-commerce. Still, companies must address the challenges to maximize the benefits. And ensure the ethical use of AI and maintain a balance amid automated and human interactions. This research contributes to the broader understanding of AI's role in e-commerce and offers a foundation for more exploration into optimizing AI tools.

Keywords

AI, Gen AI, E-Commerce, Post-Purchase Communications

Thanks

There are many things that I am thankful, and one of them is you. Thank you for being available and supporting young researchers.

References

• Abrokwah-Larbi, K. (2023). The role of generative artificial intelligence in customer personalisation development in SMEs: a theoretical framework and research propositions. Industrial Artificial Intelligence, 1(11).
• Amazon. (n.d.). Amazon improves customer reviews with generative AI. Retrieved January 09, 2025, from https://www.aboutamazon.com/news/amazon-ai/amazon-improves-customer-reviews-with-generative-ai [Access Date: 01.01.2025].
• Algahtany, M. (2024). Investigating how generative AI-driven tools contribute to the improvement of CBE on an E-commerce platform: MIS perspective. Al-Zaytoonah University of Jordan Journal for Human and Social Studies. https://doi.org/10.5281/zenodo.3936412 [Access Date: 02.01.2025].
• Bhatt, M. Y. K. (2024). Impact of AI in E-commerce: A perception of consumers of Ahmedabad. International Education & Research Journal, 10(3). https://www.ierj.in/journal/index
• Botha, M. E. (1989). "Theory Development in Perspective: The Role of Conceptual Frameworks and Models in Theory Development". Journal of Advanced Nursing. 14 (1): 49–55.
• Blümela, J. H., Zaki, M., & Bohnée, T. (2024). Personal touch in digital customer service: A conceptual framework of relational personalization for conversational AI. Journal of Service Theory and Practice, 34(1), 33-65.
• Ding, Y., & Najaf, M. (2024). Interactivity, humanness, and trust: A psychological approach to AI chatbot adoption in e-commerce. BMC Psychology, 12(595).
• Ejimuda, C., & Ijomah, T. (2024). AI software for personalized marketing automation in SMEs: Enhancing customer experience and sales. World Journal of Advanced Research and Reviews, 23(1), 2159. https://doi.org/10.30574/wjarr.2024.23.1.2159
• eBay. (n.d.). eBay's responsible AI principles. Retrieved January 09, 2025, from https://innovation.ebayinc.com/tech/features/ebays-responsible-ai-principles/ [Access Date: 01.01.2025].
• Gokila, V. (2024). A study on the growth of E-commerce during Covid-19. SSRN.
• Khennouche, F., Elmir, Y., Djebari, N., Himeur, Y., & Amira, A. (2023). Revolutionizing customer interactions: Insights and challenges in deploying ChatGPT and generative chatbots for FAQs. arXiv preprint arXiv:2311.09976.
• Kubovics, M. (2024). Innovative content production in marketing communication through AI. Proceedings of the 19th European Conference on Innovation and Entrepreneurship, ECIE 2024.
• Lawrence, J., Rajendran, D., & Thamaraiselvan, N. (2024). Optimizing customer engagement online through AI advancements: An exploratory study. IPE Journal of Management, 14(15), 161 175.
• Muhammad, T., & Stukalina, Y. (2024). Real-time customer communication in e-commerce: Improving customer experience, satisfaction, and loyalty. In Proceedings of the 14th International Scientific Conference on Business and Management 2024 (pp. 73-83). Vilnius Gediminas Technical University.
• Mekkawi, M. H. (2024). The implications of AI in E-commerce. International Journal of Legal and Social Order, 4(1), 1-18.