Leveraging Agentic AI for Hyper-Personalized Experiences: Empirical Evidence from Indian Retail Sector

International Journal of Emerging Research in Science, Engineering, and Management
Vol. 2, SI1 (2026), pp. 228–236
Proceedings of Selected Papers from the
National Conference on Emerging Trends in Commerce and Management
NCETCM-2K26
2026-03-30 to 2026-03-31
Vijayawada, Andhra Pradesh, India
Organized by Andhra Loyola College, Vijayawada, India
eISSN: 3107-9075

This work is licensed under a Creative Commons Attribution 4.0 International License .

Leveraging Agentic AI for Hyper-Personalized Experiences: Empirical Evidence from Indian Retail Sector

1T. Chaitanya Lakshmi, 2N.A. Francis Xavi, 1M.V. Madhavi

1Independent Researcher, Vijayawada, India
2Dean of Commerce and Business Administration, Department of Commerce, Andhra Loyola College, Vijayawada, India

Abstract

This study investigates the impact of agentic AI-driven hyper-personalization on customer retention in the Indian retail sector, particularly within organic retail markets in the Vijayawada-Guntur region. Using a descriptive-correlational research design, data were collected from 500 consumers through structured questionnaires and analyzed using ANOVA and regression techniques. The findings reveal that AI-enabled personalized recommendations and dynamic engagement strategies significantly improve customer loyalty, resulting in a 28% increase in retention levels. Regression analysis confirmed a strong positive relationship between personalization and customer retention (β = 0.42, p < 0.001), while ANOVA results indicated significant demographic differences, with millennials showing the highest responsiveness to AI-driven experiences. The study also highlights ethical concerns related to data privacy and algorithmic bias, emphasizing the need for transparent and responsible AI implementation. The research contributes to understanding the role of agentic AI in enhancing customer engagement and provides practical recommendations for sustainable AI adoption in emerging retail markets.

Keywords: AI Personalization, Customer Retention, E-Commerce India, Agentic AI, Organic Retail.

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DOI: 10.66710/ijersem.v2si1.29

Open Access • Peer Reviewed Article

References

  1. V. Arya, “When Reality Meets Intelligence: Integrating ARIx Attributes with Spatial Immersion, Self-Brand Connection, and Aesthetic Experience to Influence Retail Brand Equity,” Journal of Retailing and Consumer Services, vol. 90, p. 104693, Dec. 2025. https://doi.org/10.1016/j.jretconser.2025.104693
  2. P. Sinha and S. Mahato, “An Empirical Study Investigating the Implementation of the Marketing Excellence in Small Food Enterprises,” Journal of Small Business and Enterprise Development, vol. 33, no. 1, pp. 232–282, Dec. 2025. https://doi.org/10.1108/jsbed-12-2024-0651
  3. K.-B. Ooi et al., “Banking in the Metaverse: A New Frontier for Financial Institutions,” International Journal of Bank Marketing, vol. 41, no. 7, pp. 1829–1846, Sep. 2023. https://doi.org/10.1108/ijbm-03-2023-0168
  4. D. Noor Mohammadzadeh Maleki, S. Abbaskhani, A. Farhadi, and A. Zamanifar, “Artificial Intelligence Methods for Financial Market Prediction: A Systematic Review,” Computers & Electrical Engineering, vol. 134, p. 111110, Mar. 2026. https://doi.org/10.1016/j.compeleceng.2026.111110
  5. Md. A. Khan et al., “A Systematic Review of AI-Driven Business Models for Advancing Sustainable Development Goals,” Array, vol. 28, p. 100539, Oct. 2025. https://doi.org/10.1016/j.array.2025.100539
  6. S. K. Yadav, S. Singh, S. Singh, T. S. Vijay, S. Singh, and S. Singh, “Strategic Roadmapping for the Future of Retail Healthcare,” Journal of Retailing and Consumer Services, vol. 87, p. 104351, Jun. 2025. https://doi.org/10.1016/j.jretconser.2025.104351
  7. J. Siljeur, J. Quiel, D. K. Kanbach, and S. Kraus, “Ready. Set. AI: A Systematic Literature Review Exploring AI Antecedents in International Marketing,” International Marketing Review, vol. 43, no. 3, pp. 493–511, Dec. 2025. https://doi.org/10.1108/imr-10-2024-0420
  8. O. A. Shonubi, “Unwrapping Generative AI Paradigms for Product and Service Innovation Differentiation,” Journal of Strategy & Innovation, vol. 37, no. 1, p. 200562, Jan. 2026. https://doi.org/10.1016/j.jsinno.2025.200562
  9. V. Charles, N. P. Rana, and V. Jain, “Marketing with Anthropomorphised AI: Insights from Consumers,” Journal of Consumer Marketing, vol. 42, no. 4, pp. 410–415, May 2025. https://doi.org/10.1108/jcm-03-2025-7704
  10. S. Salih et al., “From Ideation to Execution: Unleashing the Power of Generative AI in Modern Digital Marketing and Customer Engagement - A Systematic Literature Review and Case Study,” Array, vol. 29, p. 100630, Dec. 2025. https://doi.org/10.1016/j.array.2025.100630
  11. S. Gopinathan, N. Prakash, and Gaddam Sravan Kumar, “Impact of AI Personalization on Customer Retention in E-Commerce,” International Journal of Emerging Research in Science Engineering and Management, vol. 2, no. si1, pp. 220–227, May 2026. https://doi.org/10.66710/ijersem.v2si1.28
  12. A. Verma, M. Verma, and A. Goswami, “Adoption of AI in CRM in the Retail Sector: A Perspective from Technology Acceptance Model,” in 2024 8th International Conference on Computing, Communication, Control and Automation (ICCUBEA), Pune, India, 2024, pp. 1–5. https://doi.org/10.1109/ICCUBEA61740.2024.10775068

This article is part of Volume 2, Special Issue 1 (May 2026)

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2026-05-18