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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM.GSTCOS086

A STUDY ON THE IMPACT OF AI-DRIVEN PERSONALIZATION IN B2B MARKETING STRATEGIES IN AMAZON.

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM.GSTCOS086

Volume:

10 |

7 |

Jul 2026

Pages:

1-8

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem.GSTCOS086

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MA

Mohammad Althaf

Master of Business Administration,

CMR Institute of Technology, Medchal, India

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Mentors

LBL

L. Bharani Lasya

Assistant Professor , Master of Business Administration,

CMR Institute of Technology, Medchal, India

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Abstract

Artificial Intelligence (AI) has transformed B2B marketing by enabling organizations to deliver personalized customer experiences through data analytics, machine learning, and predictive technologies. This study examines the impact of AI-driven personalization on Amazon’s B2B marketing strategies, focusing on customer engagement, lead generation, marketing performance, and client relationships. Using a descriptive and analytical research design, data were collected from marketing professionals, data analysts, and business owners through structured questionnaires. The findings reveal that AI tools such as chatbots, CRM automation, and predictive analytics significantly enhance marketing effectiveness, decision-making, and customer satisfaction. However, challenges including data privacy concerns, implementation costs, and skill gaps remain. The study concludes that AI-driven personalization is a key driver of competitive advantage and marketing success in Amazon’s B2B environment.

KEYWORDS

Artificial Intelligence (AI) AI-Driven Personalization B2B Marketing and Customer Experience.

Cite This Article

Mohammad Althaf, L. Bharani Lasya, "A STUDY ON THE IMPACT OF AI-DRIVEN PERSONALIZATION IN B2B MARKETING STRATEGIES IN AMAZON.," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 7, pp. 1-8, Jul 2026. https://doi.org/10.55041/ijsrem.GSTCOS086

Full Article/Conclusion

The study finishes by saying that using intelligence to make things personal is a big part of how companies like Amazon do business to business marketing now. The study found that artificial intelligence really helps get customers involved makes leads does well in marketing helps make decisions and gives a return on investment. Companies are starting to see how useful artificial intelligence tools like chatbots, automated customer relationship management and predictive analytics are in giving personalized experiences to business customers. The results also show that making things with artificial intelligence helps build strong relationships with clients and makes marketing work better overall. Even though there are still problems like keeping customer data private spending a lot of money to get started and not having the experts the good things about using artificial intelligence to make things personal are more important than these problems. The study also says that companies are going to spend money on artificial intelligence, which means they think it will be good for marketing in the future. So it seems clear that using intelligence to make things personal is a big part of making business to business marketing strategies better and helping companies, like Amazon compete with others.

References

§     Chatterjee, S., Rana, N. P., & Dwivedi, Y. K. (2023). Artificial intelligence and customer engagement in digital marketing. Journal of Business Research, 156, 113-128. §     Davenport, T. H., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24–42. §     Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., et al. (2024). Generative artificial intelligence in marketing: Applications and future directions. International Journal of Information Management, 76, 102789. §     Huang, M. H., & Rust, R. T. (2022). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 50(1), 30–50. §     Jarek, K., & Mazurek, G. (2019). Marketing and artificial intelligence. Central European Business Review, 8(2), 46–55. §     Kumar, V., Dixit, A., Javalgi, R., & Dass, M. (2021). Research framework for AI-enabled customer relationship management. Industrial Marketing Management, 95, 75–87. §     Payne, A., Frow, P., & Eggert, A. (2017). The customer value proposition and relationship marketing. Journal of Service Management, 28(1), 145–160. §     Rust, R. T., & Huang, M. H. (2014). The service revolution and future of marketing. Service Science, 6(3), 206–221.

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Publication Date

7/4/2026

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Review Rounds: 2

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