Year: 2026
Type: preprint
Abstract: Artificial Intelligence (AI) is transforming marketing management through data driven decision making and personalized customer experiences. This paper examines AI driven personalization and its role in strengthening customer engagement. It discusses key technologies, including machine learning, natural language processing, predictive analytics, recommendation engines, and computer vision. The paper explores personalization techniques such as collaborative filtering, content based filtering, behavioral targeting, and dynamic pricing. Corporate applications by Amazon, Netflix, Starbucks, Sephora, and Spotify illustrate practical implementations. The discussion highlights benefits such as improved targeting accuracy, cost efficiency, real time decision making, customer satisfaction, and brand loyalty. It also examines AI adoption within India's diverse digital marketplace. However, data privacy, algorithmic bias, excessive personalization, and reduced human interaction present significant challenges. Transparent consent, responsible data practices, fairness audits, and human oversight remain essential. Emerging developments include generative AI, conversational systems, predictive personalisation, autonomous marketing agents, and privacy focused technologies. The paper emphasizes strategic integration and ethical governance. Ultimately, AI should complement human marketing judgment while enabling meaningful customer relationships, sustainable competitive advantage, and improved organizational performance.
Author: Mohammad Shaquib
Institution: University of Lucknow
Language: English
Topic: AI in Service Interactions
Subfield: Marketing
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7225635352