AI-Driven Marketing Personalization
Year: 2025
Type: article
Abstract: : The essence of the paper is a reflection on the necessity to integrate Artificial Intelligence (AI) in marketing with regards to personalization strategies. It is based on the modern literature from the year 2020-2025 and examines the potential of using AI to increase personalization and achieve the following results in marketing: enhanced consumer connection, organizational performance, and focus with stakeholder and sustainability objectives. The studies rely on some of the most significant theoretical constructs which include the Marketing Mix, the Stakeholder Theory, the Triple bottom-line and the Hunt Vitell Theory of Marketing Ethics to examine the ethical and positive impacts of AI personalization gadgets. Real-life case studies of companies, such as Netflix, H&M, Amazon, or Meta, were utilized in the discussion as an opportunity to identify the opportunities of AI, and the significant threats of AI regarding data privacy, biased algorithms, or manipulation of the consumer. The report presents recommendations, which are, and which require the emphasis on fairness, transparency, and ethical innovation. These include the implementation of effective AI, condolence logs on fairness, and advancing commercial analytics experiential attempts. The research indicates that organizations must strike a balance between the current rise in the technological world and irresponsible, humanistic approaches to marketing.
Authors: Dr Janemary Thirusanku, Kamlesh Rao Thillai Raman
Institution: Peninsula College Shah Alam
Language: English
Topic: AI in Service Interactions
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7105686792
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