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AI Case Study Analysis
Date
April 2024
Link
Project type
Case Study Analysis
Role
Sole Writer, Editor
Course
MKTG 351
This case study delves into the integration of artificial intelligence (AI) in retail marketing, exploring its potential benefits, ethical implications, and impact on consumer behavior. The analysis addresses key aspects of AI's role in shaping marketing strategies, targeting specific demographics, and influencing the decision-making process of consumers.
Highlights of the Case Study:
Target Market Analysis: Identified males aged 38-72 as a key demographic due to their strong support for AI development. Emphasized the role of diversity, education, and income in targeting technologically progressive and affluent consumer groups.
Ethical Concerns: Explored issues such as job displacement, data privacy, and transparency regarding AI algorithms, highlighting potential challenges for businesses and consumers.
Consumer Decision Process: Analyzed how AI customization affects the consumer decision process by tailoring search results to individual preferences. Weighed the pros and cons of AI-driven recommendations, noting the potential for both enhanced personalization and the risk of limiting organic discoveries.
The paper provides a nuanced perspective on leveraging AI for competitive advantage while addressing its limitations and ethical considerations. It serves as a thoughtful reflection on the evolving landscape of AI in retail and consumer interactions.