The future of consumer goods: how generative AI are reshaping markets, customers and pricing strategies
Falcone, Marta (A.A. 2023/2024) The future of consumer goods: how generative AI are reshaping markets, customers and pricing strategies. Tesi di Laurea in Managerial economics, Luiss Guido Carli, relatore Andrea Filippetti, pp. 157. [Master's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
The crisis of the traditional model and the need for innovation. Methodology. Prisma methodology (RQ1). Strategic foresight analysis (RQ2). Breaking the mold: the end of "one-size-fits-all. Consumer goods industry: the rise of consumer empowerment. Technology shift and consumers’ roles evolution. Unveiling the path: chapter insights. The long tail effect: unlocking the power of niche markets. Chris Anderson’s theory: why niche markets matter. From mass to niche market. Economic and cultural impact analysis. Nowadays considerations. Unveiling the path: chapter insights. Generative AI: the bridge to the “one-size-fits-one” revolution. The evolution of AI: from reactive to proactive. Industry transformation and the impact of AI. Strategic business considerations and industry outlook. Agentic AI: the latest example of GenAI realm. Anthropomorphism in human-machine interaction. Expanding the discussion. Towards a hyper-personalized market model. The evolution of pricing strategies in the era of AI. AI-driven price discrimination: from static to personalization. AI-driven dynamic pricing: personalization and market adaptability. From theory to practice: AI-powered pricing in consumer goods.
References
Bibliografia: pp. 143-157.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree program in Global Management and Politics, English language (LM-77) |
| Chair: | Managerial economics |
| Thesis Supervisor: | Filippetti, Andrea |
| Thesis Co-Supervisor: | Pellegrino, Gianfranco |
| Academic Year: | 2023/2024 |
| Session: | Extraordinary |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 15 Jul 2025 12:56 |
| Last Modified: | 15 Jul 2025 12:56 |
| URI: | https://tesi.luiss.it/id/eprint/42927 |
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