Leveraging AI for pricing: a literature review and an FMCG case study
Nardi, Ludovica (A.A. 2024/2025) Leveraging AI for pricing: a literature review and an FMCG case study. Tesi di Laurea in Business and marketing analytics, Luiss Guido Carli, relatore Andrea De Mauro, pp. 134. [Master's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
Theoretical background. Strategic pricing and behavioural economics. Artificial intelligence in business applications. Methodology. Literature review. Design of the taxonomy using Structural content analysis (SCA). Bibliometric and meta-analysis findings. Country and temporal distribution of studies. Taxonomy of AI use cases in pricing. Validation in the FMCG sector. Framing the organisational case. Validation method: questionnaire design and likert scoring. Results of interviews across business areas. Gap analysis: comparing theory and practice.
References
Bibliografia: pp. 124-134.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Marketing (LM-77) |
| Chair: | Business and marketing analytics |
| Thesis Supervisor: | De Mauro, Andrea |
| Thesis Co-Supervisor: | Salate Santone, Francesco |
| Academic Year: | 2024/2025 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 28 May 2026 12:51 |
| Last Modified: | 28 May 2026 12:51 |
| URI: | https://tesi.luiss.it/id/eprint/45965 |
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