A data-driven approach to optimizing smartphone assortment and stock levels in omnichannel electronics retail
Hernandez, Angela Jane (A.A. 2023/2024) A data-driven approach to optimizing smartphone assortment and stock levels in omnichannel electronics retail. Tesi di Laurea in International operations and global supply chain, Luiss Guido Carli, relatore Lorenza Morandini, pp. 49. [Master's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
Consumer electronics and smartphone landscape. Global trends in consumer electronics. The consumer electronics market in Italy. Smartphone industry trends: product launch cycles and obsolescence. Literature review. Assortment planning and inventory optimization in omnichannel retail. Consumer behavior and demand forecasting in electronics retail. Clustering and ABC analysis for inventory optimization. Substitution and pricing effects on consumer choices. Methodology. Data sources. Data cleaning and preprocessing. Graph-based clustering. ABC classification for inventory prioritization. Statistical analysis of clustering outcomes. Results and discussion. Cluster formation and insights. Price segmentation across clusters. Technical specifications per cluster. ABC category composition per cluster. Interpretation and key takeaways. Managing product substitution and cannibalization in retail assortment planning. Understanding product substitution in retail. Key findings from co-view clustering analysis. Implications for retailers: managing assortment and stock allocation. Strategic recommendations for supply chain and inventory management.
References
Bibliografia. pp. 44-46.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91) |
| Chair: | International operations and global supply chain |
| Thesis Supervisor: | Morandini, Lorenza |
| Thesis Co-Supervisor: | Coppa, Emilio |
| Academic Year: | 2023/2024 |
| Session: | Extraordinary |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 14 May 2025 10:31 |
| Last Modified: | 14 May 2025 10:31 |
| URI: | https://tesi.luiss.it/id/eprint/42093 |
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