Pair people and AI for better product demand forecasting a new framework helps leaders orchestrate human and AI agents to accurately forecast product demand
Today’s fad-driven retail environment is volatile, making it challenging for companies to accurately predict product demand. The authors provide a framework that considers both product life cycle and demand volatility that can help organizations fine-tune their product demand forecasting, with human...
| Otros Autores: | , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
[Cambridge, Massachusetts] :
MIT Sloan Management Review
2024.
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| Edición: | [First edition] |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009825889406719 |
| Sumario: | Today’s fad-driven retail environment is volatile, making it challenging for companies to accurately predict product demand. The authors provide a framework that considers both product life cycle and demand volatility that can help organizations fine-tune their product demand forecasting, with human and AI agents working in concert. |
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| Notas: | Reprint #65315. |
| Descripción Física: | 1 online resource (7 pages) : illustrations |
