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...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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[Cambridge, Massachusetts]
MIT Sloan Management Review
2024
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| Ausgabe: | [First edition]. |
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| spelling | Nair, Devadrita VerfasserIn aut Pair people and AI for better product demand forecasting a new framework helps leaders orchestrate human and AI agents to accurately forecast product demand Devadrita Nair, Maria Jesus Saenz [First edition]. [Cambridge, Massachusetts] MIT Sloan Management Review 2024 1 online resource (7 pages) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Reprint #65315. - Includes bibliographical references 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. Artificial intelligence Industrial applications Retail trade Marketing Intelligence artificielle ; Applications industrielles Commerce de détail marketing Saenz, Maria Jesus VerfasserIn aut TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/53863MIT65315/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
| spellingShingle | Nair, Devadrita Saenz, Maria Jesus Pair people and AI for better product demand forecasting a new framework helps leaders orchestrate human and AI agents to accurately forecast product demand Artificial intelligence Industrial applications Retail trade Marketing Intelligence artificielle ; Applications industrielles Commerce de détail marketing |
| title | Pair people and AI for better product demand forecasting a new framework helps leaders orchestrate human and AI agents to accurately forecast product demand |
| title_auth | Pair people and AI for better product demand forecasting a new framework helps leaders orchestrate human and AI agents to accurately forecast product demand |
| title_exact_search | Pair people and AI for better product demand forecasting a new framework helps leaders orchestrate human and AI agents to accurately forecast product demand |
| title_full | Pair people and AI for better product demand forecasting a new framework helps leaders orchestrate human and AI agents to accurately forecast product demand Devadrita Nair, Maria Jesus Saenz |
| title_fullStr | Pair people and AI for better product demand forecasting a new framework helps leaders orchestrate human and AI agents to accurately forecast product demand Devadrita Nair, Maria Jesus Saenz |
| title_full_unstemmed | Pair people and AI for better product demand forecasting a new framework helps leaders orchestrate human and AI agents to accurately forecast product demand Devadrita Nair, Maria Jesus Saenz |
| title_short | Pair people and AI for better product demand forecasting |
| title_sort | pair people and ai for better product demand forecasting a new framework helps leaders orchestrate human and ai agents to accurately forecast product demand |
| title_sub | a new framework helps leaders orchestrate human and AI agents to accurately forecast product demand |
| topic | Artificial intelligence Industrial applications Retail trade Marketing Intelligence artificielle ; Applications industrielles Commerce de détail marketing |
| topic_facet | Artificial intelligence Industrial applications Retail trade Marketing Intelligence artificielle ; Applications industrielles Commerce de détail marketing |
| url | https://learning.oreilly.com/library/view/-/53863MIT65315/?ar |
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