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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Nair, Devadrita (VerfasserIn), Saenz, Maria Jesus (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	[Cambridge, Massachusetts] MIT Sloan Management Review 2024
Ausgabe:	[First edition].
Schlagworte:	Artificial intelligence > Industrial applications Retail trade Marketing Intelligence artificielle ; Applications industrielles Commerce de détail marketing
Online-Zugang:	lizenzpflichtig
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