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Pair people and AI for better product demand forecasting : a new framework helps leaders orchestrate human and AI agents to accurately forecast product demand
Author
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 / Devadrita Nair, Maria Jesus Saenz.
Edition
[First edition].
Publication
[Cambridge, Massachusetts] : MIT Sloan Management Review, 2024.
Physical Description
1 online resource (7 pages) : illustrations
Local Notes
Access is available to the Yale community.
Notes
Reprint #65315.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Pair people and artificial intelligence for better product demand forecasting
O'Reilly Safari. OCLC KB.
Format
Books / Online
Language
English
Added to Catalog
April 02, 2024
Bibliography
Includes bibliographical references.
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