Cover Image
Read Now

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...

Full description

Bibliographic Details
Main Authors: Nair, Devadrita, Saenz, Maria Jesus (Author)
Format: eBook
Language:English
Published: [Cambridge, Massachusetts] MIT Sloan Management Review 2024
Edition:[First edition]
Subjects:
Marketing
Artificial Intelligence / Industrial Applications
Commerce De Détail
Marketing / Aat
Intelligence Artificielle / Applications Industrielles
Marketing / Http://id.loc.gov/authorities/subjects/sh85081333
Retail Trade / Http://id.loc.gov/authorities/subjects/sh85113295
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
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
Item Description:Reprint #65315
Physical Description:7 pages illustrations

Similar Items