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Pricing in the Age of AI
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- Nombre de pages258
- Date de parution29/09/2026
- FormatePub
- ISBN978-0-262-05679-3
- EAN9780262056793
- Protection num.Adobe DRM
- Infos supplémentairesepub
- ÉditeurThe MIT Press
Résumé
How AI is transforming pricing decisions, and what opportunities, challenges, and risks these transformations bring. Pricing in the Age of AI explores the evolution of pricing decisions, with a particular emphasis on recent advancements. In the age of big data and AI, pricing strategies have undergone a dramatic transformation. For instance, in e-commerce, prices can now be adjusted every few seconds, tailored to individual users or personas, and optimized with precision.
This transformation has the potential to disrupt pricing decisions on an unprecedented scale. Author Maxime Cohen begins by tracing the history and importance of pricing decisions. He focuses on the transformative changes of the past decade, highlighting how big data and AI have upended traditional pricing strategies. He also examines the psychological and behavioral tactics employed to influence consumer behavior through pricing, as well as how recent advancements in AI-and generative AI-are revolutionizing pricing practices, enabling managers to automate, optimize, and personalize decisions at scale.
Finally, he discusses the challenges and risks associated with these innovations, including ethical concerns such as anticompetitive practices, consumer protection, and discrimination issues.
This transformation has the potential to disrupt pricing decisions on an unprecedented scale. Author Maxime Cohen begins by tracing the history and importance of pricing decisions. He focuses on the transformative changes of the past decade, highlighting how big data and AI have upended traditional pricing strategies. He also examines the psychological and behavioral tactics employed to influence consumer behavior through pricing, as well as how recent advancements in AI-and generative AI-are revolutionizing pricing practices, enabling managers to automate, optimize, and personalize decisions at scale.
Finally, he discusses the challenges and risks associated with these innovations, including ethical concerns such as anticompetitive practices, consumer protection, and discrimination issues.