Book contents
- The Cambridge Handbook of Algorithmic Price Personalization and the Law
- The Cambridge Handbook of Algorithmic Price Personalization and the Law
- Copyright page
- Contents
- Figures and Tables
- Contributors
- Introduction
- Part I Understanding the Phenomenon
- Part II EU Law Perspectives on Price Personalization
- 6 Beyond the Price Tag
- 7 Personalized Prices and Contractual Controls in EU Consumer Law
- 8 EU Competition Law and Personalized Pricing
- Part III Beyond the European Union
- Index
7 - Personalized Prices and Contractual Controls in EU Consumer Law
from Part II - EU Law Perspectives on Price Personalization
Published online by Cambridge University Press: 20 March 2025
- The Cambridge Handbook of Algorithmic Price Personalization and the Law
- The Cambridge Handbook of Algorithmic Price Personalization and the Law
- Copyright page
- Contents
- Figures and Tables
- Contributors
- Introduction
- Part I Understanding the Phenomenon
- Part II EU Law Perspectives on Price Personalization
- 6 Beyond the Price Tag
- 7 Personalized Prices and Contractual Controls in EU Consumer Law
- 8 EU Competition Law and Personalized Pricing
- Part III Beyond the European Union
- Index
Summary
Machine learning and artificial intelligence (AI) allow collecting and processing massive amounts of data obtained from people’s online records. Data is of particular importance regarding consumers and their activity in online markets because it allows access to (many) consumers’ personal and family characteristics, as well as prior consumption history. This, in turn, grants the ability to derive design proxies about preferences, interests, and personal valuations of goods and services. Naturally, this has significant economic impact.
Given the enormous size of the population of consumers, the use of big data, through AI, makes the approximation to individual consumer’s preferences, needs, concerns, and interests very accurate.
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- Publisher: Cambridge University PressPrint publication year: 2025