Sources · Chapter 17 — AI-Driven Personalized Pricing
How AI-Powered Price Personalization Works
Section: How AI-powered price personalization works
The following sources inform the “How AI-powered price personalization works” section of Chapter 17. They cover the FTC’s surveillance pricing study, privacy advocacy perspectives from EPIC, and academic and industry explanations of how machine-learning models translate shopper behavior into individualized prices in milliseconds.
- EPIC (Electronic Privacy Information Center) — Surveillance Pricing
- The Conversation / UNSW — AI Is Using Your Data to Set Personalised Prices Online. It Could Seriously Backfire
- DealHub — What Is Personalized Pricing?
- Fast Simon — Dynamic vs. Personalized Pricing: How Do They Differ?
- Monetizely — Personalized Pricing: Using AI to Tailor Prices for Each Customer
- SSRN Working Paper — AI-Driven Personalized Pricing Models in E-Commerce: Leveraging Consumer Data for Optimal Pricing
Links to all sources checked, with links working as of April 2026.