Project Nessie: Inside the FTC's Case Against Amazon
The unsealed complaint reveals an algorithm allegedly designed to test how much Amazon could raise prices without losing sales.
What is Project Nessie?
According to the FTC's complaint, "Project Nessie" was Amazon's internal name for a pricing algorithm designed to maximize profits by testing how high prices could go before consumers would shop elsewhere.
The Allegations
The FTC claims Amazon used Nessie to:
- Raise prices across the platform by coordinating increases with third-party sellers
- Monitor competitor responses to see if they matched Amazon's higher prices
- Maintain elevated prices when competitors followed suit
- Lower prices temporarily only when competitors undercut them
The Monopoly Argument
The FTC's theory is that Amazon has such dominant market power that when it raises prices, competitors often follow rather than risk being delisted or buried in Amazon's search results. This creates an anticompetitive feedback loop:
- Amazon raises prices
- Competitors match to avoid retaliation
- Consumers pay more across the entire market
- Amazon profits even on transactions it doesn't facilitate
Amazon's Defense
Amazon has called the lawsuit "fundamentally flawed" and argues:
- It discontinued Project Nessie years ago
- The algorithm actually lowered prices in many cases
- Competition in e-commerce remains fierce
- The FTC is punishing Amazon for being successful
What's at Stake
This is one of the largest antitrust cases in a generation. If the FTC prevails, it could force Amazon to:
- Restructure its marketplace business
- Change how it ranks and promotes products
- Potentially spin off parts of its operations
The Broader Context
This case is part of a wave of antitrust enforcement against Big Tech, including cases against Google, Apple, and Meta. The outcome could reshape how regulators approach platform monopolies.