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This algorithmic price fixing case began with rival poster sellers agreeing on prices, then choosing algorithms to coordinate them, according to a seller executive’s criminal plea agreement. The posters sold through Amazon Marketplace. Shoppers saw separate sellers. Their prices followed a shared agreement. For someone working in pricing or software, the important connection is between the instructions the business gave and the behavior the code delivered.
Price fixing is an agreement among rivals on the prices they charge instead of competing. In this case, poster sellers agreed to fix, increase, maintain and stabilize prices for selected products. The executive’s criminal plea agreement describes pricing discussions with representatives of competing poster businesses, followed by an agreement to adopt specific algorithms to coordinate price changes.
The executive worked as Director of Trend at an art seller based in Emeryville, California. The business sold posters, prints and framed art in the United States and elsewhere. The plea describes Amazon Marketplace as Amazon’s website for third-party sellers, where the participating businesses sold the posters.
Buyers shopping among those businesses were entitled to the competition the sellers had agreed to replace.
The criminal plea agreement describes the sellers coordinating prices from as early as September 2013 until about January 2014. In its April 6, 2015 announcement, the Justice Department described the matter as its first criminal prosecution of a conspiracy specifically targeting e-commerce. The executive agreed to plead guilty to price fixing under the Sherman Act.
The sellers chose both the pricing arrangement and the algorithms that would carry it out, according to the criminal plea agreement. Their agreement reached into how each business would change its prices.
The agreement’s factual account states the purpose directly:
In order to implement these agreements, the defendant and his co-conspirators agreed to adopt specific pricing algorithms … with the goal of coordinating changes to their respective prices.
Factual basis in United States of America v. Topkins, criminal plea agreement, April 30, 2015
The criminal charge, as described in the Justice Department’s announcement, alleged that the participants wrote computer code instructing algorithm-based software to set prices in line with their agreement. The commercial decision had already been made. The code gave that decision a way to operate across the sellers’ prices.
The language about selected posters matters. The plea describes an agreement covering particular products, with the algorithms coordinating changes to those products’ prices. For someone who knows the catalog, the product selection is part of the story. It connects what the sellers discussed to what the software was instructed to price.
The plea stipulated $575,000 in affected commerce, the sales volume attributed to the conduct.
We work with pricing, sales and software insiders to connect rival discussions, pricing instructions and resulting prices. Together, those details can explain how an agreement operated.
An insider may recognize a different part of that sequence depending on the work they did. A pricing employee may have heard the instruction. A developer may have implemented it.
A pricing or sales employee may know what the company agreed with a rival and which products the discussions covered. The useful detail is the pricing decision: what the other business wanted, what the seller agreed to do and how that decision reached the people responsible for implementation.
In the poster plea, those conversations had a stated objective, fixing, increasing, maintaining and stabilizing prices. Connecting the instruction to that objective gives a technical change its business context. A request to change a setting can tell a much larger story when the person explaining it knows where the request came from.
A developer who knows the competitor instructions can connect them to the system’s configuration history. That connection is especially useful when it explains how an agreed pricing method became software behavior.
We examine how the business instruction translated into code or settings, which products it covered and what changed when it took effect. The person who configured a pricing system may know how a commercial instruction was put into operation even when someone else handled the discussions with rivals.
Pricing outputs connect the instruction to what customers were offered. We compare the behavior the business requested with the behavior the system produced, keeping the affected products and timing in view.
The seller’s instruction explains the intended change, the configuration explains how it was implemented, and the price history shows what happened afterward. An insider who knows why the prices moved together can explain the business decision behind the pattern.
In the poster case, the employee’s explanation belongs beside the price history. Someone who knows the competing sellers, the product choices or the reason for a configuration change can explain what a pattern means inside the business. We connect that knowledge to the communications and implementation records that support it.
Zaappaaz, which traded as Wrist-Band.com and Customlanyard.net, illustrates another way online sellers communicated a price agreement. In its criminal charging announcement, the Justice Department described alleged coordination of wristband and lanyard prices through in-person meetings, social media and encrypted communications. The company agreed to plead guilty.
The parallel is the connection between a competitor discussion and a commercial price. In the poster case, the criminal plea agreement describes algorithms chosen to coordinate changes. In the promotional-products case, the government’s account describes channels through which rivals communicated their pricing arrangement.
For an insider, the significance of a tool lies in the business decision it carried. A message may explain who agreed to the price. A configuration history may explain how that agreement reached the customer.
We assess a pricing insider’s information against the reward program that fits the conduct and the person’s circumstances. For someone who recognizes an agreement like the poster arrangement, we examine the competitor communications, implementation and business transactions together.
A whistleblower case under the False Claims Act can pay 15% to 30% of what the government recovers. We examine that route where collusive pricing also produces qualifying false claims paid by the government. If your pricing work involved government customers, that connection belongs in our conversation. We work through the applicable route and any questions about your own role with you.
If the poster-price agreement came before the code change, explain both decisions to our whistleblower experts.