Dynamic pricing—changing prices via software based on demand and user profiles—has moved far beyond airline seats and Uber rides. Today, e-commerce giants and retailers use sophisticated algorithms to offer unique prices and promotions based on what they can determine about you.
While originally marketed as a way to improve market efficiency, this "innovation" has raised urgent questions regarding consumer harm, discrimination, and a total lack of transparency.
Algorithms That Know Your Wallet
In 2022, the FTC issued a warning regarding "opaque algorithms" used to set personalized prices without accountability. These systems use a vast array of data points to infer exactly what you are willing to pay:
— Ed Mierzwinski, Consumer Advocate
Price Gouging by Another Name?
A 2023 Wall Street Journal study found that some retailers adjust prices based on shoppers' previous high-priced purchases or how long they took to abandon a shopping cart. More strikingly, the study noted different prices for Mac and Windows users, suggesting that platforms assume Mac users have a higher "willingness to pay."
Disparity through Discriminatory Impact
Dynamic pricing often has a discriminatory effect even if unintended. By using "proxy variables" like ZIP codes or historical data, algorithms can indirectly penalize protected classes. Analysis from the Federal Reserve Bank of Cleveland found that personalized pricing creates greater inequalities, with lower-income customers often charged higher prices on average than wealthier, more informed shoppers.
Regulatory Vacuums
While the EU’s Digital Services Act and states like California are moving toward requiring clearer disclosures, the regulatory landscape remains a vacuum. Consumer advocates are calling for rules that require informed consent before a unique price is assessed against an individual.
Addressing the dark side of dynamic pricing will require more than just corporate ethics; it requires new laws and clearer standards for what constitutes "fairness" in the algorithm age.