Trying to buy a luxury handbag online shouldn't depend on your postal code.

But for some consumers in China, it increasingly does.

This week, luxury brand Saint Laurent came under scrutiny after Chinese media reported that its flagship store on a major e-commerce platform had restricted purchases from a subdistrict in Hangzhou closely tied to China's livestreaming economy.

The move triggered backlash online. Lawyers interviewed by Chinese media argued that such blanket regional restrictions could infringe upon consumers' right to fair transactions under Chinese law.

The brand has not publicly responded.

Yet Saint Laurent is hardly alone.

According to reporting by Jiemian News, Miu Miu has imposed similar restrictions affecting consumers in parts of Guangdong and Zhejiang provinces. Many of these areas are deeply tied to China's influencer economy, garment manufacturing industry and online retail ecosystem.

In these places, some consumers have reportedly turned luxury shopping into something closer to temporary inventory rental.

Buy a jacket. Wear it on a livestream. Use it as a manufacturing sample. Return it days later.

The practice, widely criticized online as "wear-and-return" consumption, creates obvious problems for luxury brands. High return rates disrupt inventory management, increase logistics costs and chip away at the exclusivity premium brands depend on.

From a purely commercial perspective, blacklisting entire regions may seem efficient. It is far easier to block thousands of potentially risky orders than identify bad actors individually.

But efficiency is not fairness.

What makes the restrictions unsettling is the logic behind them: everyone sharing the same neighborhood or postal code becomes suspicious by association.

A young office worker in Hangzhou's livestreaming hub may have nothing to do with influencers or resellers. A college student in Dongguan may simply want to buy a pair of shoes. Yet both can suddenly find themselves excluded because brands decided their neighborhoods carry too much risk.

And that is where this strategy starts to look less like risk management and more like laziness.

Luxury brands spend enormous amounts of money trying to understand customers individually — their tastes, shopping habits and long-term value. Online, some appear willing to abandon that logic the moment fraud becomes inconvenient.

The reputational damage may ultimately outweigh the returns abuse itself.

Luxury consumers are buying more than leather or fabric; they are buying aspiration and emotional connection. Discovering that your neighborhood has effectively been blacklisted is a remarkably fast way to destroy that relationship.

Then there are the platforms.

When Jiemian News contacted customer service representatives regarding the restrictions, merchants and platform operators largely pushed responsibility back and forth. That points to a deeper problem in China's e-commerce system.

The platforms already possess the data needed to identify abnormal shopping behavior. They can see which accounts repeatedly place large orders and quickly return them. Precision risk control is technologically possible.

Yet instead of building systems targeting specific abusive users, platforms have largely allowed brands to solve the problem themselves — even if that means crude forms of geographic exclusion.

In effect, the cost of weak platform governance is being transferred onto ordinary consumers.

To be clear, abusive return behavior is a real problem. Consumers who exploit return policies damage trust for everyone else. But collective punishment is a poor substitute for proper platform governance.

Some brands reportedly relaxed restrictions after public criticism intensified. None have clearly explained whether the underlying policies have changed. Which means this controversy may not really be about luxury brands at all.

It may be an early glimpse of a digital commerce system increasingly comfortable judging consumers not by their behavior, but by the risk profile of where they live. Unless platforms build more precise risk-control systems — and regulators draw clearer lines between fraud prevention and geographic discrimination — similar controversies are likely to resurface in new forms.