Same Listing, Same Price, Worse Goods for Rural Buyers: China's Consumer Group Says Sellers Use Algorithms to Target People Unlikely to Complain

Same product link, same price, but city buyers get the good version while rural buyers get a downgraded one. On Nov. 12 the China Consumers Association publicly called out this online-shopping trick, known in China as "AB goods," and said sellers who use algorithms to label shoppers and ship them different goods are violating their personal-information rights and their right to fair trade.

What "AB goods" means

According to The Beijing News and China Daily's Chinese site, both relaying a CCTV News report, the association defines "AB goods" as some online sellers shipping noticeably different quality to different customers who bought the same item through the same listing at the same price. It takes two main forms. In one, buyers are shown the "A" product but sent the "B" product. In the other, sellers deliberately send the downgraded "B" goods to shoppers in remote rural areas, because returns are inconvenient and complaints costly for them, while customers in cities or those more likely to push back get the normal "A" goods.

Where algorithms come in

The most notable part of the statement is that it names "algorithmic profiling." The association says online platforms use buying habits, delivery region and return history to profile users along several dimensions, tagging them and picking out groups seen as "unlikely to return" or "unlikely to complain." AB-goods sellers then ship accordingly. The association described this as using algorithms to exploit loyal customers, newcomers and the vulnerable.

A quick definition: algorithmic profiling means a system automatically assigns you a set of labels based on your address, what you've bought and how often you return things, to predict what kind of customer you are. It's usually used to recommend products, but the same data can be used to guess whether you'd send back a bad item.

The association cited several laws. China's consumer protection law requires that a product's actual quality match how it was presented, so showing a good product and shipping a worse one may amount to misrepresentation or even fraud. Article 24 of the Personal Information Protection Law requires automated decisions that use personal data to be transparent and fair, and bars unreasonable differential treatment in trading terms. Article 21 of China's rules on algorithmic recommendation services likewise bans using algorithms to impose unreasonable differential treatment in trading terms based on a consumer's preferences or habits. The association also called AB goods a form of unfair competition.

Not a new problem

As tech site IT Home recapped, AB goods have been the subject of several media investigations this year. One reviewer mailed identical slippers, hair clips and padded pants ordered to Shenzhen, Dezhou in Shandong and Huangmei in Hubei, and the items sent to Shenzhen looked noticeably better. Citing an August report by TMTPost, IT Home said one 79-yuan base-layer shirt cost the seller about 35 yuan in its A version and under 20 yuan in its B version, and seller data showed B goods sent to small towns had return rates steadily below 2%, versus up to 20% in first-tier cities. In other words, for these sellers, "send worse goods to whoever is least likely to return them" is a calculation that pays.

IT Home also noted that China's rules on internet platform pricing, in force since April 10 this year, explicitly ban differential pricing and differential shipping based on consumer profiles, and that Pinduoduo issued a crackdown notice in September listing "using big data and user profiles to send different goods to different consumers" as a priority violation.

Why it matters

The familiar version of this is "big-data price discrimination," where a returning customer gets quoted a higher price for the same thing, a difference shoppers can at least compare. AB goods are harder to spot: the price and the page are identical, the difference sits in the warehouse, and it lands on the people least able to return items or compare notes. By tying the practice to algorithmic profiling and personal-information law, the association is saying that using data to single out people who are easy to cheat is itself the problem, not just a single mismatched order.

The association is a consumer group, so its statement isn't a penalty. Whether regulators follow with targeted enforcement, and whether platforms can technically detect "one listing, different goods," remains to be seen.

What it means for you

The association advises shoppers to keep screenshots of product pages, livestream recordings, order records and photos of what arrives, so they can file a complaint with consumer associations if there's a dispute. If you live in a small town or the countryside and often feel online purchases don't quite match the photos, compare what friends or family in a city got from the same listing. And for older relatives or anyone who rarely sends things back, returning and complaining about clearly wrong items matters more than ever, so the algorithm doesn't mark them as someone who won't push back.

Original sources published: The Beijing News (relaying CCTV News), Nov. 12, 2026, 10:03 Beijing time (UTC+8); IT Home, Nov. 12, 2026, 10:10 Beijing time; China Daily (Chinese site), Nov. 12, 2026, 10:32 Beijing time