The path to monetizing large models is being forcefully unlocked by industry giants. Recently, Qwen has been deeply integrated with Taobao. This is not just a simple jump, but rather AI assistants have been transformed into "super sales consultants." Now, users can complete the entire process of product selection, multi-platform price comparison, and payment simply by speaking in the Qwen app.
This transformation marks the shift of AI e-commerce from a "helper search tool" to an "infrastructure." For Alibaba, this is not only a key leap in its AI strategy, but also provides a practical traffic outlet for the commercialization of large models.
Shopping Experience: From "Searching Keywords" to "Speaking Naturally"
In practice, this "closed-loop shopping" experience is very smooth. Traditional e-commerce models rely on users manually entering keywords and repeatedly filtering through a vast array of products. After integrating with large models, the system has entered the "intent recognition" stage.
For example, when you ask for "a summer office shirt made of pure cotton, light blue, under 200 yuan," Qwen will automatically access Taobao's inventory of 4 billion items. It can not only accurately match the products, but also generate order cards, comparing prices, sales, and store ratings for the same item. Once confirmed, users can directly use Alipay to pay within the chat interface, and even handle logistics updates and after-sales returns with just one sentence.
Redistribution of Traffic Sovereignty
Industry observers point out that this essentially represents a restructuring of e-commerce logic. In the past, nearly 70% of Taobao's revenue came from keyword bidding ads. With the help of large models, natural language understanding has significantly reduced the middle links. The large model has become the "operating system" of shopping, while the vast product library has moved to the background, serving as a backend service interface.
Notably, Douyin's Duanbao has also started similar functions in internal testing, supporting direct purchases of TikTok E-commerce products within the app. As major companies are entering this space, the core moat lies in "transaction loop data." Having real and frequent consumer behavior data means that AI recommendations will be far more accurate than competitors relying on web crawling.
New Commercialization Experiments and Concerns
Although AI e-commerce has shown strong explosive power, challenges remain. Current models still need optimization for extremely niche or vaguely described products, and Taobao's massive SKU library is still being gradually integrated.