AI one-click food delivery, booking flights... Alibaba Qianwen is about to do something big!

AI one-click food delivery, booking flights... Alibaba Qianwen is about to do something big!

January 15, 2026, a few hours before the launch event of Alibaba’s Qianwen APP.

Wallstreet.cn’s real-world tests found that users can already order takeout, book flights, book hotels, find restaurants, and even handle government affairs directly in the Qianwen APP chatbot under Alibaba.

No complicated redirects, no dazzling pop-ups, just a simple natural language instruction, and AI completes the entire process from intent recognition to transaction placing.

Alibaba’s official trailer calls this "the dawning of the service era.". Yesterday, Alibaba officially announced that the Qianwen APP launch event will be held at 10:00 am on January 15, witnessing how AI “opens the service era.”

This is not just a marketing slogan—it’s more like a revolution, as significant as the day when Steve Jobs pulled out the first iPhone from his pocket.

Right now, Google, OpenAI, and Amazon are fiercely competing for the same goal—AI E-commerce (Agentic Commerce). This is a covert war to seize the "super entry" point of the next-generation internet. As AI begins to take over people’s wallets, the logic of internet traffic, monetization, and even survival is undergoing a fundamental collapse and reconstruction.

A "dimensionality reduction attack" on traffic entry—from "You may like" to "What you want"

Every generational upgrade in the e-commerce industry is essentially a transformation of the traffic entry point.

In the PC era, the entry was the search box (Baidu, Google); in the mobile era, it was the App icon (Taobao, WeChat). In the AI era, the entry is collapsing into a simple dialog box.

1. The demise of the search box

According to the latest research from Zheshang Securities, the combination of AI and e-commerce is at a crucial crossroad from "discriminative recommendation" to "generative recommendation (GR)."

Looking back, we are used to "people searching for goods": typing keywords into the search box and then painstakingly sifting through endless product lists. Or passively accepting “goods searching for people,” with algorithms frantically pushing things they think you might like based on your browsing history.

But now, the Qianwen App is redefining all this.

You no longer need to jump between Apps comparing prices. You just tell Qianwen: “Help me book a ticket to Beijing for tomorrow, the earliest flight,” or “I want the highest rated healthy takeout nearby.” AI directly understands your intent, invokes backend data, and brings the final solution—even the payment button—right to you.

2. Intent is transaction

This is an extremely terrifying “dimensionality reduction attack.”

Once users get used to this "what you think is what you get" way of doing things, the presence of traditional shelf-style e-commerce—or even Apps themselves—will be greatly diminished.

Morgan Stanley's research predicted that by 2030, Agent (intelligent agent) style e-commerce transactions will reach $385 billion, accounting for 20% of the US e-commerce total. The subtext: In the future, one in five dollars will be spent by AI on your behalf.

Whoever controls this dialog box controls the "first mile" of user purchase decisions.

From "Connection" to "Action"—the violent integration of Alibaba's ecosystem

According to Wallstreet.cn’s testing and Zheshang Securities' analysis, the ambition of the Qianwen App lies in leveraging the vast resources of Alibaba Group's ecosystem.

  • Flash Buy: Handles "order takeout with one sentence";
  • Fliggy: Handles "book hotels and flights with one sentence";
  • Amap: Handles travel and restaurant searches;
  • Taobao: Handles physical goods purchase.

This integration is not just a simple API call, but a deep “Agent (intelligent agent)” level merger. According to Zheshang Securities, Alibaba is using the group ecosystem to feed back into the Qianwen App’s entry, and Qianwen Agent will fully integrate these high-frequency real-life scenarios.

This means the Qianwen App is no longer just a standalone chatbot—it's the "central control console" of the entire Alibaba business empire.

2. The confidence of the Qwen model

The Qwen large-scale model behind Qianwen App has exceeded 600 million downloads worldwide, and its performance even surpasses some metrics of GPT-5.

This is not just a victory in computing power, but in data. Unlike pure language models, Qianwen relies on years of accumulated e-commerce transaction, logistics, and local living data from Alibaba. This forms Alibaba’s unique "moat" for C-end AI competition.

Looking back at other competitors:

For ByteDance’s “Doubao,” although it’s also connected to Douyin Mall, there is still a gap in supply chain depth for local lifestyles and complex service fulfillment. For OpenAI, although it has the strongest model, it lacks its own e-commerce and logistics infrastructure, and can only patch this via cooperation with Etsy, Shopify, etc.

But Alibaba not only has a top-tier model like Qwen3-Max, but also infrastructure such as Taobao, Ele.me, and Amap, which both contain massive data and enable direct closed-loop transactions. As LatePost said, Alibaba, through “Qianwen,” has created a super entry point for the C-side, which was a strategic decision by CEO Eddie Yongming Wu.

The ultimate answer to monetization—from “selling ads” to “selling services”

Commercializing AI has always been a challenging problem for the industry. Simply relying on subscription fees (SaaS) rarely covers high computing costs. But once you cut into e-commerce, the business model is instantly clear.

1. The business closest to money

According to research from China Merchants Securities and Zheshang Securities, the narrative logic of AI is shifting from pure "dialogue" to "action." AI will directly integrate multichannel information to provide users with final decision advice—even to the point of directly placing orders.

When AI can directly place orders, its monetization path becomes incredibly short and thick:

  • Commission model (CPS): AI recommends and completes an order for takeout or a flight and directly takes a commission.
  • Intent advertising: Brands no longer pay for keywords, but bid for user "intent." When a user asks "recommend a good facial cleanser," whoever's product shows up in the response pays.

This model’s conversion rate is much higher than traditional advertising. Data shows that shoppers using Amazon’s AI assistant Rufus have a 60% higher buy conversion rate.

2. The feast for the industry chain

This feast isn’t just for platforms.

Zheshang Securities’ report notes that with the Qianwen App’s MAU breaking 100 million on January 14, 2026, the whole industry chain is becoming restless.

  • Operations and marketing: Service providers like SMZDM ("Zhang Da Ma" AI App), Qingmu Tech, and Yiwang Yichuang are using AI to restructure the guide shopping and operation processes.
  • SaaS tools: Companies like Guangyun Tech are embedding AI into customer service and order management systems to adapt to the new traffic distribution mechanism.

This is like the gold rush—Alibaba sells the shovels (infrastructure), while service providers around it are panning for gold.

The elephant in the room—the “life & death speed” of the giants

Alibaba is not the only runner on this track. Global tech giants are playing a musical chairs game, and there’s only one chair—the “AI super entry.”

Looking overseas: Google Gemini is integrating all shopping processes, OpenAI is developing e-commerce protocol standards (ACP), and Amazon is fiercely guarding its moat with Rufus. In China: Qianwen App connects takeout and travel; ByteDance Doubao is connected to Douyin Mall, and the fight has already hit specific transaction nodes.

1. Amazon’s closed-loop defense

Facing the impact from AI Agent, Amazon went with "closed source self-development." Its Rufus shopping assistant uses self-developed chips Trainium and Inferentia to cut costs, and prevents traffic outflow with a closed ecosystem. In 2025, Rufus's monthly active users grew by 140% year-on-year. Amazon even resorted to legal action to stop external AI (such as Perplexity) from scraping its data, thus building a data moat.

2. OpenAI and Google’s dimensionality reduction attack

OpenAI is not idling. Through its “shopping search” feature and cooperation with Shopify and Etsy, it’s trying to intercept traffic at the front end of the decision chain. Data shows ChatGPT’s monthly adoption rate is as high as 45%, far higher than traditional retailers’ self-developed AI.

3. ByteDance Doubao’s breakthrough

As Alibaba’s old rival, ByteDance’s "Doubao" is also gaining momentum. Doubao’s phone assistant tries to connect cross-App operations with system-level services.

However, in practical tests, Doubao encountered frequent "human-machine verification" or forced logout when accessing Taobao, Idle Fish, and other Alibaba ecosystem Apps.

This launch event may mark a moment of change

Piecing these fragments together, the launch event on January 15, 2026 has significance far beyond any single product.

For the market, now is not the time for doubt, but the time to find the giants and new industry leaders who can be the first to secure a spot in this "service revolution".

Just as those who missed out on mobile internet back then, missing out on AI e-commerce may mean truly missing the next decade.

Now, please fasten your seat belts—the "service era" of AI has arrived, roaring in.

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