Analysis of Conversion Rate in Alibaba Qwen AI E-Commerce Ecosystem

Based on the latest information I have searched, regarding the conversion rate improvement after Alibaba’s Qwen AI was integrated into its e-commerce ecosystem, public data currently reveals an

.

According to a report from Beijing Business Daily on January 15, 2026,

[1]. This means:

• Qwen App currently has a monthly active user count of just 100 million, still in the
  early stage
  of product development [1]
• Specific data on C-end conversion rate improvement has not been publicly disclosed or formed a scale effect yet

Although data on Qwen’s C-end conversion rate is not clear, AI tools launched by Alibaba for merchants have achieved

:

AI Tool/Function	Effect Data	Data Source
AI Universal Search, Pailitao, AI Recommend for Me	Double-digit growth in traffic matching efficiency (over 10%)	Beijing Business Daily [1]
Business Manager (used by 5 million merchants)	Average 1.5-fold increase in operational efficiency	21st Century Business Herald [2]
Full-Site Promotion Tool (for small and medium-sized merchants)	Over 40% improvement in delivery efficiency	21st Century Business Herald [2]
AI-Driven Promotion	Year-on-year growth in guided transaction volume at the hundred-billion-yuan scale , with new customers accounting for over 80%	21st Century Business Herald [2]

Qwen has now connected to Alibaba’s entire ecosystem, realizing a closed-loop model of

:

• One-sentence food delivery
  : Call Taobao Flash Sale and Alipay “AI Payment” to place an order with one click
• One-sentence shopping
  : Intelligent recommendations based on Taobao’s product database, directly generating orders
• One-sentence ticket booking
  : Integrates with Fliggy’s ticketing system to automatically push payment cards [3]

1. User habit cultivation
   : It takes a long time to educate users, and user intervention is still required for decision-making on high-priced products [1]
2. Processing speed
   : Some users have feedback that “the process is too slow”, and efficiency needs to be improved [4]
3. Platform ecosystem barriers
   : It mainly recommends products within Alibaba’s ecosystem, which may face criticism of “information cocoon” [1]

• Zhao Zhenying, a researcher at the National Engineering Laboratory for E-Commerce Transaction Technology, believes that the integration of Qwen can realize “
  full-scenario services to enhance user dependence, extend user retention cycle, and maximize the monetization of lifetime value
  ” [1]
• Alibaba CEO Yongming Wu has characterized the competition for AI entry points as a “
  survival-critical mandatory question
  ” [1]
• According to McKinsey’s forecast, driven by AI agent commerce, the potential increment of the global retail market will reach
  $3 trillion to $5 trillion
  by 2030 [3]

, mainly because the product is still in the early stage and user scale is still growing. However, , with traffic matching efficiency, operational efficiency, and delivery efficiency all seeing double-digit to multi-fold improvements.

As Qwen’s monthly active users exceed 100 million and continue to grow, coupled with Alibaba’s plan to access third-party platforms and launch an international version, improvement in conversion rate data is worth expecting in the future. As industry analysts said: “

” [4].

---

[1] Beijing Business Daily - “Alibaba Qwen Integrates into E-Commerce Giant to Seize Super Consumer Entry” (https://www.bbtnews.com.cn/2026/0115/581858.shtml)

[2] 21st Century Business Herald - “2025 China Technology New Trend: Tech Giants Invest Hundreds of Billions in AI to Compete for Super Entry Points” (https://m.21jingji.com/article/20251229/herald/ba4a35ad837f9dcbadc692503d4d24c5.html)

[3] Jiefang Daily - “A 100 Million MAU ‘Super Entry’ Born in Shanghai, Standing on Alibaba’s Shoulders” (https://www.jfdaily.com/news/detail?id=1052590)

[4] Everyone is a Product Manager - “Alibaba’s AI Has Finally Found the Right Direction” (https://www.woshipm.com/share/6327743.html)"