Impact of the "Measures for the Supervision and Administration of Online Trading Platform Rules" on Major Internet Platforms and Enterprise Response Strategies
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Based on the latest regulatory policy information and market data, I will systematically analyze the impact of the “Measures for the Supervision and Administration of Online Trading Platform Rules” on major internet platforms and the corresponding enterprise response strategies for you.
On January 7, 2026, the State Administration for Market Regulation (SAMR) and the Cyberspace Administration of China (CAC) jointly issued the “Measures for the Supervision and Administration of Online Trading Platform Rules”. At the same time, the National Development and Reform Commission (NDRC), SAMR, and CAC jointly issued the “Price Conduct Rules for Internet Platforms”, which will
According to the policy documents, the main prohibited behaviors for platform operators include:
| Regulatory Category | Specific Prohibited Behaviors |
|---|---|
Big Data Price Discrimination |
Setting different prices for the same product or service under equivalent transaction conditions; implementing differential pricing based on consumers’ payment willingness, consumption preferences, search habits, etc. [3] |
Price Discrimination |
Charging higher prices to long-term users or high-frequency users without justifiable reasons; implementing precise price discrimination using algorithms [4] |
Forced Low-Price Sales |
Forcing or indirectly forcing operators on the platform to cut prices, promote via profit-sharing cashbacks, etc.; forcing operators to not sell at higher prices than other channels [5] |
Improper Charges |
Collecting unreasonable fees or penalties using platform rules; attaching unreasonable conditions through search ranking demotion, algorithmic demotion, etc. [1] |
Based on the 2026 fiscal year Q2 financial report data, Alibaba’s net income attributable to ordinary shareholders
- Restricted Personalized Pricing: Alibaba’s long-standing one-to-one personalized pricing strategy relying on big data algorithms will face major adjustments
- Rising New Customer Acquisition Costs: The past model of obtaining excess profits from long-term users through differential pricing is no longer sustainable
- Reconstructed Relationships with In-Platform Operators: Need to rebalance the profit distribution between the platform and merchants; the protection of “independent pricing rights” in Article 5 will change the platform’s dominant position [5]
Alibaba has integrated its food delivery business into the instant retail segment, carrying out strategic transformation via Taobao Flash Sale. JPMorgan expects that Alibaba will not approach break-even in its food delivery business until
In Q3 2025, Meituan’s adjusted net loss was
| Business Segment | Regulatory Impact | Profit Pressure |
|---|---|---|
| Food Delivery | Prohibition of differential pricing for high-frequency users | Difficulty recovering subsidy war costs |
| In-Store Business | Increased requirements for price transparency | Need to adjust commission models |
| Meituan Flash Sale | Standardization of instant retail pricing | Narrowing of competitive advantages |
Meituan CEO Wang Xing clearly stated that “we will focus on service experience and operational efficiency, believing that irrational competition is only temporary” [7]. JPMorgan expects Meituan to achieve break-even by
In Q3 2025, JD.com’s sales and marketing expenses increased by approximately RMB 34 billion, mainly used for subsidies for its food delivery business. In Q2, the new business segment recorded an operating loss of
- Forced Low-Price Sales Ban: The over RMB 10 billion investment for merchants in JD.com’s “Double Hundred Plan” needs to be re-evaluated for compliance boundaries
- Hindered Instant Retail Strategy: Self-operated formats such as 7 Fresh Kitchen face stricter pricing standard requirements
- Relationships with In-Platform Operators: Need to adjust the terms restricting the price behaviors of in-platform operators
JD.com is shifting from a “mutually destructive subsidy model” to “value competition”, and is expected to scale back subsidies and focus on high-value user groups [7].
┌─────────────────────────────────────────────────────────────┐
│ Compliance Self-Inspection Checklist │
├─────────────────────────────────────────────────────────────┤
│ 1. Fully sort out internal price management systems, and refine │
│ and improve them in accordance with regulatory requirements │
│ 2. Revise platform rules related to the price behaviors of in- │
│ platform operators │
│ 3. Establish a public disclosure mechanism for price behaviors, │
│ and publish pricing rules in a prominent position │
│ 4. Improve rule explanations and price labels for dynamic and │
│ time-based pricing │
│ 5. Establish a coordination mechanism for algorithm filing and │
│ security assessment │
│ 6. Promote the new regulation requirements to in-platform │
│ operators and drive the standardization of price behaviors │
└─────────────────────────────────────────────────────────────┘
| Traditional Model | Transformation Direction |
|---|---|
| Differential pricing based on user portraits | Unified pricing based on costs and reasonable profits |
| Obtaining excess profits through information asymmetry | Gaining value through improved service quality and efficiency |
| Low prices for new users, high prices for long-term users | Maximizing the lifetime value of all customers |
- Value-Added Service Model: Provide member value-added services instead of relying on price discrimination
- Service Tiering Model: Differentiate via service quality rather than price discrimination
- Technical Service Model: Provide value-added services such as data analysis, logistics, and finance to in-platform operators
According to Article 4 of the “Price Conduct Rules”, platform operators should “formulate prices reasonably”, following the principles of
- Basic Pricing Layer: Unified pricing based on costs and reasonable profits
- Promotion Specification Layer: Conduct subsidy promotions fairly and honestly, clearly indicating the discount benchmark
- Service Differentiation Layer: Achieve value differentiation through service content and quality differences
- Optimize supply chain efficiency to reduce operating costs
- Improve logistics and distribution efficiency to create real value
- Use AI technology to enhance user experience rather than implement differential pricing
According to data from the Ministry of Commerce Research Institute, China’s instant retail market will exceed
- Reduce vicious price competition and return to rational value competition
- Establish mutually beneficial relationships with in-platform operators
- Strengthen support and protection for small and medium-sized operators
- Set up dedicated compliance management departments and algorithm ethics committees
- Establish an internal audit mechanism for price behaviors
- Improve user complaint and dispute resolution channels
The 2025 food delivery “three-way competition” temporarily concluded with nearly RMB 100 billion in capital consumption. Industry data shows:
| Platform | Market Position | 2026 Outlook |
|---|---|---|
| Meituan | 50% market share | Expected to achieve break-even in mid-2026 [7] |
| Alibaba (Ele.me/Taobao Flash Sale) | 42% market share | Expected to approach break-even by the end of 2026 [7] |
| JD.com | 8% market share | Scale back subsidies and focus on high-value users |
- Improved price transparency, with “big data price discrimination” phenomena curbed
- Consumers’ right to know and right to independent choice are protected
- Channels for rights protection are more accessible
- Gain more independent pricing rights
- Reduce the pressure of forced low-price sales from the platform
- Obtain a more fair competitive environment
- The industry shifts from “unregulated growth” to standardized development
- Platform competitive advantages shift from “algorithm exploitation” to “service capabilities”
- Small and medium-sized platforms and new entrants gain more fair competition opportunities
┌─────────────────────────────────────────────────────────────┐
│ Response Strategy Framework for Platform │
│ Enterprises │
├─────────────────────────────────────────────────────────────┤
│ │
│ Compliance Bottom Line ──────► Business Model Reconstruction ──────► Value Creation Upgrade │
│ │
│ • Standardization of price behaviors • Shift from price discrimination to service differentiation │
│ • Algorithmic transparency • Shift from subsidy competition to value competition │
│ • Information disclosure mechanism • Shift from traffic monetization to service value-added │
│ │
└─────────────────────────────────────────────────────────────┘
-
Immediately Launch Compliance Self-Inspection(to be completed before Q1 2026)
- Conduct item-by-item inspections in accordance with the “Price Conduct Rules for Internet Platforms”
- Revise and improve internal price management systems
-
Reconstruct Pricing System
- Establish a reasonable pricing mechanism based on costs
- Improve the transparency of price labels and promotion rules
- Standardize dynamic and time-based pricing behaviors
-
Adjust Business Model
- Shift from differential pricing to service value differentiation
- Develop value-added service revenue sources
- Optimize relationships with in-platform operators
-
Strengthen Organizational Capacity
- Set up algorithm ethics and compliance departments
- Establish an internal audit mechanism for price behaviors
- Improve user rights protection mechanisms
The issuance of the “Measures for the Supervision and Administration of Online Trading Platform Rules” and the “Price Conduct Rules for Internet Platforms” marks a new stage in China’s platform economy regulation. For leading platforms such as Alibaba, JD.com, and Meituan, the new regulations will
Platform enterprises should regard regulatory requirements as
[1] Xinhua News - “Two Authorities Issue New Regulations to Standardize Platform Rules” (http://www.xinhuanet.com/fortune/20260107/9b2f25e4e4cd4d638453827d95625dfa/c.html)
[2] Cyberspace Administration of China - “Notice on Issuing the "Price Conduct Rules for Internet Platforms"” (https://www.cac.gov.cn/2025-12/20/c_1767870953332182.htm)
[3] E-Commerce Review - “A Discussion on Consumer Rights Protection Under "Big Data Price Discrimination"” (https://pdf.hanspub.org/ecl_2316235.pdf)
[4] Securities Times - “As Holidays Approach, "Big Data Price Discrimination" Reappears? Industry Insiders: High Concealment, Supervision Difficulties” (https://stcn.com/article/detail/1336544.html)
[5] National Development and Reform Commission of the People’s Republic of China - “Price Conduct Rules for Internet Platforms” (https://www.ndrc.gov.cn/xxgk/zcfb/ghxwj/202512/P020251217550375624524.pdf)
[6] Industry China - “Aftermath of the Food Delivery War: JD.com and Alibaba’s Net Income Halved, Meituan Swings to Loss” (https://www.cinn.cn/yc/2025/12-05/Lkvjmmqk.html)
[7] 36Kr - “Reviewing the 2025 Food Delivery "Three-Way Competition": Where Will the Market Go After Burning RMB 100 Billion?” (https://m.36kr.com/p/3616456454980611)
[8] 21st Century Business Herald - “After Frenzied Spending, the E-Commerce Industry Launches a "Full-Scale War" in 2026” (https://www.21jingji.com/article/20251230/herald/04c2b60dd94dde0c4cc6f9439bfa1f6f.html)
Insights are generated using AI models and historical data for informational purposes only. They do not constitute investment advice or recommendations. Past performance is not indicative of future results.
About us: Ginlix AI is the AI Investment Copilot powered by real data, bridging advanced AI with professional financial databases to provide verifiable, truth-based answers. Please use the chat box below to ask any financial question.
