China Bans 'Whole Net Lowest Price' Claims
🐯#antitrust#algorithmic-pricing#ecommerce-regulationFreshcollected in 18m

China Bans 'Whole Net Lowest Price' Claims

PostLinkedIn
🐯Read original on 虎嗅

💡China's rules crack down on algo pricing collusion—critical for AI in e-com

⚡ 30-Second TL;DR

What changed

Lists 'whole network lowest price' as a variant of 'pick-one-of-two', coercing merchants via traffic

Why it matters

Platforms must overhaul pricing algorithms and data practices, risking fines for non-compliance. AI developers face stricter scrutiny on automated decision-making in China e-commerce. Signals broader regulation of algorithmic behaviors globally.

What to do next

Audit your pricing ML models for data-sharing or auto-follow features before China platform deployment.

Who should care:Enterprise & Security Teams

🧠 Deep Insight

Web-grounded analysis with 8 cited sources.

🔑 Key Takeaways

  • SAMR released anti-monopoly compliance guidelines for internet platforms on February 14, 2026, identifying eight high-risk anti-competitive behaviors including 'whole network lowest price' claims, algorithmic collusion, forced exclusivity, price discrimination, and below-cost sales.[1][2]
  • Guidelines prohibit algorithm-driven implicit collusion via data sharing or automatic price adjustments, as seen in ride-hailing and delivery sectors, and big data 'kill-mature' pricing that charges loyal users more.[1][2]
  • SAMR summoned representatives from major platforms like Alibaba, Tencent, Douyin, Baidu, JD.com, Meituan, and Taobao Shangou on February 13, 2026, urging rational competition and compliance with antitrust, pricing, and consumer protection laws.[2]

🛠️ Technical Deep Dive

  • Guidelines target algorithmic collusion where platforms share pricing data or use algorithms for automatic price adjustments, mimicking human coordination without explicit agreements.[1][2]
  • Big data 'kill-mature' pricing involves using user behavior data to charge higher prices to loyal or frequent customers.[1]
  • 'Whole network lowest price' is a coercive tactic similar to 'pick-one-of-two' deals, using traffic allocation to force merchants into exclusivity or price undertakings.[1]

🔮 Future ImplicationsAI analysis grounded in cited sources

The guidelines mark a shift to long-term compliance rules over targeted crackdowns, increasing scrutiny on e-commerce, food delivery, and social media platforms to promote fair competition and protect smaller businesses, potentially curbing aggressive promotions and subsidies across tech giants.[1][2]

⏳ Timeline

2025-09
SAMR monitors food-delivery sector for price distortions from excessive subsidies.
2025-11
SAMR initiates public consultation on Guidelines for Anti-Monopoly Compliance of Internet Platforms.
2026-02-13
SAMR summons Alibaba, Tencent, Douyin, Baidu, JD.com, Meituan, and Taobao Shangou for warnings on cutthroat competition.
2026-02-14
SAMR releases anti-monopoly compliance guidelines targeting eight high-risk monopoly practices for online platforms.

📎 Sources (8)

Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.

  1. caixinglobal.com
  2. caixinglobal.com
  3. legalblogs.wolterskluwer.com
  4. practiceguides.chambers.com
  5. globaltimes.cn
  6. jdsupra.com
  7. mondaq.com
  8. hoganlovells.com

China's SAMR released anti-monopoly guidelines for internet platforms, targeting practices like 'whole network lowest price' as monopoly risks. It prohibits algorithm-driven price coordination, big data kill-mature pricing, blocking competitors, and predatory below-cost sales. This shifts antitrust from case-by-case to full-scenario rule reconstruction affecting all platforms.

Key Points

  • 1.Lists 'whole network lowest price' as a variant of 'pick-one-of-two', coercing merchants via traffic
  • 2.Bans implicit collusion via algorithms sharing data or auto-adjusting prices like in ride-hailing/delivery
  • 3.Prohibits big data kill-mature (charging loyal users more) and arbitrary link blocking without cause
  • 4.Regulates below-cost sales aimed at excluding rivals, not innovation
  • 5.Applies to all platforms using rules/data/algorithms to influence competition, not just giants

Impact Analysis

Platforms must overhaul pricing algorithms and data practices, risking fines for non-compliance. AI developers face stricter scrutiny on automated decision-making in China e-commerce. Signals broader regulation of algorithmic behaviors globally.

Technical Details

Guidelines target algorithm-data-tech for implicit coordination, including data sharing, notifications, and auto-price matching. Evidence includes algo traces, data logs, model training. Covers backend features like traffic weighting tied to lowest-price compliance.

#antitrust#algorithmic-pricing#ecommerce-regulationinternet-platform-anti-monopoly-guidelines
📰

Weekly AI Recap

Read this week's curated digest of top AI events →

👉Read Next

AI-curated news aggregator. All content rights belong to original publishers.
Original source: 虎嗅