You are using an outdated browser and your browsing experience will not be optimal. Please update to the latest version of Microsoft Edge, Google Chrome or Mozilla Firefox. Install Microsoft Edge

August 21, 2025

Thailand Seeks Comments on Draft Trade Practice Guidelines for E-commerce

On August 19, 2025, the Trade Competition Commission of Thailand (TCCT) released its draft Guidelines on the Consideration of Unfair Trade Practices and Conduct Constituting Monopoly, Reducing Competition, or Restricting Competition in Multi-Sided Platform Businesses in the Category of Digital Platforms for the Sale of Goods or Services (E-commerce). A public comment period on the guidelines is open until September 18.

The draft provides the first detailed framework for how the TCCT will interpret and enforce the substantive provisions under the Trade Competition Act against digital platforms, which have a unique network effect and require complex competition analysis. This development will profoundly impact the operations of e-commerce platforms, sellers, and associated service providers in Thailand.

The guidelines primarily target e-commerce digital platform business operators, which are defined as follows:

  • E-commerce digital platform: A medium facilitating the sale, purchase, or exchange of goods or services, including any operations to create transactions or interactions between business operators via an electronic transaction system, regardless of whether service fees are charged.
  • E-commerce digital platform business operator: A service provider of a digital platform for the sale of goods or services who acts as an intermediary facilitating the sale of goods or services, including any operations to create transactions or interactions through an electronic transaction system by receiving orders for goods or services transacted via an electronic system, whether in the form of an e-marketplace, a social marketplace, or any other form that connects purchase orders for goods or services with business operators through an electronic system.

Prohibited Conduct

The guidelines classify potentially anticompetitive conduct and unfair trade practices into two categories: price-related and non-price-related conduct.

1. Price-related conduct

The TCCT is targeting pricing strategies that can harm competition. Key prohibited behaviors include:

  • Price below cost: Setting prices below the average total cost without reasonable justification.
  • Rate parity clauses: Prohibiting sellers from offering lower prices on competing platforms or other channels.
  • Resale price maintenance: Imposing resale prices and penalizing sellers that do not comply (e.g., refusal to deal).
  • Excessive or discriminatory fees: Charging unjustified commission, advertising/affiliate ad fees, logistics/pickup fees, promotion fees, or payment fees, particularly when fees are aligned with competitors (parallel pricing), are below average total cost (price below cost), are below average variable costs (predatory pricing), or are applied in a discriminatory manner (e.g., different rates for mall sellers and non-mall sellers).
  • Algorithmic price manipulation: Deploying an automated ranking or price ranking system that directly or indirectly distorts fair competition without reasonable justification.
  1. Non-price-related conduct
    Equally important are non-price-related practices that may constitute unfair conduct. These include:
  • Self-preferencing: Using algorithms or platform design to block or limit the visibility of a seller’s products while giving preferential treatment to the platform’s own products or those of favored partners.
  • Tying and coercion: Forcing sellers to use specific services offered by the platform or its designated partners. This includes mandating the use of the platform’s own logistics provider, payment gateway, or advertising services, such as monthly recurring promotional activities (e.g., double-date sales).
  • Exclusive dealing: Imposing conditions that restrict a seller’s rights, such as forbidding them from selling on competing e-commerce platforms and penalizing them with account suspension or delisting in case of deviation.
  • Discrimination: Treating different business partners unequally without justification. Examples include ranking the products of one seller higher than another for no valid reason (ranking discrimination) or allocating unequal order volumes among logistics providers (quantity discrimination).
  • Data leveraging: Using data collected from sellers to give the platform’s own affiliated businesses an unfair competitive advantage.
  • Collusion: Coordinating with competing platforms or sellers on actions such as keyword bidding for advertisements.

Implications for Businesses

The TCCT is intensifying its focus on digital platform businesses, particularly those operating in multi-sided markets, e-commerce operators, and e-marketplaces. The guidelines signal that platform business operators, sellers, carriers, advertisers, and payment service providers must reassess their commercial arrangements and algorithms to ensure compliance. Practices previously considered routine, such as mandating logistics partners or aligning prices through rate party requirements, may now be scrutinized as unfair.

Importantly, the TCCT emphasizes that unfair or unreasonable practices can be assessed from business operators not being able to demonstrate their economic, business, or marketing justifications or provide reasonable explanations based on commercial dynamics or technological advancements.

Engagement through Public Hearings

While providing much-needed clarity, the broad language and far-reaching implications of the draft guidelines could create significant compliance challenges for platform and e-commerce operators and fundamentally alter the business strategies of all stakeholders.

This public hearing period is a critical opportunity for businesses to shape the final form of these regulations. Submitting well-reasoned comments can help ensure that the final guidelines are practical and balanced, and foster genuine competition and innovation.

RELATED INSIGHTS​ 

April 9, 2026
As part of its ongoing public consultation process for the development of new practical guidelines under the Personal Data Protection Act B.E. 2562 (2019) (PDPA), Thailand’s Personal Data Protection Committee (PDPC) held a two‑day public hearing on April 1–2, 2026. The hearing followed an online questionnaire and stakeholder engagement activities conducted in March 2026 and reflects the PDPC’s continued efforts to develop guidance that aligns international regulatory standards with Thai operational realities. The public hearing provided a forum for participants from both the public and private sectors to exchange views with the PDPC on the proposed guidance so that it responds to the needs of the business community while supporting effective and balanced enforcement of the PDPA. The PDPC emphasized that the consultation process is part of a wider policy objective to build trust in the convenient, secure, and internationally aligned exchange of data. Structure of the Consultation Process According to the PDPC, the initiative to develop the draft PDPA guidelines is being implemented through three core phases: Review of international best practices. The PDPC has conducted a comparative review of data protection guidance and regulatory approaches in jurisdictions with internationally recognized standards, including Singapore, the United Kingdom, the European Union (EU), and Japan. These materials are intended to serve as a reference point for developing practical recommendations across key subject areas under the PDPA. Identification of practical issues and challenges. To ensure that the guidelines respond to real‑world compliance challenges in Thailand, the PDPC has gathered views from a broad range of stakeholders across the public sector, the private sector, and the general public. This phase included focus group discussions and questionnaires aimed at identifying areas to provide organizations with greater clarity and consistency on regulatory expectations. Preparation of draft guidelines. Insights from the comparative study and stakeholder
April 3, 2026
On March 16, 2026, Vietnam’s Ministry of Public Security released a draft version of a new Decree on the Prevention and Combating of Cybercrime and High-Tech Crime to replace the currently effective Decree 25/2014/ND-CP. In the draft, the ministry has proposed a comprehensive regulatory framework aimed at addressing violations occurring within the cybersecurity domain, including measures related to intellectual property. Acts of Online IP Infringement Article 9 of the draft decree notably introduces specific provisions addressing online intellectual property infringement, with detailed lists of acts considered to constitute infringement in the online environment. Copyright and related rights infringement includes: Uploading or sharing works, performances, sound recordings, video recordings, broadcasts, computer programs, software, research, documents, theses, or other intellectual creations on digital platforms without the consent of the rights holder. Unauthorized livestreaming of copyrighted television programs, sporting events, or artistic performances. Uploading, sharing, storing, transmitting, or providing links to infringing works or digital content via websites, social networks, applications, or digital platforms. Providing or using software, tools, devices, or access codes to circumvent technological protection measures or evade lawful control mechanisms implemented by rights holders. Using artificial intelligence (AI) tools to replicate the ideas or structure of another person’s work without significant new creativity or without proper attribution, thereby causing damage to the original author. Industrial property infringement includes: Manufacturing, trading, advertising, or distributing counterfeit goods bearing counterfeit trademarks, geographical indications, or industrial designs, as well as goods infringing industrial property rights through online platforms. Unauthorized registration, appropriation, or use of domain names, account names, or digital identifiers that create confusion regarding the rights holder or the origin of goods or services. Producing, using, or offering for sale products containing all or part of a patented invention via online platforms. Advertising or introducing products with technical features or characteristics identical
April 3, 2026
Thailand’s Securities and Exchange Commission (SEC) has established a comprehensive governance framework for the use of artificial intelligence and machine learning (AI/ML) in the capital markets. The framework provides guidance to capital market business operators on understanding the risks associated with AI/ML implementation and adopting appropriate practices to build public confidence in Thailand’s capital markets. While the guidelines are principle-based rather than prescriptive, they reflect the SEC’s expectations for responsible AI/ML governance and are likely to inform supervisory activities and industry standards going forward. Scope The framework applies to capital market business operators supervised by the SEC. This includes, for example, securities and derivatives firms, asset management companies, mutual fund and private fund managers, investment advisors and investment consultants (including robo-advisory service providers), derivatives intermediaries, and other licensed intermediaries and market operators in the Thai capital markets that deploy AI/ML in their operations. Core Principles of the Guidelines The framework is presented as a best-practice manual rather than prescriptive regulation, providing guidance that regulated entities may apply to their AI/ML governance and risk management as appropriate. While currently nonbinding, the guidelines signal the SEC’s expectations for the sector, particularly in relation to other binding SEC regulations such as those covering IT risk management and market conduct. The guidelines name four core principles for AI/ML deployment: Fairness: Design and develop AI/ML with consideration for fairness, equality, and social diversity to prevent discrimination against individuals or groups. Legal and ethical compliance: Ensure AI/ML use aligns with applicable laws, ethical standards, and organizational values and policies. Accountability: Establish clear responsibility—both internally and externally—for AI/ML activities and outcomes. Transparency: Provide adequate disclosure to users about AI/ML use, including explainability of decisions and traceability of activities. AI/ML Best Practices The guidelines prescribe best practices across four stages of the AI/ML lifecycle, as described below.
April 2, 2026
Thailand’s Personal Data Protection Act (PDPA) enforcement has entered a new phase, and the insurance industry is squarely in the regulatory spotlight. The Personal Data Protection Committee (PDPC) considers insurers “large-scale” processors of sensitive data—including health records, financial information, and biometric data—making the sector a focal point for enforcement action. In August 2025 alone, the PDPC issued administrative fines totaling THB 21.5 million, and fines for individual violations have ranged from THB 50,000 to THB 2 million. The PDPC has also deployed its “Eagle Eye Crawler,” an AI-driven surveillance tool that monitors websites around the clock for data leaks and noncompliant privacy notices. This article highlights the key regulatory developments directly affecting insurers and outlines practical steps toward compliance. What Has Changed: OIC and PDPC Alignment The Office of Insurance Commission (OIC) has synchronized its sector-specific rules with the PDPA through the Notification on Customer Personal Data Protection (No. 2) B.E. 2568 (2025). The combined effect of the PDPC’s general enforcement push and the OIC’s sectoral guidance creates four critical compliance areas for insurers. Consent unbundling. Consent for marketing must be strictly separated from the core insurance contract; bundling marketing consent into the policy application is no longer permissible. Agent and intermediary oversight. Insurance intermediaries are generally classified as data processors, meaning that insurers—as data controllers—must provide specific written instructions and security protocols to all agents and brokers. A 2026 enforcement trend shows controllers being held liable for the “weak security” of their vendors and downstream processors. Enhanced privacy notices. Insurers must provide a summary privacy notice alongside the full policy, plainly stating categories of data, purposes, lawful bases, disclosure recipients, cross-border transfers, retention periods, data subject rights, and easy marketing opt-out channels. DPO registration and ROPA. All organizations involved in “regular or systematic monitoring of data subjects on