This strategy story explores emerging agentic commerce trends, highlighting market diversity, regulatory challenges, trust issues, and responsible implementation strategies.

Across Asia, consumers have become increasingly comfortable letting AI assistants handle everyday tasks, from booking travel to managing schedules.

These agents will not just recommend products: they may compare options, negotiate prices, make purchases, and arrange delivery, often without the customer directly visiting a website or app.​

This transition, referred to as agentic commerce, promises to significantly alter how brands are discovered, evaluated, and chosen. For marketers, the competitive landscape is shifting from traditional e-commerce storefronts into AI-driven, conversational ecosystems where decisions can be executed instantly.

Replacing chatbots with autonomous agents
AI agents act on behalf of customers, orchestrating transactions across platforms and channels without human involvement.

For example, customers could instruct their AI: “find me running shoes under US$150, delivered by Friday,” and the agent would search marketplaces, compare prices and reviews, negotiate discounts, place the order, and confirm delivery details via the customer’s preferred messaging app.

The implication for businesses? To be “discoverable” by AI, business will have to be optimized for AI agent selection: product metadata, pricing, inventory, and loyalty programs will need to be machine-readable and API-accessible.

Asia is often highlighted as uniquely positioned for this shift due to:

  • Mobile penetration rates exceeding 100% in many markets
  • Fluent consumer use of regional super apps, which facilitate AI-driven commerce
  • Cultural comfort with digitalization and automation, creating what some describe as a “zero-wait mindset” where instant, context-aware responses are the norm.

Strategic considerations and market realities

While these trends paint an optimistic picture, several factors warrant careful strategic consideration:

  1. Asia’s markets are diverse, with uneven digital infrastructure and AI maturity. Leading countries like China and India are advancing fast, but many South-east Asian markets remain in early AI adoption phases, hindered by cost, skills gaps, and infrastructure challenges.​
  2. Trust and transparency will be critical barriers. Consumers increasingly demand to understand how AI agents make purchasing decisions, what data is shared, and how preferences are used. Successful brands must embed clear data policies, explainable AI capabilities, and comply proactively with evolving regional regulations.​
  3. AI-driven commerce introduces new risks, including fraud and bias. Reports note rising AI-related fraud cases in Singapore, Thailand, and Indonesia, underscoring the need for robust security and governance frameworks.​
  4. Regulatory environments are fragmented and evolving. Asia’s countries differ significantly in AI regulations, with some markets introducing comprehensive AI laws that will impact implementation timelines and operational flexibility.​

Key strategic steps to consider now
Asian businesses keying up for agentic commerce should consider the following critical factors:

  • Audit product data for completeness, accuracy, and machine-readability to support AI discovery and comparison
  • Invest in conversational commerce and API-driven platforms enabling seamless AI agent transactions
  • Explore AI orchestration to manage end-to-end customer service and fulfillment, potentially reducing human intervention costs while maintaining quality
  • Collaborate closely with AI platform providers to understand integration requirements and secure visibility within their ecosystems
  • Prioritize building trust through transparent AI usage policies and compliance with regional data protection laws

Rethinking agentic customer experiences/loyalty schemes

As autonomous AI mediates more transactions, traditional loyalty programs designed for human engagement face disruption. AI agents will prioritize brands based on integration ease and machine-readable incentives rather than emotional connection alone. Businesses will need to consider:

  • Regional market diversity and varying technological readiness
  • Transparency and ethical handling of AI decision-making
  • Collaboration with AI ecosystems and robust compliance
  • Embracing data-driven agility in pricing, product presentation, and loyalty programs

Businesses that prepare strategically to operate effectively and responsibly within autonomous AI-mediated commerce will likely secure competitive advantages in Asia’s evolving digital economy.