AI Transforms Cross-Border Payments: From Fee Collection to Customer Acquisition

Deep News
2025/09/26

Cross-border payment companies are increasingly leveraging artificial intelligence to evolve beyond traditional transaction processing, positioning AI as the next-generation gateway for international commerce.

Major payment providers including PayPal, PingPong, and Lakala are shifting their strategic focus toward comprehensive localization efforts. These companies are obtaining local licenses, integrating regional payment methods, and enhancing AI capabilities to transform payment services from simple fund transfer channels into sophisticated local operational hubs that enable small and medium-sized merchants to compete effectively in overseas markets.

Industry interviews reveal that merchants now prefer integrated solutions combining payment processing, marketing tools, and data analytics to optimize product selection, pricing strategies, and promotional campaigns.

PayPal's Senior Director and China Sales Head Su Lei reported that 60-70% of Chinese clients have already integrated AI technology to varying degrees. The company anticipates a future dominated by AI-assisted decision-making and AI-recommended shopping experiences.

**Market Fragmentation Intensifies Challenges**

Cross-border merchants continue to face persistent operational challenges including slow fund settlement, high transaction costs, and incompatible payment preferences across different markets. These issues significantly impact overseas operational efficiency.

Regional payment preferences vary dramatically across global markets. In Germany, multiple local non-bank payment channels are essential, while installment products significantly boost conversion rates for high-value transactions above $100-200, aligning with local consumer behavior for premium purchases.

The United States and English-speaking regions primarily utilize credit cards and digital wallets, whereas other regions depend heavily on local channels. Latin American markets show high penetration of "buy now, pay later" models, while Southeast Asian consumers prefer local wallets such as DOKU and Dragonpay.

Keychron keyboard brand founder Paul Tan acknowledged the challenge of adapting to regional trends, noting that while services like Apple Pay and PayPal's installment offerings reflect clear market directions, cross-border e-commerce often lags in implementing these regional adaptations.

Customs data indicates China's cross-border e-commerce imports and exports reached 1.32 trillion yuan in the first half of the year, representing 5.7% year-over-year growth and creating substantial market opportunities for cross-border payment services.

Financial industry analyst Wang Pengbo noted that while maintaining growth in established markets, emerging regions including ASEAN, Latin America, and Africa are attracting increasing numbers of Chinese sellers, driving corresponding payment demand growth. Companies are accelerating global expansion through strategic license acquisitions to enhance transaction efficiency.

Recent developments include HuePay's February launch in Melbourne, Australia, providing localized digital payment solutions for the Australia-New Zealand-South Pacific region. In May, YeePay obtained an MTL state-level payment license in Arizona, followed by Japanese regulatory approval in July. Lakala expanded local currency collection capabilities to Brazil and Mexico during the first half of the year. August saw Payoneer partner with Stripe to upgrade checkout solutions, while PingPong established strategic cooperation with Malaysia's CIMB Bank to provide customized supply chain financing and payment solutions.

These initiatives demonstrate the industry's transition from basic payment services toward intensive cultivation of key markets through local licensing, regional payment method integration, and enhanced localized merchant experiences.

Performance metrics reflect this strategic shift: Lakala's cross-border payment transaction volume and customer base grew 73.5% and 70.4% respectively, while international card payment volumes and customers increased 210% and 72%. YeePay's overseas business achieved rapid growth with first-half GPV exceeding 1.5 billion yuan, surpassing the previous year's total of approximately 1.1 billion yuan. Payoneer's second-quarter small business revenue increased 18% year-over-year, with non-interest operating income reaching record highs.

**AI Reshapes Traffic Entry Points**

AI capabilities have become crucial competitive differentiators. In July, Ant International's merchant payment and digitization brand Antom upgraded its proprietary AI assistant to Antom Copilot 2.0, introducing industry-first AI chargeback processing, AI-assisted payment integration, onboarding, and risk management configuration features to lower operational barriers for small businesses.

September saw PayPal upgrade its "PayPal Global Payment Platform," integrating AI Agent technology to expand AI scenario capabilities including intelligent risk management functions.

Antom General Manager Liu Zheng emphasized the company's focus on building artificial intelligence services beyond payment collection to meet global merchants' practical operational needs.

AI technology penetration among Chinese cross-border merchants is accelerating rapidly. PayPal statistics show 60-70% of Chinese clients have integrated AI technology for applications including cloud-based customer service responses, image generation, and video production.

Su Lei projected that "AI will likely become the next-generation traffic entry point, replacing current search and social media models. On platforms like TikTok and Facebook, many Chinese merchants' promotional videos are now entirely AI-generated."

PayPal's Technology Integration Partner Team Lead Yu Jinsong explained ongoing research into pushing Chinese merchants' product information, brand content, and promotional coupons to overseas AI engines, enabling more precise recommendations of Chinese products when users initiate searches or requests.

Beyond traditional search and active purchasing, the industry anticipates increased AI-assisted decision-making and AI-recommended shopping experiences. Through Agentic Commerce ecosystem development, companies aim to help merchants prepare for next-generation transaction scenarios while exploring AI Agent empowerment for faster market entry.

For example, when users ask AI "I need a hiking pole," the system would inquire about specific requirements: "High altitude or daily hiking? What's your height and weight? Do you need it for snow or glacier conditions?" This AI-assisted shopping experience would directly recommend the most suitable Chinese products.

Current observations show numerous Chinese merchants utilizing AI for marketing video production, reducing filming and editing costs through digital avatars that replace human presenters. These systems generate content in multiple languages with diverse presenter appearances, producing several different videos within seconds.

The business model evolution is significant: previously, institutions earned transaction fees when merchants completed sales. Now, institutions use AI to help merchants find customers and facilitate transactions, enabling merchants to increase revenue while expanding the overall market size.

Future integration of payment platforms' product catalogs with AI search capabilities could fundamentally transform cross-border e-commerce customer acquisition. Traditional methods required merchants to invest in advertising or keyword optimization, essentially waiting for customers to visit their stores. AI now actively identifies consumers with genuine needs and delivers products directly to target customers, potentially reducing customer acquisition costs for small and medium-sized merchants.

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