In the first half of 2026, China's private enterprises recorded RMB 14.53 trillion in imports and exports, representing a year-on-year increase of 17%, according to data from the General Administration of Customs of China. Against the backdrop of continued growth in cross-border e-commerce, Amazon Ads recently released "Five AI Application Trends Among Chinese Cross-Border SMB Advertisers," highlighting how AI is reshaping the way small and medium-sized brands expand into international markets.
1. AI Is Changing How Cross-Border E-Commerce Operates
The report shows that Chinese cross-border SMB advertisers operate an average of four overseas sites, with AI increasingly integrated into advertising optimization, creative generation, and cross-site management. In the first quarter of 2026, the amount of content generated by SMB advertisers using Amazon Ads AI creative tools increased by more than 140% year over year. Among marketing professionals using AI, 79% believe AI has made streaming TV advertising a practical option, according to Amazon Ads insights cited by Success Marketing.
AI is no longer limited to large brands. Small and medium-sized sellers are increasingly using AI to improve efficiency across creative development, advertising management, and data analysis.
2. AI-Driven Cross-Border E-Commerce Depends on Data
High-quality data is an important foundation for AI-powered advertising optimization. Analyzing competitor pricing, monitoring promotional activities, and studying consumer review trends often requires continuous access to publicly available market information from multiple regions.
For cross-border e-commerce teams, websites in different countries and regions may display different prices, inventory information, promotions, and page content. Collecting and organizing this public information can provide valuable data for market research, advertising analysis, and business decisions.
When AI systems process large amounts of data from multiple markets, network stability, geographic coverage, and data access efficiency can all affect the quality of subsequent analysis.
3. How Proxy Networks Support AI-Driven Cross-Border E-Commerce
Dynamic residential proxies can provide network access from different geographic locations. 9HTTP offers residential IP resources covering 200+ countries and regions, with country- and city-level targeting options, usage-based billing, and non-expiring traffic. These features can support data analysis requirements in cross-border e-commerce:
Global Data Collection: Residential IPs from different regions can help access publicly available pricing, inventory, promotional, and product information, providing data for AI-powered advertising optimization and market research.
High-Volume Data Processing: Automatic IP rotation can distribute data requests across different network endpoints, supporting large-scale and continuous data collection workflows.
Regional Data Analysis: Residential IPs from different locations can help teams evaluate publicly available website content, pricing information, and promotional displays across different markets, providing additional reference data for regional market analysis.
For business scenarios that require long-term and stable network access, long-lasting ISP proxies can provide fixed IP options to support consistent sessions and ongoing business workflows.
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4. From Data to Decisions: The Collaboration Between AI and Proxy Networks
Two cases highlighted in the report are worth noting: Brand AAJK achieved a CTR of more than 1% and reduced ACOS to 14% through AI video creative tools, while seller JOGDRC achieved a ROAS of more than 5.2 across different countries through AI-powered multi-market promotion, according to Amazon Ads insights cited by Success Marketing.
These examples demonstrate how AI can process and analyze large amounts of market information. Reliable data access is an important part of the AI decision-making process. As cross-border e-commerce increasingly relies on AI for advertising optimization, market analysis, and operational decisions, network infrastructure has also become an important component of data access and analysis workflows.
Conclusion
AI is accelerating the digital development of cross-border e-commerce, while high-quality data and reliable network infrastructure provide important support for market research, advertising analysis, and business decisions.
By combining AI capabilities with reliable network resources, cross-border e-commerce teams can improve the efficiency of accessing and analyzing market information across different regions, providing a more stable data foundation for advertising optimization and global business development.