RM新时代有限公司

CloudWalk Technology has introduced an AI Marketing Team for cross-border e-commerce. Combining AI infrastructure, an agentic operating system and professional growth operations expertise, the business explores a new approach to product marketing and business growth through collaboration among multiple AI agents.

The business serves cross-border brands and manufacturers, providing ongoing AI marketing services across market intelligence, product optimization, content production, advertising and business analysis.

As competition in cross-border e-commerce intensifies, a growing number of SKUs, increasingly granular advertising campaigns and more frequent content updates are placing greater demands on operational efficiency.

Traditional operations rely on continuous manual analysis and execution, making it difficult to cover large numbers of products and advertising campaigns simultaneously.

CloudWalk’s AI Marketing Team assigns high-frequency tasks to specialized agents, while growth experts oversee strategy, budgets and key decisions. This approach aims to extend the reach of operational capabilities and make them more reusable.

From AI Infrastructure to the AI Marketing Team

The AI Marketing Team represents a further application of CloudWalk Technology’s “AI infrastructure + AI agents” strategy to business growth.

At the foundational layer, Yunqi Model Hub provides unified model access, Token invocation and service management, allowing different business functions to use large models on demand.

At the middle layer, Xingyun Agentic OS organizes collaboration across multiple agents, while Mofang Agent Lab turns marketing methods, business processes and professional expertise into reusable agents and Skills.

At the business application layer, specialized agents for market intelligence, product analysis, content generation, advertising and performance analysis work together as the AI Marketing Team.

This architecture connects model invocation with specific business tasks. As the number of products, marketing tasks and content requirements grows, the AI team can access model capabilities according to business needs and accumulate operational experience through execution and review.

Validating Business Value Through Actual Operating Results

In cross-border e-commerce operations, the relevant professional team has accumulated case experience across multiple product categories.

In one 3D printing category case, GMV grew by 56% year on year and market share increased from 8.60% to 10.82%. In a small kitchen appliance case, return on ad spend (ROAS) rose from 3.92 to 9.17, while overall average daily unit sales increased by 27.4% within two weeks.

These operating cases provide practical methods and business scenarios for CloudWalk’s further exploration of the AI Marketing Team.

By combining professional operations experience with agent technology, CloudWalk aims to gradually automate high-frequency operational tasks, standardize professional expertise and scale marketing services, while continuing to validate results in actual customer businesses.

CloudWalk’s AI Marketing Team currently combines AI agents with growth experts. Enterprises can begin with a single store and gradually expand the scope of services according to their operating needs.

By extending model and tool services into AI teams focused on business objectives, CloudWalk Technology is exploring new paths for the commercialization of artificial intelligence.

The company will continue to build on Yunqi Model Hub, Xingyun Agentic OS and Mofang Agent Lab to refine its AI marketing capabilities in real business settings, offering cross-border e-commerce enterprises more flexible, manageable and measurable intelligent growth services.