It was learned on June 16 that Amazon Global Store Asia Pacific Innovation Center recently released the “2026 China Export Cross-Border E-commerce Development Trend White Paper”. This is also the eighth year that Amazon Global Store has released this series of annual “White Papers”.
This year’s “White Paper” takes “AI Reshaping the New Paradigm of Going Global” as its theme, and proposes that the structural opportunity of “AI-driven cross-border e-commerce globalization” has arrived. It also provides an in-depth analysis of five major AI application trends, providing valuable references for sellers to quickly, deeply and systematically apply AI, and then use AI to accelerate the layout of the “next-generation cross-border chain” – global sales from the first day, and build a global business layout from the first day.
From single-point tools to agent collaboration, AI promotes operational automation
The application of AI by leading cross-border e-commerce companies is evolving from single-point tools to agents that can independently reason, plan and act, and even to multi-agent interaction and collaboration operating systems.
Take the cross-border beauty brand MelodySusie as an example. The brand has combined AI agents with the Amazon Advertising API to build a full-link advertising automated agent system, which not only covers five independent capability modules: intelligent cold start, scenario-based delivery, closed-loop optimization, risk control circuit breakers, and special promotions, but has also achieved over 90% automation of operations and execution. While driving substantial growth in revenue, the advertising input-output ratio (ACOS) is only 1/3 of the industry level, and the conversion rate has increased by nearly 40%.
This trend is not unique. Amazon research shows that more than 98% of Chinese sellers surveyed are already using AI tools when running Amazon stores, and 16% of them have advanced from single-point AI tools to deploying AI workflows or agents to automatically perform multi-tasking.
From data insights to execution recommendations, AI upgrades decision-making to intelligence
Faced with complex decisions in various operations such as pricing, product selection, and replenishment, AI is assisting sellers to turn judgments that relied heavily on personal experience or hard-to-interpret big data in the past into scientific decisions that are quantifiable and verifiable.
Taking Amazon Seller Assistant as an example, it can analyze data, predict trends, provide suggestions in multiple fields such as inventory and logistics optimization, account health management, compliance analysis, potential new product insights, advertising and marketing optimization, and execute the seller’s decisions with the seller’s permission. The seller always maintains control and helps sellers start, manage and develop their business around the clock like a real assistant.
In 2025, the number of monthly users of Amazon Seller Assistant will exceed 230,000, and the adoption rate of sellers’ acceptance of its suggestions will exceed 90%.
TOPDON, which is deeply involved in the field of automotive intelligent diagnostic technology and equipment, has established an AI decision-making partner system based on the deep integration of its self-developed big data platform and Amazon seller assistant.
Utilizing the AI quantified business opportunity matrix, TOPDON’s new product launch decision-making response time was shortened from days to minutes, and sales of new products exceeded 10,000 units within 3 months of launch.
From product selection competition to category definition, AI drives product innovation
AI is opening up another possibility for product innovation, shifting from the traditional product selection logic of “picking what sells well” to discovering “unmet needs” and then defining and developing new categories. There are three typical paths.
One is to use AI to discover hidden gaps in mature categories.
LiberNovo used AI to find unmet needs in the field of high-end office chairs and created a differentiated functional combination of “bionic backboard + electric adaptive adjustment + active spine support”, which quickly ranked among the top three high-priced products in the category.
The second is to integrate AI functions into products to redefine category capabilities.
Merach, a global home fitness technology brand, is the first fitness AI assistant that integrates tens of millions of exercise samples and an intelligent fitness resistance adjustment system, transforming the equipment from a “fitness tool” to a built-in “smart coach”, and the average training time of users has significantly increased.
The third is a new consumer category native to the AI era.
dnsys boostsuit uses motion sensing and prediction algorithms to create a new consumer-grade smart knee exoskeleton, which is widely used in daily life, hiking, skiing, cycling and other scenarios. It has won three CES Innovation Awards this year.
From local optimization to full-link improvement, AI releases growth efficiency
The penetration of AI in the cross-border e-commerce business chain continues to increase. From the earliest stage of partial application of AI in listing, advertising and other links, it has begun to move towards a comprehensive AI layout in key links such as product selection, content, consumer insights, marketing, compliance, customer service, etc., forming a cross-linked performance system to improve the quality and efficiency of every step of operations.
Game peripheral brand GameSir faces the typical contradiction between scale expansion and resource investment in the process of multi-site expansion. Through the multi-line parallelization of AI tools, GameSir has doubled the number of sites covered and reduced costs by 40%.
More importantly, full-link AI empowerment has evened the gap in operational capabilities and efficiency, creating the possibility for the explosive development of small and medium-sized enterprises and small teams.
The Amazon store of underwear brand ubras is managed by only two people. However, by making full use of Amazon AI tools to improve human efficiency, the two-person team has achieved the operational scale of a traditional 10-person team, achieving rapid cold start and business growth for the brand.
Xingwei Technology is a typical representative of a “one-person company”. AI is not only the company’s efficiency tool, but also the core system for product innovation and business decision-making. It has precipitated a replicable AI product development workflow and has the operational capabilities of a complete brand team from strategy to execution.
From passive compliance to active risk control, AI reconstructs security boundaries
The sustainability of cross-border e-commerce business growth depends largely on the seller’s robust compliance operation capabilities.
AI is transforming compliance risk control from “post-event remediation” to “pre-emptive prevention”: automatic monitoring around the clock, predicting risks in advance, and automatically generating response plans, providing more protection for global operations.
Creality, a 3D printing equipment brand, has deeply integrated Amazon’s AI account health tools to build a proactive account health management system of “prediction-warning-disposal”, which can provide early warning of potential infringements and illegal operations, automatically match local regulations in multiple sites, and assist cross-site compliance and consistency management. When violations occur, AI can also help analyze the reasons for the violations and generate preliminary appeal drafts, achieving normalized and refined management of multi-site account health.
From operational automation and intelligent decision-making to product innovation, efficiency improvement and proactive risk control, AI is reshaping the development path of export cross-border e-commerce with unprecedented depth and breadth.
In this era of “next-generation cross-border chain” based on AI, “building AI capabilities from now on” and “marketing globally from day one” complement each other and jointly empower sellers to successfully embark on the journey of “AI-driven cross-border e-commerce globalization”.
