In 2026, cross-border e-commerce has entered a new stage of competition at the computing power + AI level.
In the past few years, the cross-border e-commerce industry has experienced a period of rapid growth, but the way of growth is undergoing fundamental changes.
In the early days, cross-border e-commerce was driven by traffic dividends, but now it is entering a new stage, that is, whoever can build a business into a system has the ability to continue to grow.
Amid this change, new platforms represented by Jinxi International are trying to give different answers.
The core logic of traditional cross-border e-commerce revolves around traffic, including acquiring traffic, converting traffic, and amplifying traffic.
However, as customer acquisition costs continue to rise and user attention continues to be distracted, the marginal effect of this model is weakening.
More and more companies are discovering that it is difficult to form a stable and replicable growth structure solely driven by traffic.
At the same time, the development of AI and computing power has provided the industry with new possibilities—replacing manpower with systems and hedging costs with efficiency.
Revolving around this trend, Jinxi International has built a collaborative system with AI, computing power and capital as the core, and implemented it through the Glomart platform.
The Glomart platform is a new cross-border e-commerce platform developed and operated by Hangzhou Jinxi Shuzhi Technology Co., Ltd., a subsidiary of Jinxi International.
Let’s break down the layout of Jinxi International in detail.
At the front end, AI digital humans assume the core role of transaction and content output.
Compared with the traditional model that relies on anchors, AI can achieve continuous operation 7×24 hours, stably complete content production and conversion in different markets and different time periods, and enable transactions to be replicated on a large scale.
In the middle platform, the distributed computing power network serves as the underlying support.
Through technical paths such as PCDN, computing resources can be dispatched more efficiently, significantly reducing bandwidth and computing costs, thereby supporting high-frequency business operation and cross-market expansion.
At the back end, the capital system provides further room for business expansion.
Based on real transaction data and profit models, the platform gradually opens up the path from operation to capitalization, allowing cross-border e-commerce to move from making profits to forming assets.
As the core platform of Jinxi International, Glomart is responsible for the actual operation function of the entire system.
Within the platform, product selection, trading, settlement and data management are integrated into one, forming a closed loop of “transaction → data → optimization → amplification”.
Each transaction not only brings revenue, but also accumulates into reusable data assets for continuous optimization of business.
This structure makes growth no longer dependent on a single burst, but based on the continuous operation of the system.
From the perspective of industry development, single-point capabilities (such as traffic, product selection, supply chain) can be quickly copied, but system capabilities have higher barriers.
Jinxi International’s attempt is essentially to open up several key links: using AI to solve growth and transformation problems, using computing power to solve efficiency and cost problems, and using capital to solve value amplification problems.
When these capabilities form a closed loop, growth no longer relies on a single variable but is driven by the system as a whole.
Cross-border e-commerce is entering a new stage of competition: it is not who is better at investing, but whose system is more efficient, stable and replicable.
The model built by Jinxi International and Glomart provides a new direction to transform business from people-driven to system-driven.
