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Jinxi International Glomart Model: Reconstructing a new way of cross-border e-commerce

The cross-border e-commerce industry has entered a new phase. Glomart—a cross-border international ecosystem marketplace under Jinxi International—is garnering attention for its combined model of "AI digital human livestreaming + PCDN computing power + capitalization pathway" and is working to build a new type of cross-border business system.

The cross-border e-commerce industry has entered a new stage in the past two years.
In the past, merchants’ model of fighting for low prices, fighting for traffic, and fighting for investment flow has become increasingly difficult to succeed. Many merchants have found that even though orders are still growing, they find that profits are getting thinner and operations are getting heavier.

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On the other side, a number of new cross-border platforms are rising rapidly.
Among them, the Glomart cross-border computing power international ecological mall under Jinxi International has begun to attract more and more industry attention because of its combination model of “AI digital human live broadcast + PCDN computing power + capitalization path”.
As a core platform developed and operated by Key, Glomart is not just a cross-border e-commerce mall in the traditional sense, but is trying to create a new cross-border business system that revolves around “transactions, data, computing power, and capital.”

1. Cross-border e-commerce is moving from “traffic competition” to “system competition”

The dilemma of cross-border merchants: streaming costs are rising, live broadcasts are becoming more and more popular, and profit margins are being continuously compressed.
A large number of small and medium-sized sellers have begun to fall into the dilemma of having turnover but no profit.
In the past, cross-border e-commerce relied on poor information. Whoever does it first, whoever can invest in it, and whoever can distribute goods quickly can make money.
But now, the industry is becoming more and more mature, and what really determines the results is efficiency and system capabilities. Who can continuously and stably generate conversions, who can effectively reduce operating costs, and who can accumulate real operating data will be more likely to escape.

2. Why is AI digital human live broadcast becoming a new trend?

Live broadcast e-commerce has been popular for many years, but in recent years, the problems of live broadcast have become more and more obvious.
Over-reliance on live anchors, live broadcast time is limited, labor costs are getting higher and higher, data is unstable and difficult to copy.
The emergence of AI digital human live broadcast is changing this.
Through the AI-driven hyper-realistic digital human system, 7×24-hour continuous live broadcast, multi-language interaction and standardized content output can be achieved.
Compared with the traditional live broadcast mode, the biggest advantage of AI digital human live broadcast is not only to save costs, but also to make the conversion stable and replicable.
Jinxi International regards AI digital human live broadcasting as one of its core business directions, which is essentially solving the problem of cross-border e-commerce’s continuous transaction capabilities.
Because what is truly valuable is not a live broadcast that sells a lot of orders, but long-term stable profit data.

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3. Why has PCDN computing power become the underlying capability of cross-border e-commerce?

In addition to conversion issues, cost structure is also another aspect that determines profit margins.
Especially as live streaming, e-commerce, and content distribution continue to grow, the bandwidth and computing power costs of the traditional IDC model are getting higher and higher.
The PCDN distributed computing model provides a new solution.
Through distributed node scheduling, PCDN can effectively reduce bandwidth and content distribution costs while improving overall transmission efficiency.
Compared with traditional modes, PCDN is lighter, more flexible, and more suitable for high-frequency content scenarios.
Jinxi International’s deployment of PCDN computing power is not to do technology alone, but to provide underlying support for the entire AI live broadcast and cross-border ecology.
Because only when costs are reduced can the business model truly have the possibility of continuous expansion.

4. What is the difference between Glomart and traditional cross-border platforms?

Many platforms solve transaction problems.
But Glomart is more concerned about after the transaction.
As the core ecological platform of Jinxi International, Glomart not only carries commodity transactions, but also simultaneously integrates capabilities such as AI product selection, cross-border settlement, data management and system optimization.
Simply put, its core logic is to allow every transaction to enter the system cycle.
Transactions generate data, data optimizes operations, and operations continue to amplify transactions.
Ultimately, a closed loop of “transaction→data→optimization→growth” is formed.
Under this model, cross-border e-commerce is no longer just a single sale, but has gradually formed a replicable, sustainable, and scalable system capability.

5. Why are more and more people paying attention to Jinxi International?

The reason is simple: the industry has entered an era of refined operations.
A truly competitive platform in the future must not be a platform that only sells goods, but must also have: AI capabilities, computing power, system capabilities, and capitalization capabilities.
Now Xixi International is trying to open up this entire link.
From AI digital human live broadcast to PCDN computing power; from Glomart platform to capital incubation path.
In essence, they all revolve around one thing: allowing cross-border e-commerce to move from earning price differences to “earning efficiency, data, and long-term value.”
The second half of cross-border e-commerce may have just begun.

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