A post by Reuben Mars
When we started Lipa China, our focus was on Africa, helping importers pay their Chinese suppliers easily, securely, and transparently.
But as we grew, it became clear that scaling this corridor required more than understanding African importers. To succeed, we had to understand Chinese exporters and the infrastructure that powers them, and where the gaps lie between the two systems.
First off, Chinese money is not that liquid.
1.) Inside China’s Export Payment System
China’s cross-border payment ecosystem is dominated by a few licensed players:
These platforms are optimized for exporters, not importers. They onboard millions of Chinese sellers, provide compliant accounts, and settle funds in RMB.
The catch:
These platforms are designed for digital e-commerce exports, Amazon, Alibaba, eBay, where documentation is clean, electronic, and aligned with China’s SAFE (foreign exchange) regulations.
Unlike African businesses, Chinese exporters rarely need dollars. Most inputs, materials, labor, logistics are local, so RMB settlement isn’t just convenient; it’s policy-driven.
This model works brilliantly for formal e-commerce trade but barely touches Africa where transactions are informal, relationship-driven, and operationally manual.
2.) Africa’s Reality
In Africa, Hawalas dominate cross-border money flows.
For small importers buying textiles, electronics, spare parts, or building materials, payments are informal. Negotiations and confirmations via whatsapp or WeChat, Money moves via WeChatPay or AliPay, but through a network of agents, brokers, and trust-based relationships that have existed for decades.
These systems are fast, flexible, and low-cost, precisely because they rely on personal trust rather than institutional rules.
At the same time, formal Chinese exporters prefer structured, compliant settlement through platforms like XTransfer, PingPong, or LianLian. They require documentation, predictable processes, and guaranteed RMB delivery.
The result: two parallel systems, one optimized for scale, the other for speed, with no reliable bridge between them.
3.) The Hardest Bridge to Build
Moving money from Africa to China sounds simple, but in practice, it’s one of the most challenging financial bridges to construct.
African currencies and USD transfers are tightly controlled by central banks. Payouts in RMB are restricted to licensed Chinese institutions.
Even with technology, there are walls at both ends:
The opportunity is clear: the market needs a compliant, reliable, and scalable bridge that can safely move high-volume transactions across this corridor.
4.) Strategic Logic
For any African PSP, entering China without the right partnerships is nearly impossible.
You can’t just wire money. You must integrate with licensed Chinese export platforms eg. WeChatPay, Alipay, PingPong, LianLian, WorldFirst, or Sunrate.
That’s where the strategic opportunity lies:
China owns the settlement layer, Africa owns the collection layer. Whoever can build the legal, efficient, and scalable bridge between the two controls this corridor.
5.) Lessons from the Market
This was a defining insight for Lipa China.
Fintech often overestimates technology’s ability to fix complex trade problems. Business people know what matters:
Speed doesn’t mean instant, it means predictable. Trust doesn’t come from UX, it comes from reliability and relationship consistency.
This reframed our rules:
It shifted our thinking from pushing technology to designing a system that aligns incentives, trust, and compliance across borders.
6.) Strategic Execution
Over the past few years, we’ve scaled carefully:
This strategy leverages the strengths of both sides while bridging the gap no one else can.
The Takeaway
Lipa China’s journey is a lesson in strategic pragmatism:
We couldn’t beat the Hawalas on their turf, but by understanding both sides, we built a bridge where they can’t operate. Every failure was an introduction to the real problem we were meant to solve: connecting two systems that were never designed to talk to each other, safely and at scale.
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This post was originally published here.


