Cross-Border E-Commerce: Alibaba Is Rebuilding the Business with AI

A while back, I had dinner with a friend who runs a cross-border e-commerce business. He poured out his frustrations: his shop operates in three countries, so product pages have to be written in three languages, customer service has to be staffed across three time zones, and the biggest headache is returns. Goods travel all the way back across the ocean, and the shipping sometimes costs more than the products are worth.

Half the effort in this business, he said, goes into fighting "friction."

Listening to him, I thought of something I'd come across recently: Alibaba's International Digital Commerce Group has welded generative AI straight into its cross-border workflow. Translation, content creation, returns handling — the three most grueling jobs, all handed to AI.

How big is this operation? 300 million consumers a year, 1 million merchants. In financial reports it has previously published, single-quarter profit grew more than 44% year over year.

That's no small business. So why is it still pouring so much effort into AI?

Because it had no choice.

A Fight It Was Forced Into

What do I mean by "forced"?

Think about it: over the past few years, everyone in cross-border trade has come to know two dark horses — Shein, and Temu, the marketplace run by Nasdaq-listed Pinduoduo. On sales and growth, both have been outpacing Alibaba's international arm at every turn.

The top spot has never been a fixed seat.

Compete on price? Can't — keep squeezing and there's nothing left. What road remains? A different kind of efficiency: do more business with less effort.

AI is the bet it has placed on "less effort."

Where exactly is that bet placed? On three things. Let me start with the most grueling.

The First Job: Translation

The first wall in cross-border business is language.

If buyers can't read your product page, they won't order. If sellers can't understand buyers' questions, they can't take the order. How did people cope before? Hire translators — expensive. Make do with translation software — so stilted it screams "machine translation," and buyers click away the moment they read it.

What does it mean for generative AI to handle translation? Product descriptions, buyer reviews, customer-service Q&As — all translated in real time, and in language that actually sounds human.

Picture this: a Chinese seller lists an insulated tumbler in the morning; by noon, German buyers are reading a smooth, natural German page.

The wall of language has gotten shorter. And every inch the wall drops, business moves a foot closer.

The Second Job: Content

E-commerce is, at its core, a content business.

Product pages, ad creatives, sales copy — every piece needs a human to write it. Writing one isn't hard. What's hard is selling into ten markets, which means producing ten versions — and endlessly revising them to match each promotion cycle.

That's the job AI takes over: it digests your existing data and trends, and turns out one presentable piece of copy after another. Each takes minutes. What merchants get back is time — and time is life.

And it never takes a day off, never complains of being tired. List 500 SKUs and it writes 500 listings, all in a consistent voice.

That kind of efficiency is scary.

Content used to be a big seller's privilege. Now small sellers can afford it too.

The Third Job: Returns

This one gets the least attention, but I think it's the most valuable.

Cross-border returns are a notoriously muddy swamp. Shipping out is easy; shipping back means tangled logistics, long cycles, and high costs — so high that many sellers simply throw in the towel: "We'll refund you. Don't bother sending it back."

How does AI solve it? Start with the data. Which products, which regions, which seasons run the highest return rates — it can work out the patterns. Then it sets policies and lines up logistics accordingly, shaving processing time down bit by bit.

Every bit the returns experience improves, buyers grow a bit braver about placing orders.

In cross-border commerce, nothing is more precious than a buyer willing to place the order.

Thinking One Layer Deeper

Translation, content, returns — they look like three features, but they're really one thing: dismantling the friction of cross-border business, inch by inch.

Zhang Kaifu, a vice president at Alibaba International Digital Commerce, previously said at the Reuters Next conference: when it comes to AI innovation, China and the United States are on equal footing.

His peers may not all love hearing that. But widen the lens a little: in recent years, AI models in the global open-source community have been leapfrogging one another, sharing their breakthroughs, and the pace of progress is visibly accelerating.

Technology runs without regard for borders; geopolitics keeps throwing up checkpoints. Tension on one side, innovation on the other — and neither has let up.

What Comes After the Tools Is What Counts

With the tools live, the story is only half told.

Next will most likely come sharper personalized recommendations, smarter AI-powered customer service, finer-grained logistics scheduling.

But there are two things to keep a firm grip on as adoption grows: user privacy and data security. Trust takes years to build — and one stumble to bring down.

Merchants don't need to overthink it. Just ask one question: can the effort you save go into a genuinely better product?

If yes, it's worth using.

Back to That Dinner

Later in the meal, I told my friend: those three things giving you headaches — someone has already taken them apart with AI.

He paused for a beat, pulled out his phone, and started taking notes.

You see, what does a technological revolution look like? It hides in an ordinary seller's phone: the moment he realizes that the work he burns the midnight oil on is now done faster and better by a machine.

That's leverage.

Here's to finding your own leverage, too.