AI assists export sales: How small and medium-sized enterprises can build an all-weather transnational order-taking engine
This article was originally published in “Economic Daily (opens in a new tab)”.
In an era of global supply chain reorganization and rapid changes in cross-border commerce, just attending exhibitions and sending product catalogs is no longer enough to smoothly go overseas and receive orders.
Export sales teams are facing multiple challenges: buyer behavior is fully digitized, customer acquisition costs are rising, and there are also barriers to cross-border language and cultural communication. We can no longer go back to the days when we could rely on a thick product catalog and attending a few exhibitions a year to receive orders.
Fortunately, with the maturity of AI and digital marketing tools, small and medium-sized enterprises and export sales teams also have an arsenal that allows small teams to exert great influence, and can build an all-weather transnational order-taking system.
I previously organized a round of Five AI Situations Most Commonly Used by Export Sales Teams at a lecture by the Foreign Trade Association, ranging from market selection, finding buyers to exhibition follow-up. This article wants to take a higher perspective and talk about how to string together the entire order-taking process.
The first step: Find the right person first, not GF Development Letter
The first step in traditional export sales is often to rely on GF Development Letter. This approach is not only inefficient, but also a waste of budget.
Through search and analysis tools combined with AI, the export sales team can sort out the keywords and consumer pain points that have recently experienced a surge in search volume in the target country in a few minutes, and use data analysis tools to analyze competitors’ traffic sources and advertising strategies.
A more critical step is to input the background information of past customers into the AI system to quickly draw an ideal buyer profile (Persona) and help the team accurately locate target customers who truly have purchasing decision-making power. Regarding How to use AI to make user portraits more accurate, I have previously written a relatively complete article.
The value of this is not in saving time, but in changing the order of development. In the past, letters were sent first and then screened; now, letters are screened first and then letters are sent. The same manpower, the hit rate is completely different.
Multilingual content: from expensive translation agencies to instant localization
The biggest pain points in cross-border marketing are slow content production and inefficient multi-lingual communication.
In the past, hiring multi-language copywriters or entrusting translation agencies was quite expensive. Nowadays, through advanced large-scale language models and setting localized marketing scenarios, it is possible to produce copywriting in various countries that conforms to local business habits and culture.
Paired with generative visual and video tools, the team can generate international product situation diagrams and even multi-lingual briefing videos in a very short time, significantly lowering the threshold for producing multimedia materials.
Coupled with search engine optimization tools to continuously produce high-quality content, you can effectively improve your company’s ranking on search engines and attract global buyers to take the initiative. In recent years, there has been an additional layer to consider: buyers are increasingly asking AI directly instead of looking through search results themselves, so can content be found and cited by AI is becoming a new required course.
It is worth reminding that machine translation and localization are two different things. The former only replaces words, while the latter replaces expressions. When talking about product advantages in the same sentence, when talking about purchasing from Germany and talking about traders in the Middle East, the emphasis should be different. This level of judgment still has to be made by people who are familiar with the market.
Upgrade extensive development letter to customized development
In terms of proactive customer acquisition, modern digital tools can upgrade the past extensive development information to truly customized development.
Business personnel can use the business social platform to accurately screen potential buyers, and let AI analyze the target company’s official website information to automatically generate customized opening remarks that address the other party’s pain points, greatly increasing the open rate and response rate of letters.
The difference here is whether the recipient of the letter can tell in the first three lines that “this letter is addressed to me.” In the past, to do this, you could only write a few letters in a day; now you can process a whole batch in one morning, and each letter is different.
Of course, the premise is that your prompt words must be written correctly. For the same model, supplement the four items of role, task, context and format, the development letter produced will be much different from the default state.
Time difference no longer equals loss
There is a time difference between European and American buyers and Asian buyers. The AI customer service embedded in the official website and combined with the company’s internal product database can instantly answer buyers’ questions about specifications, certifications, minimum order quantities, etc. late at night, and leave contact information.
After these inquiry data are imported into the customer relationship management system, the system can score business value based on the buyer’s browsing behavior, allowing the business team to focus on following up on high-intent customers to achieve ultimate conversion efficiency.
In other words, your official website changes from a static catalog to a business assistant who never gets off work. It is not responsible for closing the transaction, but it is responsible for preventing willing people from closing the page in the middle of the night and never coming back.
This is also where the service capabilities of small and medium-sized enterprises can be completely upgraded: from passively waiting for someone to ask questions, to someone who can answer questions at any time.
Two examples of actual transformation
There are many precedents for successful transformation of this digital model.
Take a traditional hand tool manufacturer in Taichung as an example. In the past, it relied heavily on overseas exhibitions. Facing the decline in exhibition efficiency in recent years, the team has introduced AI-assisted search engine optimization and multi-lingual marketing content production, coupled with automated customer development tools. Without increasing manpower, the number of online inquiries from European and American markets tripled within one year, and it successfully penetrated the supply chain of small and medium-sized wholesalers that had been difficult to reach in the past.
Another example is a high-tech electronic components manufacturer. They introduced AI customer service combined with a knowledge base on the official website, and used it with the automatic scoring of business opportunities in the customer relationship management system to solve the problem of customer loss caused by cross-border time differences. They shortened the first follow-up time for overseas potential customers from an average of 12 hours to five minutes, and the overall inquiry conversion rate increased significantly by 40%.
What these two cases have in common is very clear: they did not increase the number of staff, but changed the order of the process and the speed of response.
Implementation path: step by step in three stages
If export companies want to implement this system, they should adopt a step-by-step strategy and do not have to do it all at once.
In the early stage, equip the team with generative tools and establish a standard prompt vocabulary to optimize the writing process of development letters and product specifications. The point of this step is not to buy the most expensive tool, but to let the team first accumulate reusable prompt word assets.
**In the mid-term, the English official website will be reconstructed and combined with search engine optimization and active development tools. ** The official website is the final landing point for all traffic. No matter how well you do it, you will not be able to retain people if it lands on a website that has not been updated in ten years.
In the later stage, the customer relationship management system will be fully opened to realize full-chain data automation from traffic guidance, inquiry collection to business follow-up. At this point, you truly have an engine, not just a set of tools.
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Write at the end
The essence of export sales has not changed: you still have to find the right buyer and explain clearly what problems you can solve for him in words he can understand.
What has changed is that in the past, these three things required a whole team to do them separately, and each step was very slow; now a small team equipped with the right tools can string together the entire process and run it around the clock.
The tools will keep changing, but the real threshold is always the same: how deeply you understand your customers. AI can help you write letters faster, translate copy more authentically, and answer inquiries in the middle of the night, but you still have to think clearly about what to sell, who to sell to, and why it is you.
Just start with a market, a language, and a library of prompts. The engine wasn’t installed in a day, but once it starts running, it won’t stop waiting for you.
Next step
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Vista Cheng speaks and runs workshops on AI workflows, writing and content systems for companies, schools and public agencies.
