
A Shopify store owner had a $55 order turn into a chargeback for fraud. The owner called the phone number on the order. “I called the number but unfortunately they’re French and I don’t speak French.”[1]
Email went no better. “I tried with google translate over email but it’s difficult and the communications are slow and they play dumb.”[1]
That was a fraud dispute, not a loyal customer’s question. The gap is the same with any customer, though: a store and a buyer who cannot understand each other.
Multilingual customer support closes that gap. This guide covers what it is, whether your customers want it, and which languages to start with. The guide also compares the five ways to offer this support and shows where each one falls short.
I’m Stefano Bertoli, founder of RuleInside. We sell managed AI agents for WordPress stores, so we sell one of the five ways. For this guide I also tested our own demo store’s agent in Spanish, German, French, Polish and English. I report what it did, including where it fell short.
Key takeaways
- In 2025, 74 million people in the US spoke another language at home. That is the Census Bureau’s count of people aged 5 and over.
- Pick your first extra language from your own orders and emails, then measure its results before you add another.
- Of the five help desks whose translation pages I read, only Zendesk’s mentions phone calls, and only to exclude them. The other four do not mention calls at all.
- Test the language of every reply, not only the facts. Our demo agent understood Spanish, German, French and Polish, yet answered 13 of 14 non-English messages in English or Italian.
What is multilingual customer support?
Multilingual customer support means answering customers in their own language, on the channels they use. For an online store, those channels are email, chat, the phone and messaging apps.
It has three parts, and each one can fail on its own:
- Understanding. Someone, or something, reads or hears the question in the customer’s language.
- Replying. The answer goes back in that same language.
- Knowing the answer. Your policies, product facts and order details are right in that language too.
A store can pass the first part and fail the second. The test later in this guide shows that.
How multilingual support differs from translating your website
Translating your product pages helps a shopper read them. Support is a conversation, with a question and an answer about one order or one product. A translated site with English-only support still leaves the shopper stuck at the first question.
The questions themselves do not change with the language. They are the same ones every store gets: where is my order, when will it arrive, how do I return it, will it fit. Our guide to customer support for ecommerce covers those questions and who should answer them.
Bottom line: multilingual support means understanding the question, replying in the customer’s language and getting the facts right.
Do your customers want support in their own language?
Many do, and every survey below points the same way. How much language changes what people buy is less clear.
76%
of online shoppers prefer to buy products with information in their own language.[2]
CSA Research, 2020
75%
of consumers say they are more likely to buy the same brand again if customer care is in their language.[2]
CSA Research, 2020
22.9%
of people in the US aged 5 and over speak a language other than English at home.[3]
US Census Bureau, 2025
CSA Research published a survey of 8,709 consumers in 29 countries in 2020. Its research focuses on translation and localisation. In the same survey, 40% said they will never buy from websites in other languages.[2] Even 60% of the most confident English readers favour customer care in their own language.[2]
The same survey also shows the other side. Given two similar products, 66% will choose the cheaper one, even without information in their language.[2] So language matters, and price still often wins.
Who speaks another language, in the US and in Europe
In 2025, 74 million people in the US spoke a language other than English at home. That is the Census Bureau’s count of people aged 5 and over.[3] Almost 45 million of them spoke Spanish. About 27.4 million said they speak English less than very well.[3]
In the EU, 32.84% of online shoppers bought from a seller in another EU country, by Eurostat’s 2023 count. The count covers the three months before the survey.[4] The European Commission ran an older survey in 2011. Given the choice, 9 in 10 EU internet users said they always visited a site in their own language. A slim majority, 53%, would accept an English version if theirs did not exist.[5]
Unbabel, which sells AI translation for support teams, ran its own survey in 2021. It found that 68% of consumers would switch to a brand that offers support in their native language.[6] Unbabel sells what its survey argues for, so weigh the figure with that in mind.
Bottom line: most shoppers prefer their own language, and many will still buy in English, so your own data decides.
Which languages should your store support first?
Start with the language your own customers already use most after your main one. You do not need a survey to find it. Your store already holds the evidence.
- Your orders. Look at the billing and shipping countries of the last few months of orders.
- Your inbox. Count the emails and chats that arrived in another language, and the ones answered in English anyway.
- Your analytics. Check your visitors’ countries and browser languages, and where they leave.
- Your returns and disputes. Look for orders where a question went unanswered because nobody shared a language.
A keyword tool records 20 US Google results for multilingual customer support. Of those, 9 say to pick languages from customer data. Only 5 say to measure results by language. Do both. Add one language, then compare its replies, refunds and repeat orders with those of your main language.
A language you sell in is a language you support
If your checkout or your emails already speak a language, customers may write back in it. One store owner in the EU sells in Dutch, German and English. The owner wrote that “review request emails go out in English unless I upgrade and I have to pay for that”.[7]
Another owner’s abandoned cart emails worked, but in one language only: “With an increasing number of international customers canceling at checkout, I’d like to send emails in their preferred languages.”[8]
Check every automatic message your store sends: order confirmations, shipping updates and review requests. Each one invites a reply in its language.
Bottom line: choose your first extra language from your orders and inbox, then measure its results before you add another.
What goes wrong when a store and a customer do not share a language?
Store owners rarely talk about language as a support strategy. They describe one failed contact at a time. I read what store owners wrote about other languages in our library of Reddit posts. I counted 25 people who sell online or work for a store, and wrote as the one answering customers. Here is how many raised each problem:
- Addresses written in another script, such as Japanese or Korean: 8 of the 25.
- Machine translation for one job, such as an address, a chargeback document or one email: 6 of the 25.
- English as the fallback, by sending in English anyway, asking for English or judging it adequate: 4 of the 25.
- A cost, such as a lost sale, a refund or a contact that failed: 4 of the 25.
- Emails the store wants in the customer’s language, but its tool sends in one language: 2 of the 25.
Not one of them described running a whole inbox through a translation tool. The detailed stories of doing that came mostly from vendors and from accounts promoting a product.
“Of course I worry that the translation could get it wrong”
That owner was rewriting Japanese addresses in English for the shipping label. Editing them “seems a bit offensive to my customers”, the owner wrote.[9]
An Etsy seller who ships to Korea and Japan found a fix that respects the customer. The seller runs the address through a translator, checks it, then asks the customer whether it is correct. “It’s easier for them to type a simple yes/no instead of asking them to type out their whole address in English”.[10]
That habit carries over to support. When you work through a translation, confirm the key fact with the customer in a short question.
Bottom line: language gaps show up in addresses and emails, and a short question can catch a bad translation.
The five ways to offer multilingual customer support
There are five ways to answer customers in their language, and you can combine them.
| Way | Languages | The phone | Where it stops |
|---|---|---|---|
| You, with a translator | Any you can paste | No | Your time, and errors you cannot see |
| A bilingual hire | The ones that person speaks | Yes | One shift, then nobody |
| An outsourced team | The ones the provider staffs | If the provider staffs calls | They must learn your products and policies, and see your orders |
| Help desk translation | The tool’s list | Not on the five help desk pages I read | A person still answers each message |
| An AI agent | Its setup and its model’s list | Some | Only as good as its setup and testing |
A hire who speaks the language
A person who speaks your customer’s language can handle tone and detail. In the US, the median pay for a customer service representative was $21.53 an hour in May 2025.[11] That is $44,770 a year. Interpreters and translators earned a median $60,170 a year.[12]
The limit is coverage, not skill. One person covers the hours they work, in the languages they speak.
An outsourced team
Outsourcing companies employ people who speak the languages you need. Of the 20 US Google results for multilingual customer support, 9 cover outsourcing. Five come from outsourcing companies, and two more from firms that broker or also sell outsourcing. Our guide on whether to outsource customer service covers what to ask before you sign. In any language, the team must learn your products and see your orders.
Bottom line: a hire or an outsourced team brings human speakers, but only for the hours and languages they cover.
What does help desk translation do, and where does it stop?
I read the translation help pages of five help desks on 9 November 2026. Each one translates customer messages for your team, and your replies back. A person still writes every answer.
| Tool | What it translates | The limits its page states |
|---|---|---|
| Zendesk | Conversations on its channels | “all Zendesk channels, except voice”; on Team plans and above[13] |
| Gorgias | Inbound and outbound ticket replies | On all its help desk plans; you generate the reply’s translation before you send it[14] |
| Help Scout | Chat messages in its Beacon widget | The Pro plan, for chat.[15] A separate tool, AI Assist, translates text you write, on Plus, Pro and contact-based plans[16] |
| Freshdesk | Ticket conversations, on a button press | Pro and Enterprise; 100 tickets a month per Freddy AI Copilot licence[17] |
| Intercom | Customer conversations, for your team | Regional versions of English, French and German, such as English (UK), cannot be chosen as translation languages[18] |
What the help centres warn about
Language detection needs enough words. Zendesk says no message length guarantees detection, “but longer messages produce better results”.[13] Gorgias says it can detect up to 54 languages, but not from a single word or an extremely short message. Its list shows 52.[19] If a customer writes only ¿Dónde está?, the language may not be detected at all.
Zendesk also warns that incoming chat translations are not saved and run again on reload, “so translation results may vary”.[13] Freshdesk detects only one language in a message that mixes two.[17]
Bottom line: help desk translation lets your team read and reply in other languages, but a person writes each answer.
Can an AI agent answer customers in their own language?
Yes, on chat and email, within each tool’s list of languages. The help centres differ on how the agent picks the language and how many it covers.
- Gorgias AI Agent detects the customer’s language and replies in it, on email, chat and SMS.[20] Gorgias says its AI Agent supports over 80 languages. Gorgias’s AI Agent pages say it can be used with Shopify stores connected to Gorgias.[21]
- Tidio lists 48 languages for its Lyro agent. Tidio says Lyro works in the customer’s language rather than translating to English first.[22]
- Intercom’s Fin detects the language once per conversation and keeps it.[18] If a customer switches language halfway, Fin keeps replying in the first one.
- Zendesk lists 80 languages for its AI agents.[23] You must add and activate each one before the agent answers in it.[24]
How far an AI agent's languages reach
An AI agent’s languages come from its model and from its setup. The setup can narrow them, and our own test below shows why you check. Zendesk puts it plainly: other languages may work, “but we cannot guarantee that an AI agent will be fluent in them.”[23]
Our AI Voice Agent page says the agent detects the language from the customer’s first message. If a store sells mainly into one market, it says we prioritise that language during the build. We then test the agent with the store’s own product names and policy wording. In our own test below, the demo agent followed a switch to Spanish once, then answered in Italian. That test is the part to ask any provider about.
Bottom line: AI agents answer in many languages on chat and email, but only in those their setup allows.
Can an AI voice agent answer the phone in another language?
Some can, with more limits than chat. Google’s top results say little about an AI answering the phone. Of the 20 US results I read, only one mentions an AI answering calls in the caller’s language.
Two of the help desks whose pages I read describe voice AI agents, and both limit who can use them:
- Intercom’s Fin Voice supports 29 languages.[25] It is open only to select Intercom customers who work with its sales team. Intercom says Fin Voice “does not currently detect a caller’s spoken language automatically”.[26] Intercom’s workaround lets callers choose a language on the keypad.
- Zendesk’s voice AI agents are in an early access programme, with 10 languages available. Callers can switch language mid-call by asking, and calls can be routed by number, location or by asking the caller. Automatic detection of the caller’s language is listed as coming soon.[27]
Voice platforms set the outer limit. ElevenLabs says an agent can use every language its text-to-speech model supports.[28] ElevenLabs lists 90 or more languages for its v4 models, and 29 for Multilingual v2.[29]
Why speech is harder than text
A phone call adds a step: the agent must first turn speech into text. In the 2024 evaluation at WMT, the Conference on Machine Translation, speech was the hardest material to translate. The authors say this is likely due to speech recognition.[30] Our guide to voice AI explains how a voice agent handles a call.
Bottom line: some AI voice agents answer in other languages, but check how each one picks the caller’s language.
How good is machine translation in a support conversation?
For the easiest language pair, English to Spanish, the best systems are close to flawless. Across a whole conversation, and in rarer languages, machine translation still slips. Three findings from WMT set the limits.
- The easiest pair is close to solved. In 2024, the best systems for English to Spanish produced “close to flawless translations”.[30] In 7 of 11 language pairs, human translations still scored among the best.[30]
- Rarer languages lag. A 2023 study found ChatGPT behind traditional machine translation for 84.1% of the languages the study tested. The authors found ChatGPT especially weak in what they call low-resource languages, and in African languages. In the study, a low-resource language has 25,000 to 1 million Wikipedia pages.[31] Those were 2023 models, so trust the trend more than the exact figure.
- Conversations are harder than single messages. A 2024 WMT contest had systems translate real customer support chats. The systems translated single messages well, but had room to improve across a whole conversation.[32]
Four of the seven authors of the contest’s report work at Unbabel, which sells translation for support teams. The contest’s chat data was anonymised with Unbabel’s tool.[32] In Unbabel’s own 2021 survey, poor translation quality left 52% of respondents dissatisfied, the top complaint.[6]
Shoppers still prefer their own language, rough or not. In CSA Research’s 2020 survey, 65% prefer content in their language “even if it’s poor quality”.[2]
Bottom line: machine translation handles the easiest language pairs well, so check rarer languages and whole conversations by hand.
What happened when I tested our demo store in five languages?
On 9 November 2026 I wrote to the AI agent on our demo store in Spanish, German, French and Polish. Velàri Skincare is our own demo store, with made-up products, and no order ever ships. I ran one chat in each, and a fifth that began in English and switched to Spanish.
In each single-language chat I asked the same three things: whether a product was in stock, whether it suited sensitive skin, and what the returns policy was. In the fifth, I asked for a person instead of the returns policy.
| Chat | Shopper wrote in | Agent replied in |
|---|---|---|
| 1 | Spanish | English, 3 of 3 |
| 2 | German | English, 3 of 3 |
| 3 | French | English, 3 of 3 |
| 4 | Polish | Italian, 3 of 3 |
| 5 | English, then Spanish | English, then Spanish once and Italian once |
The agent understood every message. Each reply answered the question asked, and the product facts matched the product pages, except one usage tip. The four chats that asked about returns all got the same rule: unopened products within 30 days of delivery.
The language was the problem. Of the 14 messages not in English, one got a reply in the shopper’s language. Nine got English, and four got Italian. The agent also opened every chat with Ciao!
Why the demo answered in the wrong language, and what to test
Our copy of the demo’s setup, dated 24 October 2026, describes an Italian brand and says the agent speaks Italian and English. It also tells the agent to reply in the language of the customer’s latest message. The agent stuck to Italian and English far more often than it matched the customer. So read your agent’s setup, then test what it does.
Ask in each language you sell in. Use real questions: an order, a product, a return.
Check the language of every reply, not only the facts. Our demo got the facts nearly right and the language mostly wrong.
Switch language halfway. See whether the next reply follows.
Send a one- or two-word message. It tests language detection.
Use your own product names and policy terms. Check that the agent keeps them exact.
Ask for a person. Check the language of the hand-off, and who answers next.
Call it, if it takes calls. Test the phone on its own: speech adds a step.
Read the greeting. The first line sets the language the customer expects.
Bottom line: our demo agent understood every message, but answered 13 of 14 non-English ones in English or Italian.
Do you have to answer customers in their language?
One law a store owner has run into is Québec’s. Its Charter of the French language says consumers “have a right to be informed and served in French”.[33] A 2022 section says a business selling to consumers “must respect their right to be informed and served in French”.[33]
One Canadian store owner learned this at checkout. A translation app left the words Credit Card in English. The owner wrote that “someone actually called the OQLF on us one time”.[34] The OQLF is Québec’s French language office. The owner fixed it at once and got off with a warning.
Whether these rules reach a store based outside Québec is a question for a Québec lawyer. This guide does not answer it. None of the 20 US Google results for multilingual customer support names a language law.
Bottom line: if you sell into Québec, read the Charter’s French language rules and ask a lawyer how they apply.
Free download · your next step
Find out whether language is where your store loses customers
The Ecommerce Store Audit is the seven-area sweep I charge for, written out so you can run it yourself.
- Scores service hours, response speed, conversation quality and channels, among seven areas.
- Names the languages you do not speak as one of three places a solid store still loses points.
- Ends with a ranked plan that names the two areas to fix first.
- Starts with a 5-minute, 10-question first pass.
It ignores a great deal on purpose: acquisition, pricing, positioning and your products.
Get My Free Store AuditQuestions Store Owners Ask About Multilingual Customer Support
Multilingual customer support means answering customers in their own language, by email, chat, phone or messaging app. It covers understanding the question, replying in that language and giving the right facts.
For a store, the questions stay the same in every language: orders, delivery, returns and products. Only the language changes.
Bilingual customer support covers two languages, usually your main one and one more. Multilingual customer support covers more than two.
Start with your main language and one more. Add a third only when your orders or your inbox show the demand.
Multilingual customer support matters because many shoppers prefer their own language. In CSA Research’s 2020 survey, 75% said they were more likely to buy again with customer care in their language.
The same survey found 66% will choose the cheaper of two similar products, even without information in their language. So check your own orders and messages before you invest.
An online store should support the language its own customers use most after its main one. Find it in your order countries, your inbox and your analytics.
Add one language, measure its replies and repeat orders, then decide on the next.
Without hiring, you can offer multilingual customer support through help desk translation, an outsourced team or an AI agent. Help desk translation still needs a person to write each answer.
An AI agent can answer on its own, within its languages. Test each language before customers use the agent.
Machine translation is good enough for the easiest language pair. At WMT 2024, the Conference on Machine Translation, the best English to Spanish systems were close to flawless.
It still slips in rarer languages and across whole conversations. Check those by hand, and confirm key facts with the customer.
An AI chat agent can answer customers in their own language, within its list. Gorgias says its AI Agent replies in the language the customer writes in. Tidio lists 48 languages for its Lyro agent.
Test it anyway. Our own demo agent answered 13 of 14 non-English messages in English or Italian.
An AI voice agent can answer the phone in another language, but phone support is less mature than chat. Intercom’s Fin Voice supports 29 languages but does not yet detect the caller’s language automatically.
Ask any provider how the agent picks the caller’s language, then call the agent in each language you sell in.
Test multilingual support by asking real questions in each language and checking the language of every reply. Then check the facts, your product names and your policy terms.
Also switch language halfway, send a one- or two-word message and ask for a person. If you offer phone support, test it with a call in each language.
Multilingual customer support pays off when a real share of your orders or messages arrives in another language. Your own orders and messages will show you.
Start with one language and a low-cost way to answer it. Add more only if replies and repeat orders improve.
How I wrote this guide
Who wrote it. I’m Stefano Bertoli, founder of RuleInside. We sell managed AI agents for WordPress stores, one of the five ways compared here.
How I read Google’s results. Ubersuggest, a keyword tool, lists 20 US Google results for the search multilingual customer support. It last updated them on 29 August 2026. I read all 20 pages on 9 November 2026. A script counted what each page covers, and I read every passage it found.
How I read the sources. I read each source on 9 November 2026. I read CSA Research’s survey in its press release, because the full report costs money. The Census and Eurostat figures came from their official data services. The European Commission survey and the Québec Charter came from the Internet Archive, since the official addresses did not load.
How I read the owners. I searched our saved library of posts from r/shopify, r/ecommerce, r/woocommerce and r/smallbusiness. It runs from January 2024, holds r/smallbusiness from October 2025 only, and was last updated on 18 October 2026. I read each quoted owner’s posting history in a public archive, where the account still exists. Reddit links go to the subreddit, since posts get deleted.
The demo store. Velàri Skincare is our own demo store. I chatted with its agent by text on 9 November 2026, in five chats. I checked each product answer against the product pages; the store has no public returns page.
AI help. I used AI to gather and check the sources and to write the first draft. Every figure is checked against its source.
Updates. I revise this guide when a source changes. The date at the top shows the last real update.
Sources
- A post and two replies by the same store owner, “Charge Back Because of Fraud”, r/shopify, 26 to 28 January 2024. Read the source
- CSA Research, a market research firm focused on translation and localisation, “Consumers Prefer their Own Language”, press release, 7 July 2020. Read the source
- US Census Bureau, American Community Survey 2025 1-year estimates, table DP02, language spoken at home. Read the source
- Eurostat, Internet purchases by origin of sellers, dataset isoc_ec_ibos, 2023. Read the source
- European Commission, Flash Eurobarometer 313, “User language preferences online”, May 2011 (Internet Archive copy). Read the source
- Unbabel, which sells AI translation for support teams, “The Unbabel Global Multilingual CX Report”, 2021. Read the source
- A post on r/ecommerce, 15 April 2026. Read the source
- A post on r/shopify, 13 December 2024. Read the source
- A post on r/shopify, 5 July 2024. Read the source
- A comment on r/shopify, 25 August 2026. Read the source
- US Bureau of Labor Statistics, Occupational Outlook Handbook, “Customer Service Representatives”, May 2025 pay. Read the source
- US Bureau of Labor Statistics, Occupational Outlook Handbook, “Interpreters and Translators”, May 2025 pay. Read the source
- Zendesk, which sells help desk software, “Understanding conversation translation”, help centre. Read the source
- Gorgias, which sells a help desk for ecommerce, “Translate tickets in Gorgias”, help centre. Read the source
- Help Scout, which sells help desk software, “Get Started with Automatic Translations”, help centre. Read the source
- Help Scout, “Use AI Assist in Help Scout”, help centre. Read the source
- Freshworks, which sells the Freshdesk help desk, “Live Translate in Freshdesk”, help centre. Read the source
- Intercom, which sells a customer service platform with the Fin AI agent, “Set up Fin AI Agent’s multilingual support”, help centre. Read the source
- Gorgias, “Languages Gorgias can detect”, help centre. Read the source
- Gorgias, “Set the language AI Agent replies in”, help centre. Read the source
- Gorgias, “AI Agent explained”, help centre. Read the source
- Tidio, which sells live chat and the Lyro AI agent, “Lyro Multilanguage support”, help centre. Read the source
- Zendesk, “Languages supported by AI agents”, help centre. Read the source
- Zendesk, “Adding and managing supported languages for AI agents”, help centre. Read the source
- Intercom, “Deploy Fin Voice”, help centre. Read the source
- Intercom, “Fin Voice FAQs”, help centre. Read the source
- Zendesk, “Announcing multilingual support for voice AI agents (EAP)”, April 2026. Read the source
- ElevenLabs, which sells voice AI, “Which languages can I use with ElevenAgents?”, help centre. Read the source
- ElevenLabs, “Models”, documentation. Read the source
- Kocmi and others, “Findings of the WMT24 General Machine Translation Shared Task: The LLM Era is Here but MT is Not Solved Yet”, WMT 2024. Read the source
- Robinson, Ogayo, Mortensen and Neubig, “ChatGPT MT: Competitive for High- (but not Low-) Resource Languages”, WMT 2023. Read the source
- Mohammed and others, “Findings of the WMT 2024 Shared Task on Chat Translation”, WMT 2024. Read the source
- Québec, Charter of the French language, sections 5 and 50.2, LégisQuébec, updated to 5 June 2025 (Internet Archive copy). Read the source
- A comment on r/shopify, 5 January 2026. Read the source
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