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Glossary · Customer service and metrics

Multilingual customer support

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2 min read

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Quick definition

Multilingual customer support means helping customers in their own language — on chat, email, messaging or phone — whatever language the support team itself works in.

On this page

  1. 01Why language matters
  2. 02The approaches
  3. 03Pitfalls
  4. 04Multilingual support in AI SmartTalk
  5. 05Frequently asked questions
  6. 06Sources
  7. 07Related terms

Why language matters

Customers buy and ask for help more confidently in their own language. A 2020 survey by CSA Research of 8,709 consumers in 29 countries found that 76% prefer to buy products with information in their own language, and 40% will not buy from websites in other languages. Support is part of that experience: a shopper who cannot ask a question about returns in their language may simply not order.

For European stores selling across borders, that means many languages for a small team — and often languages no one in the team speaks.

The approaches

Native-speaking agents give the best quality but are costly and hard to staff for every language and every hour. Machine translation between customer and agent lets one team cover many languages, with the risk of errors on nuance and technical terms. AI assistants that answer directly in the customer's language, from a knowledge base written in one language, combine wide coverage with immediate answers.

Most businesses mix them: AI for the bulk of questions in every language, translation for agents handling escalated conversations, and native speakers for the main markets.

Pitfalls

The classic error is the assistant that answers in the wrong language: it switches to English because its instructions or examples are in English, or replies in the language of the website rather than of the customer. Another is mixed terminology: a product name, size system or legal term translated inconsistently. Names of products and brands should usually stay as they are. And legal or policy texts may need a reviewed translation rather than an improvised one.

Multilingual support in AI SmartTalk

AI SmartTalk assistants reply in the language of the visitor's message, using a multilingual model and multilingual search, so one knowledge base can serve customers in many languages. The website widget can be restricted to the languages a business wants to offer. In the shared inbox, team members can translate conversations into their own language, and handoff summaries are translated for each reader. The AI SmartTalk interface itself is available in 43 languages.

Frequently asked questions

Do I need a knowledge base in every language?

Not necessarily. With multilingual search and a capable language model, an assistant can answer in the customer's language from content written in one language. Key legal texts may still deserve proper translations.

How accurate are AI answers in other languages?

Major languages are generally handled well by current models; quality can drop for less common languages and dialects. Test with native speakers on real questions before relying on it.

Should agents reply in the customer's language?

Ideally yes. Translation tools in the inbox let an agent read the customer's message in their own language and reply in the customer's language, which is often good enough for practical support.

Sources

  1. [1]CSA Research, Can't Read, Won't Buy – B2C (2020): consumers prefer their own language

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