YundaDeskServe customers in whatever language they speak
No need to hire an agent per language. AI detects the customer's language and answers natively from a single knowledge base; after handoff, agent assist translates the conversation both ways in real time — one agent covers languages they don't speak, and answers stay consistent in every language.
The more languages, the worse the traditional math gets
Hiring per language doesn't scale
Customers write in a dozen languages; no team can staff each one, and night-shift language coverage is even harder.
Translation tools live outside the inbox
Agents copy-paste between the chat and a translator — slow, error-prone, wrong-thread accidents, and product terms come out wrong.
Answers drift across languages
The same question gets one answer in English and another in Spanish; raw machine translation ships unreviewed and brand voice unravels in smaller languages.
One knowledge base, the same answer in every language
Automatic language detection
AI answers in whatever language the customer writes — no language picker, no per-language flows to build.
Single-source knowledge base
Answers in every language generate from one knowledge base — edit once, effective everywhere, no per-language forks.
Two-way real-time agent translation
After handoff, customer messages arrive with a side-by-side translation; agents reply in their own language and it's translated back — all inside the inbox.
Humans stay in the loop
Uncertain cases and human requests hand off by rule, with context and translations carried over; high-risk actions still require human approval.
From a Spanish inquiry to a Chinese-speaking agent — language stays invisible
A Spanish-speaking customer asks about shipping on WhatsApp
AI detects language and intent, answers in Spanish straight from the knowledge base — routine questions end here.
The customer follows up with a tricky customs question
Handoff rules fire; the conversation enters the agent queue with full context and side-by-side translation.
An agent takes over in their own language
They read the translation, type in their language, and the system sends it back in Spanish — the customer never feels the switch.
Corrections compound
Agent fixes to translations or answers enter the learning review queue; once approved, they take effect across every language.
Capabilities behind multilingual support
Multilingual support questions
Which languages are supported?
AI answers and two-way translation cover the major commerce languages — English, Spanish, Portuguese, French, German, Arabic, Russian, Japanese, Korean, and Southeast Asian languages among them. Customer language is detected automatically; there's no language list to preconfigure.
Can we trust machine translation quality?
There are two safety layers: AI answers generate from your knowledge base rather than raw translation, so product terms follow your wording; and after handoff, agents see the original plus the translation and can edit before sending — mistakes get caught before they ship, not after.
Do we have to rewrite the knowledge base for every language?
No. You maintain one knowledge base; AI generates answers in the customer's language. Edit any answer once and it takes effect in every language.
Can agents who only speak one language handle multilingual conversations?
Yes — that's the core agent-assist scenario: customer messages arrive with side-by-side translation, the agent types in their own language, and the system sends it back in the customer's language, all in one reply box.
Will customers notice they're talking to a translation system?
AI answers are generated in native phrasing rather than word-for-word translation, and agents can polish outgoing text before sending. What most customers perceive is "this store has support in my language," not "I'm chatting with a translator."
Make language a detail, not a barrier
AI catches routine questions in the customer's language first; agents handle the conversations that matter with translation at their side — expanding languages no longer waits on hiring.