AI replies your buyers can actually trust
Every answer is grounded in your real product data. Confident replies go out automatically; anything shaky gets handed to a human — no gambling with your customer experience.
Core features
Buyer messages, answered before you open the inbox
Three places where support time disappears — and how the AI takes each one off your plate.
Mercado Libre questions, answered from real specs
When a buyer asks about size, material, or compatibility, your agent used to dig through spec sheets — or worse, guess. Now the AI answers straight from that product's actual spec data. High-confidence answers send automatically; anything uncertain is flagged for human review instead of bluffed. You stop babysitting the Q&A inbox, and new hires stop improvising answers.
One workbench for all your Shopee chats
Stop hopping between store backends all day. Every Shopee message lands in a single workbench where the AI has already written a draft reply — your agent reads it, tweaks if needed, and sends. The tab-switching, product lookups, and typing are done before a human even opens the chat. People only do the final check.
Bad reviews caught and answered fast
A bad review left hanging only gets angrier. YingQiao pulls negative reviews from every store into one monitored queue, and the AI drafts a reply using that specific order's context — apologizing where it should, offering a fix where it can, and doing it promptly. Nobody has to patrol each store's review page by hand anymore.
How it works
One buyer question, start to finish
The same path every time — and a human is always at the end of it.
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1
A buyer asks
Size, specs, whether it fits their model — every question flows into the system first, instead of sitting unread in a store backend.
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2
The AI pulls that SKU's data
Spec sheets, FAQs, and after-sales policies are looked up by SKU. The answer comes from your real product data, not from the model's imagination.
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3
Confidence check
If the answer is solidly backed by your data, it sends to the buyer automatically. If the data can't support a clear answer, the AI does not bluff.
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4
Uncertain means human
Shaky replies go to a review queue where your agent confirms or edits before sending. Whatever the AI can't cover, a person always does.
Knowledge base
It answers well because you feed it the real thing
The AI is only as good as its source material — so YingQiao makes the source material yours.
Feed it specs, FAQs, and policies
Load your spec sheets, common Q&As, and after-sales policies into the knowledge base. That knowledge used to live in scattered spreadsheets and group chats where new agents had to ask the veterans. Now the AI and your whole team read from the same source.
Organized by SKU
Knowledge is attached per SKU. When a buyer asks under product A, the AI reads product A's data — it will never quote product B's dimensions. Messy catalogs stay straight.
VYRON after-sales knowledge base
A dedicated knowledge base for after-sales scenarios — returns, installation, troubleshooting. Post-purchase questions get proper after-sales answers instead of recycled sales talk.
Built-in safeguards
Not bluffing is a design decision
The whole system is built around one rule: a slow answer beats a wrong one.
Every line is backed by data
The AI only answers from the product materials you provide. If something isn't in the data, it doesn't make it up — it escalates.
Unsure? It hands over
Low-confidence replies are routed to your team automatically. We'd rather the buyer wait a moment for a human than get a confident wrong answer.
A human stays in the loop
Shopee chats are AI-drafted and human-approved. Mercado Libre answers only auto-send when the AI is confident; everything else passes through your agents first.
FAQ
Questions sellers actually ask
Will the AI make things up and cost me customers?
No. It answers strictly from the knowledge base you feed it. When it can't find a supported answer, the question goes to a human agent instead. The rule is simple: when in doubt, hand it over.
I have lots of SKUs with messy specs — can it keep them straight?
Yes. Knowledge is managed per SKU, so the AI always reads the data for the exact product the buyer is asking about. Specs never cross between products.
Won't auto-replies to bad reviews sound like a template?
Each reply is written with that order's context — what was bought and what went wrong — so the response addresses the actual situation instead of pasting a generic apology.
Does my support team have to change how they work?
They do the same job with fewer steps. Shopee messages arrive in one workbench with a draft already written; agents review and send. The backend-hopping, product lookups, and typing are gone — the judgment stays human.
Talk about your stores?
Reach us on WeChat or phone. We check fit first — no hard sell.
Contact us