SaaS Customer Service Platform

Yitu AI Customer Service

AI-Powered Omnichannel Customer Service Platform

Yitu AI Customer Service is a SaaS-based AI customer service platform supporting unified multi-channel message integration. It provides AI auto-reply, knowledge base management, ticketing system, and data analytics — a complete customer service suite. Multi-tenant architecture supports enterprise-level team collaboration with flexible usage-based billing.

AI Customer Service
C
Hi, I'd like to know about your return process
Hello! Returns are simple: Log in → My Orders → Select item → Request return → Fill in reason → Await approval. We'll process within 1-3 business days after approval.
AI
C
Can I speak to a human agent?
Transferring you to a human agent, please hold...
AI
6+
Channels
85%+
AI Auto-Resolution
<1 sec
Avg Response
200+
Businesses Served

How It Works

1

Connect Channels

One-click connect to WeChat, WeCom, Feishu, Douyin and more, or custom integration via API

2

Configure Knowledge Base

Import product docs and FAQs, train the AI chatbot, and set auto-reply rules

3

Start Serving

AI handles common questions automatically, complex issues seamlessly transfer to human agents with full analytics

Features

From channel integration to data analytics, Yitu AI Customer Service provides complete customer service capabilities

AI Auto-Reply

LLM-powered intelligent auto-replies based on knowledge base — accurately identifies customer intent and responds to common questions in seconds

Unified Multi-Channel

Integrates WeChat, WeCom, Feishu, Douyin and other major channels — manage all messages from one dashboard

Human-Agent Collaboration

Flexible agent assignment strategies with queuing, transfer, and session takeover — seamless AI-human teamwork

Knowledge Base Management

Enterprise-grade knowledge base with document import, FAQ management, and semantic search

Analytics Dashboard

Real-time customer service metrics — conversation volume, response time, satisfaction scores all visualized

Ticketing System

Auto-creates tickets for complex issues with full lifecycle tracking, SLA management, and auto-escalation

Custom Bot Builder

Configurable conversation flows and reply strategies with keyword triggers, intent recognition, and multi-turn dialogue

Open API Platform

Rich API interfaces for deep integration with CRM, ERP, and OMS systems

Seamless AI + Human Collaboration

AI auto-handles common questions, complex issues intelligently routed to the best-fit agent with full conversation context

Data-Driven Operations

Real-time service dashboard, satisfaction trends, agent performance analytics, hot topic detection — driving continuous team optimization

Enterprise-Grade Security

Tenant data isolation, TLS encryption, operation audit logs, sensitive data masking, private deployment option

FAQ

Customer service, third form: AI-first, human-backed

Yitu AI Customer Service makes 'AI answers first, humans back up' the default rather than an optional add-on. The platform merges 6+ channels — WeChat, WeCom, Feishu, Douyin, official accounts, Web SDK — into one agent workstation. AI answers 85%+ of common questions from your knowledge base; complex ones transfer to human agents in under a second with full session and order context. The value isn't 'save a few headcount' — it's turning service capability into reusable digital assets that get sharper the more they run.

Three real scenarios

E-commerce brand · Support director

Situation · 30k+ daily inquiries during peak sales; human agents can't keep up, customers vent on socials, GMV suffers.

Outcome · Yitu connects Tmall/Douyin/WeChat, AI answers 85% of common questions (shipping, returns, coupons); the remaining 15% transfer instantly with full context — no 'which order was it again'.

SaaS company · Customer success

Situation · Wants in-product support; customers get answers immediately without every CSM becoming a human FAQ.

Outcome · Docs, changelogs, SOPs load into the Yitu KB; a Web SDK embeds in-product. AI answers when confident, opens a ticket to the on-call CSM otherwise — SLA and escalation are native.

Retail chain · Contact center

Situation · 400+ stores, membership questions across many channels, scattered dispatch.

Outcome · All channels connect to Yitu; routing by store/city/skill; AI handles card lookups and appointment changes; humans handle judgment calls; dashboard produces daily reports automatically.

Performance and scale

6+Channels supported

WeChat / WeCom / Feishu / Douyin / Official Account / Web SDK / API custom

85%+AI auto-resolution

Measured on customers with completed KB training

<1 secFirst-response time

From message arrival to first character of AI reply

200+Enterprises served

Active customers across e-commerce, SaaS, education, finance, retail

30+Concurrent sessions per agent

With AI draft-first workflow and human polish

CustomTicket SLA

P0/P1/P2 tiers, auto-escalation, breach alerts

How we compare

vs traditional ticket-first systems (Zendesk-style)
Us

AI-first + omnichannel + native support for major Chinese social channels.

Them

Ticket-centric, AI is a plugin, WeChat/WeCom support is often customization-required.

Takeaway · In China, the default inbound channel is WeChat/Douyin; native support is table stakes.

vs single-channel bots
Us

Unified agents, KB, and analytics across channels; AI + human seamless.

Them

Only one channel; cross-channel data is split; agents flip between consoles.

Takeaway · Customers don't message less because you only support one channel.

vs LLM-only chat startups
Us

Full CS Ops — agents, tickets, dashboards — not just a chat window.

Them

'AI answers messages' is solved; scheduling, KPIs, escalation are not.

Takeaway · AI is the entry point; teams need the full operational stack behind it.

Deeper details

How the knowledge base is trained and maintained

Import PDFs/Word/Markdown/web pages, hand-author FAQs, or one-click extract Q&A from historical transcripts. Live tracking flags 'AI answered wrong / couldn't answer' cases for the KB owner. Semantic retrieval on a vector store handles synonyms, colloquialisms, and typos — customers don't need exact wording.

AI ↔ human collaboration

High-confidence answers are sent directly; medium-confidence answers appear as drafts to the human agent for a one-click accept-or-rewrite; low-confidence or explicit human requests transfer instantly with full context. Agents stop asking 'what was it again'; customers stop repeating themselves.

Omnichannel and unified data

WeChat, WeCom, Feishu, Douyin, official accounts, Web SDK all funnel into one message gateway; every session tags channel/source/order/membership tier; dashboards slice by tag so ops can see which channel has lowest CSAT and which topic burns the most time. Data can push to your own warehouse.

Tickets and SLA

Complex questions auto-open tickets with P0/P1/P2 tiers, owner routing, breach escalation, CC/notifications, and customizable SLAs by segment or topic. On closure, customers get a satisfaction survey; low CSAT from high-tier customers pings management immediately.

Build Your Intelligent Customer Service Center

Unified multi-channel access, AI auto-replies — boost customer satisfaction