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AI Customer Service Solution

An LLM-powered, RAG-augmented customer service solution covering omnichannel access, intelligent IVR, agent task orchestration, and human-machine collaboration - delivering 92% self-service resolution and 6x+ efficiency gains.

Solution architecture diagram
AI Customer Service Solution Solution architecture diagram
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Overview

Deliverables

AI Customer Service Solution

1LLM dialogue and knowledge QA
2Agent build and task orchestration
3Voice service and intelligent IVR
4Omnichannel unified access
5Human-machine collaboration and safety control
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Deliverables
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delivery chapters
01

LLM Dialogue & Knowledge QA

LLM semantic understanding with RAG-augmented knowledge - multi-turn dialogue, subtext recognition, and badcase-driven continuous optimization.

Capability points
1大模型语义理解,支持上下文跟踪、潜台词识别、多轮对话
2RAG知识增强,从FAQ、制度文档、业务说明、网页内容、接口字段自动构建知识库
3任务式对话:承接预约、登记、身份校验、业务办理等任务型场景
4行业模板与快捷应用模板,1小时快速搭建大模型机器人
5badcase分析与自动优化机制,支撑知识库持续迭代
LLM Dialogue & Knowledge QA Interface preview
02

Agent Build & Task Orchestration

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画布化流程配置:主题管理、流程配置、节点调试与发布

02

"听、说、想、做"能力:文本回复、语义识别、变量赋值、条件分流、API调用

03

可视化拖拽降低技术门槛

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承接预约、登记、身份校验、业务办理等任务型场景

05

必要时接入外部API完成业务联动

Canvas-style flow configuration with listen, speak, think, and do capabilities - visual drag-and-drop keeps the technical bar low.

Agent Build & Task Orchestration Interface preview
03

Voice Service & Intelligent IVR

ASR/TTS configuration, intelligent IVR navigation, and accurate routing cover phone customer service and voice-bot scenarios.

  • ASR & TTS配置:语音识别、语音合成、发音人选择、语速音量调节
  • 静默与打断规则配置
  • 智能IVR导航:按键交互和语音导航
  • 精准转接:意图、客服组、人工坐席
  • 满足电话客服、语音导航、语音机器人等场景建设需求
Voice Service & Intelligent IVR Interface preview
04

Omnichannel Unified Access

Unified entry across Web, WeChat, WeCom, Xiaohongshu, and more, with API integration to third-party business systems.

  • 多渠道支持:Web/JS嵌入、微信公众号、微信客服、企业微信、小红书
  • API对接第三方业务系统,实现数据同步和业务联动
  • 统一服务入口、统一服务口径、统一数据沉淀
  • 渠道优先级按业务灵活接入(先单渠道、后全渠道)
  • 路由规则配置支持首转人工与badcase回流
Omnichannel Unified Access Interface preview
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Human-Machine Collaboration & Safety Control

Flexible human handoff, pre-training data cleansing, question and answer safeguards, plus a fast manual intervention mechanism.

01

转人工规则灵活配置,降低转人工率

Core
02

训练前数据清洗

03

问题防护与答案防护

04

人工快速干预机制

Implementation flow
Human-Machine Collaboration & Safety Control Interface preview
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Customer Outcomes & Industry Practices

Capability points

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餐饮连锁场景:KFC宅急送、KFC自助、Pizzahut宅急送,覆盖APP、小程序、美团、饿了么
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文旅政务场景:澳门旅游局AI旅游助手,多语种 + 7×24小时
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制造业/国际化场景:九号 Ninebot全球知识库与多语种智能交互
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文化机构场景:国家图书馆"顾朝夕"智能问答系统
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行业适配:大型连锁、公共服务、制造业、成长型企业、出海企业五类客户画像

Flagship customers include Yum China, Macao Government Tourism Office, Ninebot, and National Library of China - spanning retail chains, public services, manufacturing, and overseas markets.

Customer Outcomes & Industry Practices Interface preview
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Capability points
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Implementation analysis
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