Best 30 AI Customer Service Assistant AI Tools & Websites in 2025
Grain, Emitrr, Omakase Voice AI, NomNomQR, TradesViz, Activepieces, GoZen, WAPlus, Viral Ecom Adz, Stonly
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Grain
具有自动摘要和见解的会议 AI 笔记记录器。
Emitrr
用于商业沟通和客户参与的 AI 工具箱。
Omakase Voice AI
将网站转变为支持语音的购物助手，以提高销售额。
N
NomNomQR
餐厅的数字菜单管理解决方案。
TradesViz
全面的在线交易日志和分析工具。
A
Activepieces
面向团队的 AI 优先开源自动化平台。
GoZen
用于营销、销售和客户支持的人工智能套件。
WAPlus
免费的 WhatsApp CRM 扩展程序可提高生产力和沟通能力。
V
Viral Ecom Adz
针对高转化率电子商务广告的视频编辑服务。
S
Stonly
客户服务知识管理平台。
Dialora.ai
全天候人工智能语音代理，用于管理通话和安排预约
The Botmode
用于自动化 WhatsApp 客户参与和销售的 AI 平台。
Engagechat
用于潜在客户资格认定和销售自动化的 AI 聊天机器人。
H
Hastewire
用于内容人性化和工作流程自动化的人工智能工具。
M
Minea
电子商务工具跟踪广告以提高销售额和利润。
M
ModAI
用于社区支持和票务管理的 AI Discord 机器人。
RealtyVerse
房地产业务管理的一体化平台。
AgentRunner
用于快速应用程序开发和管理的 AI 工作流程构建器。
J
Jo
在产品发布之前收集真实的用户反馈。
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FullReviews
用于管理 Google 评论和提升本地 SEO 的人工智能平台。
L
Legacy Online School
获得认证的 K-12 在线学校，提供灵活的课程。
TxtCart
用于电子商务转换的短信营销平台。
U
Unwink AI
人工智能平台，提供可操作的客户洞察和效率提升。
Calldock
用于即时回拨和支持自动化的 AI 语音代理。
S
Scottie
构建用于跨多个平台进行客户交互的 AI 代理。
什么是 AI Customer Service Assistant
AI Customer Service Assistant is a virtual agent powered by artificial intelligence, that is capable of interacting with customers, answering their queries, guiding them through processes, or even suggesting products or services. It leverages machine learning, natural language processing, and often chatbot technology to simulate human-like interactions, aiming to provide customer support 24/7.
最受欢迎的十大 AI Customer Service Assistant 类AI工具和网站
| No. | Name | Description |
|---|---|---|
| 1 | Grain | 具有自动摘要和见解的会议 AI 笔记记录器。 |
| 2 | Emitrr | 用于商业沟通和客户参与的 AI 工具箱。 |
| 3 | Omakase Voice AI | 将网站转变为支持语音的购物助手，以提高销售额。 |
| 4 | NomNomQR | 餐厅的数字菜单管理解决方案。 |
| 5 | TradesViz | 全面的在线交易日志和分析工具。 |
| 6 | Activepieces | 面向团队的 AI 优先开源自动化平台。 |
| 7 | GoZen | 用于营销、销售和客户支持的人工智能套件。 |
| 8 | WAPlus | 免费的 WhatsApp CRM 扩展程序可提高生产力和沟通能力。 |
| 9 | Viral Ecom Adz | 针对高转化率电子商务广告的视频编辑服务。 |
| 10 | Stonly | 客户服务知识管理平台。 |
Newest AI Customer Service Assistant AI Tools & Websites
| No. | Name | Description |
|---|---|---|
| 1 | Exam Maker AI | AI-powered exam generator for efficient test preparation. |
| 2 | ReviewSense AI | AI tool for analyzing and summarizing customer reviews to boost sales. |
| 3 | GPTBots.ai | Enterprise AI Agents |
AI Customer Service Assistant Core Features
- Automated Response: AI Customer Service Assistant can answer commonly asked questions automatically without any human intervention.
- 24/7 Availability: The virtual assistant can offer support to customers round the clock, ensuring prompt responses at all times.
- Multi-lingual Support: These assistants can interact with customers in various languages, making them highly versatile.
- Integration Capabilities: AI assistants can be integrated into various platforms, including websites, apps, and social media platforms.
Who is suitable to use AI Customer Service Assistant
AI Customer Service Assistants can be useful across a wide array of industries that include e-commerce, banking, telecommunications, hospitality, and healthcare. They are particularly beneficial for businesses with high volume customer interactions and those looking to scale their support without excessively increasing their staff.
How does AI Customer Service Assistant work?
AI Customer Service Assistant primarily works through a combination of NLP (Natural Language Processing), machine learning, and chatbots. NLP helps it to understand and generate human language. Whereas, machine learning enables it to learn from its interactions with users and improve over time. When a user inputs a query, the assistant parses and understands the request, after which it either provides the relevant information or performs the desired action.
Advantages of AI Customer Service Assistant
AI Customer Service Assistants have several advantages, including providing immediate responses, reducing human errors, handling multiple queries simultaneously, offering 24/7 support, and delivering personalized experiences. Furthermore, they reduce the workload on customer service representatives, allowing them to focus on more complex tasks.
