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Virtual AI customer service employee for ecommerce brands

Train one dedicated AI support agent for each brand

AI Auto Support takes over support email, learns from historical replies, website FAQ, Shopify policies, and team context, then drafts, reviews, and safely sends customer-language replies.

Open workspaceView workspace demo
One brand, one AI agent
Email takeover + knowledge bootstrap
Chinese supervision, customer-language replies
AI Auto Support product interface illustration

90-day mailbox learning

Extract frequent issues and reply boundaries

Policy audit

Shipping, return, and warranty facts need review

Safe auto-reply

Automate low-risk cases and escalate risky ones

01

Core capabilities

Email takeover, not a draft widget

AI imports customer-service emails, marks them read, and moves them to one AI Support folder while leaving non-support mail untouched.

Knowledge from mailbox and website

Historical emails, FAQ, product pages, and policy pages become knowledge candidates that operators can confirm quickly.

Supervise in Chinese, reply in the customer language

Operators give Chinese instructions instead of editing every English email. AI regenerates the final reply in the customer language.

Safety gates before automation

Refunds, replacements, complaints, chargebacks, policy conflicts, and low-confidence knowledge are escalated before sending.

Single brand knowledge loop illustration
02

Why brands must stay isolated

One brand needs one isolated support brain

If multiple brands share one AI, knowledge, policies, tone, and automation limits become unsafe. One account can manage multiple brands, but every brand needs its own workspace, knowledge base, inbox takeover, and automation policy.

Same-brand website, FAQ, Shopify, Amazon, and team chats can be knowledge sources for one AI.
Different brands must become separate AI agents and cannot share reply policy.
Packaging should charge by brand AI agents, email volume, AI usage, and advanced integrations.
03

Launch workflow

1

Connect inbox

Connect IMAP/SMTP and create or reuse one AI Support folder.

2

Learn context

Backfill mailbox history and crawl website, FAQ, and policy pages.

3

Confirm boundaries

Approve policies, tone, risk rules, and automation scope.

4

Start handling

AI drafts, requests review, and auto-sends low-risk replies.

Shopify / Amazon order context
Lark / DingTalk / WeCom approval
Website FAQ and policy learning
Live chat as a later add-on
04

Testing-period packages

创业者套餐

¥99/月 + AI 用量

适合刚起步的 Shopify 独立站卖家,自动回复功能从第一档开放。

600 emails / 1 brand AI / 5 inboxes
含 ¥20 AI 积分,长期累积

AI 邮件接管

中文审核/指挥 AI

自动回复

基础历史邮件学习

专业套餐

¥199/月 + AI 用量

适合已有稳定客服量的独立站,多邮箱、多规则和知识冲突检测。

1500 emails / 1 brand AI / 15 inboxes
含 ¥50 AI 积分,长期累积

更高邮件额度

知识冲突检测

AI 客服日报

更多团队成员

安心套餐

¥499/月 + AI 用量

适合同一品牌客服量较大、需要更强自动化和审计的卖家。

5000 emails / 1 brand AI / 50 inboxes
含 ¥150 AI 积分,长期累积

单品牌专属知识库

高级自动回复策略

自动回复审计

团队权限管理

定制套餐

联系销售

适合高邮件量、多品牌集团、隐私安全要求高或需要单独部署的客户;每个品牌仍独立为一个 AI Agent。

Unlimited emails / Custom brand AI / Custom inboxes
AI 积分按合同配置

独立数据库

独立部署

定制 ERP/WMS/物流对接

专属实施服务

05

FAQ

Launch the core loop before adding channels

The launch priority is inbox takeover, knowledge bootstrap, policy audit, and safe auto-reply, not a generic CRM.

Why not one AI for multiple brands?

The agent learns tone, policies, historical handling, and automation boundaries. Mixing brands creates a direct wrong-reply risk.

Can one brand have multiple websites?

Yes. Same-brand websites, help centers, regional storefronts, and Shopify stores can be sources for one AI after conflict checks.

What can be tested now?

IMAP/SMTP, historical mailbox backfill, website crawl, knowledge candidates, review workflows, and the support workspace already have local validation paths.

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