I Hired a 24/7 AI Employee—It Uses WeChat to Work for Me
Wang runs a building materials wholesale business in Foshan, managing 20+ dealer WeChat groups by himself. Every morning he woke up to 30+ unread messages, and replying late meant losing orders. Last year he set up a WeChat customer service AI on a Kaihe A1—since then his phone's never been bombarded by customer messages again, and the AI has never missed a single reply.
A One-Person Company's Information Overload
Wang's situation is textbook: - 20+ dealer WeChat groups, any one could contain a potential order - Customers asking about pricing, inventory, shipping status—from 6 AM to 11 PM - He's simultaneously visiting factories, inspecting samples, signing contracts - "Reply half an hour late, and the order flies away"
Record high: juggling 7 customer conversations at once, missed 2 critical messages, lost a ¥80,000 order.
The Solution: One Kaihe Box as a Customer Service Rep
Wang's son helped him set up a Kaihe A1 with OpenClaw and a WeChat customer service workflow:
How He Built It (No Tech Background Needed)
1. Plug in ethernet → Open web interface → Scan QR code to bind WeChat
2. Drop product pricing sheets, inventory lists, common Q&A into AI's knowledge base
3. Set auto-reply rules: pricing → search pricing sheet, inventory → search inventory, shipping → search logistics
4. Set a safety line: anything AI is unsure about → flag "needs human reply"
Wang did it all himself. Zero lines of code.
A Day in the Life of an AI Customer Service Rep
After activation, Wang's information processing transformed:
6:00 AM: Dealer Li messages "What's the unit price for 304 stainless pipe?"
→ AI pulls from pricing sheet "304 pipe, today's wholesale price: ¥XX/meter" → adds "Mr. Li, discounts for bulk orders, how many units are you looking at?" → instant reply
9:00 AM: New customer sends a long requirements description
→ AI extracts key info: specifications, quantity, delivery timeline → checks inventory (sufficient) → generates draft quotation → auto-flags: "This is a high-value order—recommend calling the customer to confirm details"
10:30 PM: Someone in a dealer group is pushing for shipment status
→ AI checks logistics system → "Your goods shipped from Foshan yesterday, estimated arrival in 2 days. Here's the tracking number." → auto-generates status screenshot
3:00 AM: Overseas client (time zone difference) sends inquiry in English
→ AI auto-translates → searches English pricing → replies in English → Wang checks the chat log in the morning: "Oh, closed another deal overnight."
The Math
| Comparison | Without AI | With AI |
|---|---|---|
| Response speed | 2-5 hours avg | Instant |
| Missed messages | ~10% | 0% |
| Coverage hours | 8 AM-11 PM | 24/7 |
| English clients | Impossible | Auto translate |
| Electricity cost | — | ~¥3/month |
Saves roughly the cost of a customer service representative (¥4,000-5,000/month salary). The A1 costs under ¥1,000. Hardware cost recovered in the first month.
Wang's Three Takeaways
1. "Knowledge Base Determines How Smart Your AI Is"
"At first I just dumped product info in casually, and AI responses were robotic. I spent one weekend writing standard answers for 'the 20 questions customers always ask' and stored them properly—AI instantly became much sharper."
2. "Always Keep a Human Safety Line"
"I never let AI give final negotiated prices, only reference prices. Anything involving contracts or payments gets flagged 'pending human.' AI is an assistant, not the boss."
3. "The Real Value Isn't Time Saved—It's Orders No Longer Missed"
"I have no idea how many orders I lost to missed messages before. Now with zero gaps, I'm conservatively closing 3-5 more deals per month."
Bottom line: A building materials wholesaler used a sub-¥1,000 AI box to achieve 24/7 WeChat customer service with zero missed messages. AI doesn't replace your employees—it lets one person do the work of three.
User Case column tracks real-world usage scenarios. Running a small business? Give AI a try at watching your group chats.