Yes, starting with drafts. Give an AI assistant such as ChatGPT, Claude or Gemini a month of your common LINE chats (screenshots or pasted text) along with your shipping and return policies. It can sort out the questions customers ask most, and write standard answers and the text for keyword auto-responses. When a message is tricky to answer, paste it in and have it draft a reply, and a colleague checks it before sending.

For many brands, online stores and service businesses in Taiwan, customer service happens in a LINE Official Account (LINE is the messaging app most people in Taiwan use every day). Customers are used to asking there, and your team replies in a friendly, conversational tone. As messages grow, teams usually want to reply faster, not miss messages that arrive after hours, and give the same answer no matter who replies. This article starts with prompts you can copy, then covers what to check, how your LINE Official Account can help, and how AI can look up orders itself.

Ask AI directly: 3 prompts to copy

Swap in your own policies, dates and products (the ones below are examples).

Sort your common questions

Attached are screenshots of last month's customer chats from our LINE Official Account, with customer names and phone numbers blacked out. Please group the customers' questions by type (for example order status, shipping fees, returns and exchanges, stock, opening hours), estimate how many times each type came up, sort them by count, and give two or three examples of how customers actually worded each type. Give me the result as a table I can paste into a spreadsheet.

Write standard answers and auto-responses

Attached are our shipping, returns and opening-hours policies. Based only on these, write a standard answer for each of the top 10 questions you just found: friendly, suited to a reply on LINE, two or three sentences each. For each question, also suggest 3–5 keywords I can set up as auto-responses. Where the policies don't cover something, mark it "To confirm" instead of filling it in.

Draft a reply to a tricky message

A customer wrote: "I ordered last Friday. Why hasn't it shipped yet?" Order status: paid; out of stock, expected to ship 10/28. Please draft a reply: apologize first, explain the reason and the expected ship date, then offer two options: switch to another color, or cancel for a full refund. Sincere tone, three or four sentences.

After AI drafts, check these 3 things

  1. Does it match your policies? Check the free-shipping threshold, the return window and promotion end dates against your policies line by line. Anything marked "To confirm" gets settled before it goes in.
  2. It doesn't know where the order is. Look up shipping status and stock in your own system first and tell it; don't let it guess a date.
  3. Some replies are a person's call. For complaints, refund amounts or a customer asking for a manager, treat the AI draft as a starting point and let a senior colleague decide how to reply.

Chats include customers' names, phone numbers and addresses. Use your company's enterprise plan, or black these out or replace them with codes before you upload.

Make it easier: your LINE Official Account and AI working together

1. Keep one set of standard answers

Put the standard answers, drafted by AI and checked by your team, in one shared document on your cloud drive, and have everyone answer from it. When a promotion changes, one person updates it. Attach it every time you ask AI to draft a reply, and it will stick to the same wording.

2. Put them in your rich menu, greeting message and auto-responses

The rich menu is the panel of buttons at the bottom of a LINE Official Account chat. Add buttons for the questions people ask most, such as "Shipping & free shipping," "Returns" and "Track my order." Use the greeting message people get when they add you as a friend to explain your service hours, for example: "We reply Monday to Friday, 9 a.m. to 6 p.m. Messages sent at other times will be answered in order once we're back." Then set up auto-response messages with the keywords AI suggested and the standard answers you've checked.

3. Tag chats by type and write down handoff rules

Use tags such as "Order status," "Returns" and "Complaint." Count them at month-end, so the next time you ask AI to sort questions, you have numbers to go on. Then write down which cases go straight to a senior colleague or manager: complaints, questions about refund amounts, and customers who ask for the person in charge. These rules later become the AI's rules for handing off to a person.

When to consider the next step

AI plus a well-set-up LINE Official Account can serve you for a long time. It's worth looking at the next step when:

  • You copy chats into AI and paste replies back into LINE every day.
  • More questions like "Where's my package?" need an order or shipping lookup, and you'd like AI to check them directly.
  • More messages arrive after hours and on weekends, and you'd like customers to get a useful reply first.
  • You need every conversation and every handoff logged, so you know which kinds of questions most often need a person.

The next step: connect AI to your LINE Official Account and order system

What we recommend isn't "hand everything to AI." It's a division of labor: AI replies first to common questions and looks up order and shipping status. Complaints, payment disputes and questions it can't find an answer to go straight to a person, who sees the whole conversation when they take over. The standard answers you've written are what the AI answers from.

Hybrid customer service flow: AI reads each LINE message first, answers common questions directly, checks the system for order questions, and routes complaints and complex issues to a person
Hybrid routing: common questions get a direct answer, order questions get an answer after a system lookup, and complaints and complex issues go to a person.

Let the AI check your systems safely

The AI checks orders, shipping, inventory and membership data only through lookup functions you've defined, never your entire database: the same principle behind MCP's permission design. Before looking up anything personal, it verifies the customer's identity first: for example, by asking for the order number and the last few digits of their phone number, or by enabling lookups only after a member has linked their LINE account.

When a person has to take over

Start from your handoff rules:

  • Complaints or clearly upset customers: strong language, repeated complaints, threats to report the business or leave a bad review.
  • Money and customer rights: disputed refund amounts, requests for compensation, pricing errors.
  • No answer in the data: don't let the AI guess; hand it to a person (see how to make AI customer service answer only from your own data).
  • The customer says "I want to talk to a real person": hand off right away, and tell them what happens next, for example: "I've passed this to our team, and we'll reply in order during service hours."
A LINE chat on a phone: AI looks up the order and replies with the shipping status; when the customer raises a double charge, AI says the chat has been passed to the team, and a support console shows the handoff reason and an AI summary
Example conversation: AI finds the order and replies with the shipping status; when the customer raises a payment dispute, it clearly says a staff member will take over and hands off the conversation.

Roll out in phases, and watch three numbers

  1. Start with "Has my order shipped?" and connect that lookup first.
  2. Set up handoff rules and the support console: agents see the full conversation and can take over, and every chat is logged.
  3. Decide how far the AI can go: only answer? Help change a delivery address? Accept returns? Anything that changes data gets a person's confirmation first.
  4. Pilot for two weeks during off-peak hours or with a subset of customers, while your rich menu and your team keep working as usual.

After launch, watch the AI resolution rate, handoff reasons and customer satisfaction (ask "Was this reply helpful?" at the end), and have one person review the logs and update the standard answers every week.

Good AI customer service doesn't make it hard for customers to reach a person. It lets your people spend their time on the customers who actually need them. To find out which step suits your LINE customer service, start with a free AI Health Check, or look at our retail solution and integration services. You're also welcome to just talk to us.