AI Review Replies for Korean Delivery Apps: A Restaurant Owner's Notes

Yes, AI can reply to delivery app reviews for a small restaurant, and it saves real time. In October 2026 I built a small program with Claude that writes and posts replies to customer reviews on Baemin, Coupang Eats and Naver for the two restaurants I run in Gangnam, Seoul. This post covers why I did it, how the setup works at a high level, and what I would tell another owner before trying it.

Smartphone with a delivery app review screen on a restaurant kitchen counter (AI-generated image)

Why reviews matter so much on Korean delivery apps

In Korea, most delivery orders go through a few big apps. Baemin is the largest, and Coupang Eats has grown fast. A 2025 Korea Times report put Coupang Eats at 25.7 percent of the market, up from 13.7 percent, with Baemin dropping below 60 percent.

On these apps, customers scroll past dozens of similar restaurants. Ratings and recent reviews are often the deciding factor. Owner replies are visible right under each review, so a shop that answers every review looks alive. A shop with a wall of unanswered reviews looks like nobody is home.

The problem is time. Replying well takes a few minutes per review, and the work lands at the worst moment: after the dinner rush, when you still have to close the kitchen.

What my AI review reply setup does

I am not a developer. I built this by describing what I wanted to Claude, step by step, and testing it in my own stores. At a high level it does three things:

  1. Collects new reviews from each app on a schedule.
  2. Drafts a reply that fits the review: thanks for specific praise, an apology and a concrete fix for a complaint, a short answer for a question.
  3. Posts the reply and keeps a log, so I can check what went out.

The rule I care about most: the reply has to sound like a person who runs the shop, not a template. Lines like "Thank you for your valuable review, we will always do our best" are exactly what I tried to remove.

Key takeaways for using AI to reply to delivery app reviews

What I learned running it in real stores

1. Set the tone before you automate

Write down how you actually talk to regulars. Short sentences, the dish names you really use, how you say sorry. The AI copies whatever you give it, so give it your own voice first.

2. Treat complaints differently from praise

Praise can be answered quickly. A complaint about a missing item or a cold dish needs a specific response, and sometimes a real-world action like checking the packing station. My advice is to keep complaints visible to the owner instead of letting them disappear into an automatic reply.

3. Never let it invent facts

AI will happily promise a discount you never offered or describe an ingredient you do not use. The instructions must say clearly: no promises, no new menu facts, no personal data about the customer.

4. Keep a log you actually read

Automation saves time only if you trust it. A simple daily log of which review got which reply lets you spot a bad answer in a minute, before a customer screenshots it.

What you need before you start

You do not need to write code yourself, but you do need a few things in place:

  • A computer that stays on during business hours, because the apps are checked on a schedule.
  • Owner access to each delivery app account, kept private. Never paste passwords into a chat with an AI.
  • A one-page tone guide: ten real replies you wrote yourself, good and bad examples, and the words you never use.
  • A short rule list: no discounts, no refunds promised in a reply, no customer names, no medical or allergy claims.
  • Time for a test week where you read everything before trusting it.

The tone guide is the part most people skip, and it is the part that decides whether replies sound like you or like a call center.

Should a small restaurant try this?

If you get more than a handful of reviews a day across apps, I think yes. Start small: one app, praise only, and read every reply for the first week. Expand once the tone feels like you.

If you get only a few reviews a week, answering by hand is still the better use of your time, because each reply is a chance to talk to a real customer.

Checklist for an AI review reply setup

FAQ

Which delivery apps matter most in Korea?

Baemin and Coupang Eats are the two largest by market share in recent reports, and Naver matters for place search and reviews outside of delivery.

Do customers notice AI replies?

They notice templates. A reply that mentions the actual dish and the actual issue reads as human, whoever typed it.

Is it expensive?

The cost depends on the AI service and how many reviews you process. For a small shop the bigger cost is the setup time, not the usage.

Sources

한국어 요약

배민, 쿠팡이츠, 네이버 리뷰에 AI로 답글을 다는 프로그램을 2026년 10월에 직접 만들어 강남 두 매장에서 쓰고 있어요.

핵심은 말투를 먼저 정하고, 불만 리뷰는 따로 챙기고, AI가 없는 약속을 만들지 못하게 막는 거예요.

리뷰가 하루 몇 개 이상이면 시도할 만하고, 처음엔 칭찬 리뷰만 자동으로 시작하는 걸 추천해요.

한국어로 더 보려면 네이버 블로그 blog.naver.com/ruistan

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