[Channel Talk AI] Using ALF in LAROOM

LAROOM is a 10-year-old women's apparel brand with 25 billion won in annual revenue.
As LAROOM grew, the number of simple repeat inquiries increased a lot.
They were in a rush to handle the inquiries and were worried about losing their regular customers, who were very important to their brand.
LAROOM and Channel Talk wanted to solve this problem through AI agent ALF.
If the AI chatbot ALF can handle repetitive inquiries on its own, based on the information it has learned, the agents can focus on more important ones!
We ran a test with the goal of ALF resolving shipping inquiries on its own, which is the largest percentage of the simple inquiries.
We got some surprising results! Check them out in the video!
00:00 Intro
00:07 What kind of brand is LAROOM?
00:19 Why do you think owning a mall is important?
00:51 How did you decide to use Channel Talk?
01:27 What made you decide to participate in the ALF beta test?
02:25 Has the ALF actually worked since its introduction?

[@user-xg7iw5fn2x]

나날이 성장하는 라룸 화이팅! 항상 응원합니다.

[@channel.talk]

고객중심 운영으로 지속적인 성장을 해왔다는 점이 정말 멋진 브랜드죠😍라룸 화이팅!

[@정숙문]

AI 활용도 높아 보이네요 좋습니다!

[@channel.talk]

ALF를 활용해서 고객에게 더 집중하게 된 라룸! 참고하면 정말 좋은 사례예요😄