The Challenge

A Thai fashion brand with over 50,000 LINE OA followers was growing rapidly — but their customer service wasn't keeping up. During peak sale periods (flash sales, restocks, promotions), the admin team was receiving 300–500 messages per day through LINE OA.

Most messages were repetitive: "Is this size available?", "Where is my order?", "Can I return this?". Despite being routine questions, each required an admin to read the message, look up the information, write a reply, and send it — taking 2–5 minutes per message, and 4–6 hours of total daily response time.

4–6 hours

Daily admin time spent on chat replies

300–500

LINE messages received per day during peaks

4 hours

Average customer wait time for a reply

The Solution

LYNXFUSE built a custom LINE OA AI chatbot with deep integration into the brand's order management system, inventory database, and CRM. The system was designed to:

Understand natural Thai-language customer messages using AI natural language processing

Classify each message by intent (order inquiry, product question, return request, complaint)

Retrieve real-time order status, product availability, and customer history from connected systems

Generate accurate, personalized replies in natural Thai within 1–3 seconds

Process simple requests (tracking lookup, size availability check) fully automatically

Route complex cases (complaints, VIP customers, unusual requests) to human agents with full conversation context

Implementation Timeline

Week 1–2

Business Analysis & Design

Mapped all common customer inquiry types, documented responses, integrated with order system API

Week 3–4

AI Training & Integration

Trained AI on brand-specific product information, tone of voice, and Thai language patterns

Week 5

Testing & Refinement

Internal testing with real message samples, edge case handling, human handoff optimization

Week 6

Go-Live & Monitoring

Soft launch to 20% of traffic, monitored accuracy, full rollout by end of week

Total implementation time: 6 weeks from first meeting to full go-live.

Results After 3 Months

85% reduction in response time

From average 4 hours to under 3 seconds

78% of inquiries fully automated

Handled without any human intervention

3 admin hours saved daily

Team reallocated to higher-value customer interactions

24/7 customer service

First time the brand could serve customers outside business hours

+22% customer satisfaction

Based on post-interaction LINE satisfaction survey

ROI achieved in 2.5 months

Implementation cost recovered through labor savings

Fashion Brand Cuts Customer Reply Time
from 4 Hours to 2 Seconds

The Challenge

The Solution

Implementation Timeline

Results After 3 Months

Want similar results for your LINE OA?

Fashion Brand Cuts Customer Reply Timefrom 4 Hours to 2 Seconds

The Challenge

The Solution

Implementation Timeline

Results After 3 Months

Want similar results for your LINE OA?

Fashion Brand Cuts Customer Reply Time
from 4 Hours to 2 Seconds