AI Customer Service
LLM + RPA-powered omni-channel intelligent customer service and execution system for restaurant chains — upgrading customer service from a response tool to a business executor.
Business Challenges
Rising customer service costs
Human customer service headcount scales linearly with store expansion — labor cost pressure is enormous.
Slow response times
Peak-hour queues and unstaffed night shifts create poor user experiences and rising negative review rates.
Inability to serve 24/7
No coverage during holidays and late nights — large volumes of inquiries go unanswered.
Customer service data cannot be monetized
Vast amounts of conversation data sits dormant — unable to be converted into user insights or marketing assets.
Fragmented multi-channel experience
WeChat Work, phone, mini-program, and delivery platforms operate independently — inconsistent service experience.
AI Intelligent Customer Service Solution
Built on large language models and RPA technology — a next-generation restaurant intelligent customer service system that understands, executes, and learns.
20+ core intent recognition
Covers major scenarios including reservations, inquiries, complaints, and member services — with over 95% accuracy.
Sub-1s ultra-fast response
Millisecond-level inference and response — users experience zero perceptible wait time, greatly improving service quality.
Omni-channel unified intake
WeChat Work, phone, mini-program, and delivery platforms integrated into one — unified conversation management.
RPA automated execution
Not just answering questions — directly executing business operations like table reservations, refunds, and loyalty point redemptions.
Enterprise knowledge base sync
Menu, promotions, and policies sync in real time — ensuring customer service content is always accurate.
4-phase rapid deployment
Diagnosis → Development → Launch → Optimization — standardized implementation path for fast go-live.
Key Metrics
Customer Testimonials
After launching AI customer service, our average response time dropped from 8 minutes to seconds, user satisfaction scores improved by 15 percentage points, and late-night inquiry conversion rates increased noticeably.
Director Zhao
Customer Experience Director | Leading Chain Tea Brand
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