Automated FAQ responses
Handles high-frequency questions such as member services, order inquiries, activities, and store information.
AI Customer Service
Omnichannel support,
Omnichannel support,
available 24/7
Deploy an AI service assistant across LINE, Messenger, websites and apps. Resolve recurring questions immediately, tolerate typos and hand complex or sensitive cases to people.
LINEMessengerOfficial WebsiteApp
Cobinyiu AI Customer Service AssistantFirst-line Reception and Problem Triage
In Service
Requires human assistance
Address modification/Payment anomaly/Special customer complaintPreparing to transfer →
Address modification/Payment anomaly/Special customer complaintPreparing to transfer →
Semantic understanding·Misspelling tolerance·Human transfer·Sensitive word filtering
Core Features
A service layer connected to trusted knowledge
The assistant retrieves approved information rather than improvising. Teams can define answer boundaries, escalation rules and sensitive-language controls.
Seamless human handoff
Assists social media visitors in quickly obtaining answers, reducing message backlog and waiting time.
Semantic understanding and typo tolerance
Provides Q&A, recommendations, and next-step guidance while browsing products or services.
Sensitive-word and risk controls
Combines member and service entry points to create a more continuous mobile support experience.
Omnichannel Service
A consistent answer across every entry point
Connect the same knowledge base to multiple channels so customers receive consistent order, returns, store and product information.
LINE and Messenger
Covers FAQs such as order inquiries, return and exchange processes, store information, business hours, and service methods, allowing customers to obtain the information they need without waiting for business hours.
Website and app
When a problem involves special customer complaints, data confirmation, exception handling, or requires authorization, the system can mark it according to rules and hand it over to human customer service, balancing efficiency and service quality.
Conversation history and routing
Even if a customer enters typos, abbreviations, or different expressions, the system can identify similar question intent, reducing irrelevant answers caused by traditional keyword matching.
Sensitive words and response boundaries
Inappropriate language, risky words, and prohibited answer ranges can be set according to brand needs, allowing AI to respond within approved knowledge and service boundaries, maintaining brand image and dialogue security.
Operational Value
Let people focus where judgment matters
AI handles repetitive first-line questions, while agents receive clearer context for exceptions. This improves response speed without pretending every issue should be automated.
Lower repetitive workload
Receive customer requests using their own expressions from LINE, Messenger, the official website, or the app.
Faster first response
Identify question topics, synonyms, and possible input errors to avoid rigid keyword matching.
Measurable unresolved questions
Compile responses that match the questions from FAQs, product, service, and process information provided by the company.
Answer or transfer to human agent
Frequently asked questions are answered immediately; cases requiring verification, judgment, or authorization are transferred to human agents according to rules.
Use CasesA set of understanding capabilities,
A set of understanding capabilities,
Support for different service locations
From pre-sales and after-sales service in e-commerce, to store information, and tourism and venue services, we can start by introducing the most frequently occurring and easily standardized questions.
E-commerce Pre-sales and After-sales
Product information, delivery methods, order progress, return and exchange procedures, promotional activities, and common payment issues.
Retail and Store Services
Store location, business hours, activity descriptions, product search, and basic pre-visit consultation.
Tourism and Venue Consultation
Facility information, transportation methods, service rules, and multilingual FAQs to assist frontline staff in managing traffic flow.
Human + AILet AI handle high-frequency questions,
Let AI handle high-frequency questions,
Let humans focus on matters requiring judgment.
Clearly defining responsibilities is essential to simultaneously improve efficiency and trust. AI is suitable for stable, verifiable frontline question answering; exceptions, emotional issues, and authorizations should still be handled by humans.
Suitable for AI-driven processing
- Standard descriptions of orders and processes
- Store information, business hours, and service information
- Basic Q&A for products or solutions
- Common question classification and customer service referral
Suggestions for manual processing
- Customer complaints, emotional support, and dispute cases
- Requires identity verification or cross-system data verification
- Refunds, compensation, and special exception authorizations
- Questions for which the knowledge base lacks sufficient evidence
Import principles:First, set the answerable scope, referral conditions, and sensitive word rules, then gradually expand the knowledge content; avoid AI forcing answers when information is insufficient.
Implementation
Prepare three things before importing
It is not necessary to organize all the data at the beginning. First, focus on the most frequently asked and most manpower-intensive questions to establish a verifiable service scope for the first phase.
Review the integration conditions of LINE, Messenger, official website or app, and existing systems.
Provide FAQs, service processes, store and product information, and indicate which content can be directly answered externally.
Define which questions must be handled manually, how to mark them, and which team will handle them subsequently.
Design a support experience with clear boundaries
We can assess channels, knowledge sources, escalation rules and a safe validation scope.