AI Customer Support

Respond to common enquiries, capture customer needs and hand over to your team for consistent, traceable service.

Customer Support Challenges

The volume of messages continues to increase, is it difficult for customer service to cope?

Delayed responses lead to the loss of customers, high labor costs, and the need to handle a large number of repeated inquiries. Enterprise efficiency and service quality simultaneously decline.

FAQsRepeated queries can be sorted out by AI first
HandoffComplex issues are handled manually
Instant Resolution

Prioritize common inquiries, allowing customer service to focus on complex cases

AI can assist in responding to common questions about products, services, and orders, and transfer the conversation to the customer service team for follow-up when judgment, authorization, or manual processing is required.

  • FAQ assistance: Respond to questions about products, services and processes
  • Access authorised information: Connect products, orders or customer data by permissions
  • Improve team efficiency: Customer service focuses on handling complex and high-value cases
AI intelligent assistant

Hello! I'm your 24/7 AI service specialist.

You can directly ask about product specifications, service quotations or frequently asked questions, and I will answer them for you immediately.

By starting a conversation, you agree to the platform's Terms of Service and Privacy Policy.

You · 10:02 AM
✓✓What are your plans?
Support · 10:02 AM
We offer an AI customer service solution that automatically responds to inquiries, recommends products, and collects leads.
You · 10:03 AM
✓✓Can I reply immediately?
Support · 10:03 AM
Yes, the system supports 24/7 real-time response without manual intervention.
Conversion & Follow-up

Organize customer service conversations into follow-up needs

AI can organize customer needs, contact information and next steps during the conversation to assist customer service, sales or operations teams in follow-up.

  • Organizing needs: Record questions, preferences and next steps based on the conversation
  • Collect contact information: Record customer contact information at the appropriate time
  • Follow-up process: Create reminders, assign tasks or transfer them to relevant teams

core competencies

Assist the customer service team to handle common inquiries, organize customer needs, and connect manual and follow-up processes when necessary.

24/7Instant
Instant Support

Assistance and response to common inquiries

Assist the customer service team to respond to frequently asked questions about products, services, orders, etc. to reduce duplication of processing.

  • Support multi-channel conversations
  • Respond to product and order questions
  • Organize key customer needs
AIContext
Smart Understanding

Understand customer problems and intentions

Understand the content and context of the conversation, and help determine the customer's intention and subsequent processing direction.

  • Understand complex problems and needs
  • Preserve conversation context
  • Identify situations that require human intervention
Conversion
Sales Conversion

Guide to appropriate next steps

Provide products, services or appointment guidance based on the conversation content to assist the team in following up on customer needs.

  • Recommend related products or solutions
  • Guide appointments, inquiries or contacts
  • Collect leads that can be followed up
Follow-up
Retention

Connect the follow-up process

Organize the needs, contact information and processing status in the conversation into follow-up information.

  • Create follow-up reminders
  • Mark outstanding queries
  • Refer to customer service or sales team
Insights
Analytics

Customer service and conversion data analysis

Analyze conversations, transfers, and FAQs to find ways to improve service processes and knowledge bases.

  • Analyze reply quality
  • Track the reason for manual transfer
  • Understand popular needs
Integration
System Integration

Integrate CRM and business systems

CRM, order and customer service systems can be connected as needed to connect the company's existing service processes.

  • Unified management of multi-channel conversations
  • Query CRM and order data by permission
  • Support API integration with existing processes

Use cases

Applicable to different customer service and sales support scenarios, allowing AI to assist in handling repeated inquiries and leaving room for manual judgment

Retail & E-commerce

Retail and e-commerce conversion

Assist in responding to product and order inquiries, and guide customers to view relevant products or contact customer service at the appropriate time.

  • Respond to product specification and inventory questions
  • Recommend related products or content
  • Check order and logistics status
  • Connect with customer service or sales follow-up
SME Efficiency

Performance optimization for small and medium-sized enterprises

Start with repeated inquiries and common service issues to help the team organize needs and improve response consistency.

  • Respond to common customer inquiries
  • Organize customer service and operational needs
  • Start importing from a single scene first
  • Support multi-lingual services
Service Industry

Professional service appointments and consultations

Assist in organizing consultation content, appointment requirements and follow-up information to reduce manual repeated confirmations.

  • Assist with reservation and schedule confirmation
  • Respond to service content and questions
  • Send visit reminders and follow-up
  • Record customer information and preferences
Enterprise CX

Large Enterprises and Customer Service Centers

Help triage large volumes of inquiries and route complex, sensitive, or high-value issues to human agents.

  • Assist with numerous common inquiries
  • AI and human customer service transfer
  • Classify and dispatch requirements
  • Integrate customer data across multiple platforms

FAQ

Answer key questions about the deployment and use of AI intelligent customer service

How long does it take to officially start service?
The time depends on the channel, knowledge source, transfer to manual process and scope of system integration. If you start with a FAQ or a single customer service scenario, you can usually build a preliminary version faster.
What communication channels does the system support?
Supports mainstream channels such as WhatsApp, websites, and Messenger, and can manage all conversations in a single backend.
How to connect a real person when AI cannot handle a complex problem?
You can set conditions for manual transfer, such as sensitive questions, low-confidence answers, complaints or high-value customer inquiries, and the conversation records will be handed over to customer service for follow-up.
Can I customize the AI’s speaking tone and expertise?
Yes. You can set the tone of voice and import corporate documents and knowledge bases to make AI responses more relevant to your business.
Can it be linked with our existing CRM or order system?
It can be integrated with CRM, order and customer service systems as needed, allowing AI to query data within the scope of authorization and return cases that require manual processing to the team.
How to ensure the accuracy and data security of AI responses?
AI can be restricted to respond based on the authorized knowledge base, and it can cooperate with response evaluation and system monitoring to track error responses, manual transfer reasons and abnormal situations. Data processing methods can be configured according to corporate security requirements.
How to continuously improve customer service quality?
You can track frequently asked questions, unanswered queries, reasons for manual transfer and customer feedback, and continuously improve the knowledge base, response rules and service processes.

Start importing AI from a customer service scenario

First clarify common queries, manual transfer conditions and data sources, and then design an AI customer service process suitable for the team.