Dialogflow
Integrating Dialogflow CX with x-bees allows the integration of Dialogflow within the x-bees platform. These chatbots can be utilized in various ways, including embedding them in the Kite widget or accessing them through the x-bees application.
Use Cases
- Customer Support: Provide instant answers to customer queries, reducing response times and enhancing user satisfaction.
- Lead Generation: Engage potential customers by offering assistance and capturing leads through interactive conversations.
- Feedback Collection: Collect user feedback directly through the chatbot, allowing for continuous improvement of your services.
- Internal Support: Employees can use chatbots to get quick answers to common questions, streamlining internal processes.
- Service Requests: Users can submit service requests or inquiries directly through the chatbot, ensuring efficient handling and tracking.
- Training and Onboarding: New employees can interact with training bots to learn about company policies, procedures, and tools.
Predefined Replies
The predefined replies feature allows chatbots to present users with quick response options in the form of buttons. This enhances user experience by providing easy-to-select choices and streamlines the conversation flow.
{
"text": "Hey, how can I help you?",
"predefinedReplies": ["Just browsing", "Need assistance", "Looking for info"]
}
When this message is sent, users will see clickable buttons below the message containing the predefined reply options. This feature is particularly useful for:
- Guiding users through conversation flows
- Simplifying user interaction
- Reducing typing effort for common responses
Handover
The handover functionality allows the chatbot to transfer the conversation to one or multiple human agents. This feature is useful when the chatbot encounters a query it cannot handle or when the user requests human assistance.
{
"email": "john.doe@example.com"
}
{
"email": "john.doe@example.com, jane.smith@example.com"
}
Handover to Service
In addition to handing over conversations to individual agents, the integration supports passing the conversation to a specific service. A service consists of a group of agents configured in Call Groups on the WMS interface.
{
"service": "1@example.wildixin.com"
}