Intelligent Voice Robot

Support two scenarios of outbound and inbound calls, human-machine collaboration

Intelligent Voice Robot

Support two scenarios of outbound and inbound calls, human-machine collaboration

Qiancheng Voice Robot is a robot customer service system serving call centers, supporting two scenarios: outbound and inbound calls. Robots replace manpower, complete boring, repetitive and high-frequency customer service work, reduce call center manpower costs, and achieve more scientific and effective data management.

Introduce

Highlights

行业痛点

Automatic outgoing and incoming calls
Automatic outgoing and incoming calls

According to the business scenario logic, design and execute rules to automatically answer outgoing and incoming calls

Precise customer intention
Precise customer intention

Use big data analysis technology to accurately judge customer intention

No manual intervention is required
No manual intervention is required

Intelligently adjust customer service call operations according to business volume and execution standards, without manual intervention

Humanized interaction
Humanized interaction

Use intelligent voice technology to build anthropomorphic interaction, so that customers seem to communicate with real people


More accurate semantic understanding
More accurate semantic understanding

Strong NLP engine support, support semantic understanding, extraction and comparison of data

Advantage

行业痛点

Dialogue resources
Dialogue resources

Double engine semantic understanding, recording + TTS splicing, multiple rounds of dialogue, information extraction


Content source
Content source

Third party data interface configuration docking, information collection more convenient

Intention label
Intention label

Filter user intentions and mine customer needs

Machine learning
Machine learning

Robot education, unintelligible problem relevance learning

Process test
Process test

Text level simulation test

Process Comparison

行业痛点

AI
Business sorting and entry system
Task flow and intention configuration
Automatically execute the call task according to the list, and automatically answer the call within 24 hours
Human machine assistance and machine learning
View call information at any time

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Daily processing capacity 1000 hours+, 100% full quality inspection

Intelligent Voice Robot

Support two scenarios of outbound and inbound calls, human-machine collaboration

Visual Analysis System

Visualized real-time large screen based on voice big data, real-time public opinion warning

Car Voice Assistant

Provide end users with an integrated “cloud + terminal + core” automotive intelligent interactive service

Smart Training

Support multi-channel teaching such as APP and mini programs, and teach speech in a scene interactive way

AI Capability Platform

Deep integration of AI based on the two core capabilities of speech recognition and speech synthesis