Intelligent Digital Human Service Platform
Beta Digital Human Service Center
Low-latency, scalable digital human services supporting multi-carrier deployment to build a standardized intelligent service system.
Background
Enterprises face contradictions such as service demand fluctuations, rising labor costs, and difficulty in standardization.
Cost & Experience
Need low-latency, low-cost, scalable 'near-human dialogue' experience.
Low Model Performance & Business Fit
General speech models struggle to understand industry terminology and dialects, insufficient recognition accuracy affects user experience.
Solution Content
Image & Capability
Customize images of spokespersons, virtual anchors, counter managers, guides; connect to internal knowledge base and business systems, support Q&A, processing procedures, identity verification and operation guidance.
Low-Latency Architecture
Key inference such as speech recognition, semantic understanding, expression/lip driving deployed locally, necessary data transmitted back to center for processing.
Multi-Carrier Platform
Supports carriers such as Web, App, large screens, store terminals, configure roles by business line, build standardized and replicable service system.
Key Advantages
Let data speak — let results be visible
Response Latency
End-to-end dialogue latency below 800ms
Cost Reduction
70% cost reduction vs human agents
Non-stop Service
24/7 stable service without scheduling
Service Satisfaction
Standardized service ensures high satisfaction
Technical Capabilities
Deep technical capabilities powering your business
Multi-scenario Digital Human Customization
Supports customization of virtual spokespersons, hosts, customer service, guides and other roles, integrating with enterprise knowledge base and business systems for professional Q&A and business handling
Ultra-low Latency Interaction
Adopts local inference + edge computing architecture, deploying key modules like speech recognition, semantic understanding, and lip-sync locally, with end-to-end latency below 800ms for near-human dialogue experience
Unified Service Platform
Builds standardized service platform supporting deployment across Web, App, large screens, store terminals, with unified management of roles, scripts, and knowledge bases for scalable and replicable service experience
Data Analysis & Optimization
Records all interaction data and user feedback, providing service quality analysis, hot topic mining, script optimization suggestions to continuously improve service effectiveness and business conversion rates
Target Industries
This solution is designed for the following industries and use cases
Bank Branches
E-commerce
Public Service Centers
Hospital
Education
Tourism
Exhibitions
Implementation Process
Expert-guided implementation ensuring seamless project delivery
Scenario Design
Define digital human roles and service scenarios
Avatar Creation
Customize digital human appearance and voice
Knowledge Integration
Integrate business systems and knowledge base
Platform Deployment
Platform setup and terminal configuration
Testing & Launch
Stress testing, trial run, official launch
FAQ
Common questions answered
Main differences: 1) Interaction form: Digital humans have visual appearance, expressions and lip-sync for more natural humanoid experience; traditional voice robots only have voice interaction. 2) Technical architecture: Digital humans integrate multi-modal AI capabilities like ASR, NLP, TTS, visual driving; voice robots mainly ASR + dialogue management. 3) Application scenarios: Digital humans suit scenarios requiring visual presentation (large screens, stores, live streaming); voice robots better for phone customer service. 4) Emotional experience: Digital humans enhance emotional delivery through expressions, gestures, offering service experience closer to real humans.
We adopt edge computing + local inference hybrid architecture: 1) Real-time modules like ASR, lip-sync, expression generation deployed on local edge devices; 2) Dialogue understanding, knowledge retrieval modules that can tolerate some latency on central cloud; 3) Optimized TTS model achieves streaming output, generating and playing simultaneously; 4) Preload common answers and action templates to reduce generation time. After comprehensive optimization, end-to-end latency can be controlled within 800ms, far below human perception threshold (1.5-2 seconds), providing smooth dialogue experience.
Digital human business complexity handling depends on knowledge base and system integration depth: 1) Basic: FAQ Q&A, product introduction, guidance, 90%+ accuracy; 2) Intermediate: Business consultation, form filling assistance, appointment booking, can handle 80% standard processes; 3) Advanced: Integrate with CRM/ERP systems to execute queries, orders, approvals, but requires manual review of key steps. Complex decisions and emotional support still need human handoff. We recommend 'digital human + human' collaborative mode: digital humans handle standard issues and initial screening, complex issues seamlessly transferred to humans, improving efficiency while ensuring experience.
Fully customizable: 1) Appearance: Can clone from real person photos/videos or design virtual characters from scratch (gender, age, clothing, style, etc.), complying with brand VI; 2) Voice: Supports voice cloning (with authorization) or selection from preset voice library, adjustable parameters like speed, pitch, emotion; 3) Actions and expressions: Customize exclusive gestures and expression library based on scenarios (smiling, nodding, pointing, etc.); 4) Multiple roles: One system can configure multiple digital human roles, switchable by business scenario. Multiple rounds of testing and optimization before delivery ensure appearance and voice meet your expectations.
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