In 2016, the industry was recognized as the "Year of Artificial Intelligence," and by 2017, it had entered a phase of rapid expansion. In particular, the call center sector began to fully leverage AI technologies, where its advantages became more visible than ever, making it one of the most suitable fields for early-stage AI applications.
In 2018, Hanyun Communication introduced an intelligent service model that combined human voice, AI communication, and support for interruptions. At the core of this system was the “Artificial Intelligent Interactive Voice System,†which aimed to bring back the value of human interaction while freeing employees from repetitive mental tasks. This innovation helped enterprises create the most effective call scenarios.
**I. Market Demand and Pain Points Analysis**
**1. The Development Trend of Artificial Intelligence**
As early as March 5, 2017, the government work report emphasized the need to accelerate the research, development, and transformation of AI technologies, aiming to expand and strengthen industrial clusters. Notably, this was the first time that "artificial intelligence" appeared in the official government report, highlighting its growing importance.
**2. Pain Points in the External Call Industry**
- **Intense Competition**: High market competition and limited business opportunities.
- **High Recruitment Costs**: With the fading demographic dividend, training costs are rising, and it’s increasingly difficult to recruit, manage, and retain staff.
- **Customer Acquisition Challenges**: High hang-up rates and emotional impact on both customers and agents.
- **High Operational Costs**: Wages, commissions, social security, phone bills, and other overheads continue to rise.
- **High Staff Turnover**: Difficulty in managing both new and experienced salespeople, leading to increased recruitment and management costs.
- **Long Training Periods**: New hires lack experience and standardization in their sales approach, requiring extensive training.
- **Inaccurate Data**: Customer intent changes rapidly, and manual tracking often leads to incomplete or inaccurate records.
**3. Application of Artificial Intelligence in the External Call Industry**
- Real-life voice telemarketing
- Intelligent customer service with hybrid models
- Intelligent follow-ups and voice notifications
- Speech analysis and semantic understanding
- Integration with web and WeChat customer service
- Intelligent data analysis and query services
**II. Highlights of the Intelligent Voice Interaction Program**
**1. Value of Intelligent Voice Interaction**
- **Efficient Filtering**: Automatic outbound calls and efficient sorting of customer data.
- **Accurate Big Data**: Precise call data tracking, keyword extraction, and gender recognition.
- **Low-Cost Management**: Reduces labor, recruitment, training, and hardware costs.
- **Standardized Implementation**: Ensures consistent speech, customer classification, and emotional control.
**2. Customized Automatic Voice Interactive System**
- Realistic voice group calling with one-click initiation.
- Continuous learning and optimization through AI and manual adjustments.
- Industry-specific templates for different target audiences.
- Flexible settings for task scheduling, recording, and follow-up.
**3. Three Steps for Massive Marketing**
- **Intelligent Batch Calling**: Automated calling with real-time detection of invalid numbers.
- **Intelligent Voice Interaction**: Natural language processing for realistic conversations.
- **Automatic Intent Analysis**: Accurately assesses customer intent based on conversation duration and content.
**4. Five Key Features of Hanyun Communication's Intelligent Call Center**
Speech recognition, natural language understanding, multi-turn dialogue, knowledge maps, accurate big data, and seamless handover during calls.
**5. Comparison of Traditional vs. AI-Driven Sales**
- **Traditional Manual Sales**: 100–300 calls per day, affected by mood, high training costs, and difficulty in follow-up.
- **AI-Driven Sales**: Over 800 calls daily, 24/7 availability, self-learning capabilities, lower fixed costs, and easy data tracking.
**6. Core Technologies of Hanyun Communication**
- Speech recognition (ASR) with up to 90% accuracy.
- Self-developed DNN and NLP engines.
- Continuous self-improvement with silent agent mode.
**7. Technical Details for Large Customers**
- Enhanced speech recognition with 90% accuracy, better noise resistance.
- Fast response times (400ms locally, 800ms average).
- Advanced CRM integration with multi-concurrency and database docking.
- Mobile-friendly deployment via H5 and cloud/local options.
- Secure offline and cloud deployment.
**8. Five Major Security Systems**
- **Cybersecurity**: SSL/TLS encryption and professional security monitoring.
- **Application Security**: Encrypted data storage and bank-level transmission.
- **Physical Security**: 5-star telecom-grade facilities with disaster recovery.
- **System Security**: Alibaba Cloud-based security controls and comprehensive monitoring.
- **Management Security**: Confidentiality agreements to protect enterprise data.
**9. Value-Added Services**
- Database setup and optimization.
- 7x24 support and on-site training.
- Post-deployment maintenance and optimization.
**10. Key Features of Hanyun Communication’s Intelligent Voice System**
- **Liberating Talent**: Reduces repetitive tasks, allowing professionals to focus on meaningful work.
- **Data Analytics**: Creates detailed customer profiles using voice data and voiceprint recognition.
- **Cost Reduction**: Lowers recruitment, training, and management expenses.
**III. Applicable Industries**
- Financial and insurance: Intelligent collection, P2P lending, insurance, and investment.
- Telemarketing: Real estate, product promotion, legal services, and event invitations.
- Customer Service: Complaint handling, enterprise support, and after-sales service.
- Internet: Online customer service, notifications, and user engagement.
- Government: Teleconsultation, complaints, and appointment services.
- Recruitment and Training: Interview reminders, audition invitations, and course promotions.
Bandpass Filters
A band-pass filter or bandpass filter (BPF) is a device that passes frequencies within a certain range and rejects (attenuates) frequencies outside that range.
Bandpass filters are widely used in wireless transmitters and receivers. The main function of such a filter in a transmitter is to limit the bandwidth of the output signal to the band allocated for the transmission. This prevents the transmitter from interfering with other stations. In a receiver, a bandpass filter allows signals within a selected range of frequencies to be heard or decoded, while preventing signals at unwanted frequencies from getting through. Signals at frequencies outside the band which the receiver is tuned at, can either saturate or damage the receiver. Additionally they can create unwanted mixing products that fall in band and interfere with the signal of interest. Wideband receivers are particularly susceptible to such interference.[3] A bandpass filter also optimizes the signal-to-noise ratio and sensitivity of a receiver.
In both transmitting and receiving applications, well-designed bandpass filters, having the optimum bandwidth for the mode and speed of communication being used, maximize the number of signal transmitters that can exist in a system, while minimizing the interference or competition among signals.
Outside of electronics and signal processing, one example of the use of band-pass filters is in the atmospheric sciences. It is common to band-pass filter recent meteorological data with a period range of, for example, 3 to 10 days, so that only cyclones remain as fluctuations in the data fields.
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