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云势数据破局AI客服“最后一百米” 智能服务生态加速成型
Huan Qiu Wang· 2025-07-28 09:24
Core Insights - Generative AI technology is rapidly transforming the customer service industry globally, with companies seeking to enhance service efficiency and experience [1] - The challenge lies in effectively implementing AI solutions that are stable, efficient, and easy to deploy, addressing issues such as response delays, multilingual support, and compliance for global deployment [1][2] Group 1: Product Offering - Cloud Data has launched the ConnectNow omnichannel intelligent contact center system, designed to address industry pain points and provide a ready-to-use intelligent service solution for companies, especially those expanding overseas [1][3] - The ConnectNow product includes multiple features such as multi-channel access, intelligent agent assistance, and ticket management, aimed at improving global after-sales service quality and customer satisfaction [1][3] Group 2: Technical Implementation - Cloud Data emphasizes a practical and engineering-focused approach to AI, utilizing Amazon Bedrock services to intelligently select the most suitable AI model for different customer service tasks [2] - The system achieves over 95% accuracy in understanding user intent and reduces response time to under 2 seconds, matching or exceeding human customer service speed [2] Group 3: Modular Design - The online customer service process is broken down into over 30 independent functional modules, allowing businesses to customize their customer service processes easily and reduce implementation costs [3][4] - ConnectNow's core communication capabilities are built on Amazon Connect, enabling rapid deployment of overseas service nodes through a global network of 117 data center regions [3][4] Group 4: Cost Efficiency - The implementation of ConnectNow has led to a 40% reduction in operational and idle costs for enterprises, effectively overcoming barriers to applying advanced AI technology in daily customer service scenarios [4][6] - In specific case studies, such as with DeYe Co., customer service efficiency improved by over 30% after integrating ConnectNow, which supports over 30 languages and operates 24/7 [6] Group 5: Future Trends - The future of intelligent customer service is expected to evolve towards seamless human-machine interaction, with the potential for users to customize their AI voices [7][8] - Predictions indicate that within three years, intelligent customer service will handle 80% of basic services, leading to the emergence of new roles such as knowledge trainers and service data analysts [7][9]