Group 1: AI Agent in Customer Service - The introduction of AI Agents addresses traditional customer service challenges such as high labor costs, limited service hours, and inconsistent service quality, leading to more efficient and personalized customer interactions [1][2] - AI Agents leverage vast and continuously growing interaction data to improve their performance, utilizing mechanisms like reinforcement learning and feedback loops to learn from each customer interaction [1][3] - The dynamic updating of knowledge graphs and continuous fine-tuning of large language models (LLMs) enhance the AI Agents' ability to provide accurate and relevant information in real-time [2][3] Group 2: Company Overview - Tianrun Cloud - Tianrun Cloud, a leading SaaS provider in the customer contact field, has achieved over 500 million in revenue and holds more than 50% market share in several niche customer industries [4] - The company has experienced over 70% growth in AI product-related revenue over the past two years, indicating strong market demand for its AI solutions [4] - Tianrun Cloud has successfully implemented various AI Agent use cases, such as intelligent return and exchange agents and fault diagnosis agents, demonstrating the capability of AI to replace human roles in specific workflows [4][5] Group 3: Future Outlook - The company is positioned to capitalize on the evolving market by focusing on industry-specific AI solutions that meet customer needs, which is essential for gaining market recognition [5] - The transition from traditional call center operations to a full-cycle cloud contact center reflects the company's adaptability to industry changes and technological advancements [5]
客服范式将被AI智能体颠覆 天润云的未来值得期待吗？