腾讯生态赋能，销售易探索AI CRM的另一种服务模式

Core Insights - SalesEase has successfully served over 5,000 large and medium-sized enterprises across more than 60 sectors, including high-end manufacturing, automotive, and life sciences, showcasing the effectiveness of its deep collaboration with Tencent in creating a new model for the enterprise service market [1] Group 1: Partnership Overview - The deep collaboration between Tencent and SalesEase began seven years ago, driven by the need for a partner that understands industry-specific business processes to effectively implement Tencent's underlying connectivity and AI capabilities [1] - The partnership was solidified in early 2025, leading to the rapid launch of the AI CRM product NeoAgent, which has demonstrated commercial viability [1] Group 2: Technical and Strategic Synergy - The collaboration addresses key challenges in B2B operations, such as stability, security, and integration into existing workflows, enabling a transition from "usable" to "dare to use" AI solutions [2] - SalesEase's AI products are built on Tencent's cloud computing platform and vector database, providing clients with enhanced security and reducing concerns during domestic replacement selections [2] - The integration of SalesEase with Tencent's suite of B2B products, including WeChat Work and Tencent Meeting, creates a unique competitive advantage through "ecosystem-level integration" [2] Group 3: Operational Efficiency and Strategic Support - The integration with Tencent Meeting allows for a complete workflow from pre-meeting invitations to post-meeting summaries, transforming unstructured communication data into analyzable corporate assets [3] - Tencent's strategic support provides SalesEase with a solid foundation, enabling it to invest in product development and maintain a customer-centric approach [3] Group 4: Market Positioning and Future Outlook - SalesEase has quickly transformed its technological capabilities into a leading AI CRM product, supported by Tencent's comprehensive backing, positioning it as a reliable partner with long-term viability and continuous evolution [4] - The collaboration exemplifies the significance of focusing on industry know-how and scenario innovation in the AI era, highlighting the potential of a dual-driven model of "infrastructure + industry application" [6]