货拉拉CTO张浩：AI的胜负手，不在基础模型，而在「应用场」

Core Insights - The WISE 2025 Business King Conference aims to anchor the future of Chinese business amidst uncertainty, focusing on the intersection of technology and business narratives [1] - The conference features immersive experiences and discussions on AI's impact across various industries, emphasizing the importance of practical applications and real-world insights [1][4] Company Overview - Huolala, founded in Hong Kong and operating in over 400 cities globally, has 20 million active users and 2 million active drivers, focusing on matching cargo owners with drivers [7] - The company has been exploring AI applications since the emergence of ChatGPT, prioritizing areas where AI can enhance operational efficiency and user experience [7][8] AI Implementation - Huolala identified high-priority areas for AI deployment, including business safety, research and development, product, and operations, based on a 2023 Goldman Sachs report [8] - The company shifted focus from developing foundational AI models to creating its own AI application platforms, resulting in the development of three key platforms: Dolphin, Wukong, and Evaluation Labeling [10][14] Platform Features - The Wukong platform allows non-professionals to build basic enterprise intelligent applications quickly, featuring visual process orchestration and zero-code construction [13] - The Dolphin platform is designed for algorithm developers, streamlining the entire process from data training to model lifecycle management [14] AI Applications and Innovations - AI has been utilized for real-time safety monitoring in freight transport, reducing risk order volume by 30% and achieving a 100% order reminder rate [16] - AI Coding has been integrated into 90% of individual and team workflows, covering 60% of the development process, although it currently only improves efficiency by about 10% [18][19] Cost Savings and Efficiency - The company has implemented AI to optimize SMS communications, resulting in a 12% cost reduction while enhancing risk compliance [22] - AI-driven user feedback analysis has improved the identification of user concerns, leading to more responsive service adjustments [20][21] Future Directions - The company aims to enhance its AI capabilities through multi-modal models and improve user experience with end-to-end digital assistants for various operational tasks [26]