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 WISE2025 Business King Conference aims to anchor the future of Chinese business amidst uncertainty, focusing on the transformation driven by technology and new business narratives [1][2]. Group 1: AI Applications in Logistics - The CTO of Huolala shared insights on the application of AI in enhancing operational efficiency and user experience, emphasizing the importance of AI in the logistics sector [5][7]. - Huolala has expanded its services to over 400 cities globally, with nearly 20 million active users and 2 million active drivers, highlighting the scale of its operations [7]. - The company identified high-priority areas for AI implementation, including business safety, research and development, product, and operations, based on a 2023 Goldman Sachs report on AI potential [7][11]. Group 2: AI Platforms Developed - Huolala developed three key AI platforms: Wukong, Dolphin, and Evaluation Labeling Platform, focusing on internal efficiency and application development rather than foundational models [11][12]. - The Wukong platform allows non-experts to create basic enterprise intelligent applications quickly, featuring visual process orchestration and zero-code construction [13][15][16]. - The Dolphin platform is designed for algorithm developers, streamlining the entire process from data training to model lifecycle management [18][19]. Group 3: AI Innovations and Impact - AI has been utilized for real-time safety monitoring in logistics, resulting in a 30% reduction in risk orders related to hazardous materials and illegal passenger transport [21]. - AI Coding has been integrated into 90% of individual and team workflows, covering 60% of the development process, although it only improves efficiency by about 10% [22][23][24]. - The company implemented an AI-based "photo goods selection" feature, allowing users to receive vehicle recommendations based on the dimensions of their cargo, enhancing user experience [25]. Group 4: Cost Reduction and Risk Management - AI has been employed to optimize SMS content, leading to a 12% reduction in messaging costs while also improving compliance and risk management [27]. - The integration of AI digital humans has improved customer interactions, achieving a 94% accuracy in semantic recognition and a 92% realism in AI responses [29]. Group 5: Future Directions - The company anticipates that advancements in foundational models will address current challenges, with a focus on multi-modal model solutions for improved operational efficiency [31]. - Future goals include enhancing user experience through end-to-end AI assistants for tasks like intelligent vehicle selection and internal operations [31].