Core Viewpoint - The article discusses the challenges and opportunities faced by the restaurant industry in the digital age, particularly focusing on the application of generative BI (Business Intelligence) to enhance decision-making and operational efficiency [2][3]. Group 1: Digital Transformation in the Restaurant Industry - The restaurant industry is experiencing a dual challenge of "data flood" and "decision thirst," which generative BI and AI technologies aim to address [3]. - XIBEI has been on a digital journey since 2010, establishing a comprehensive digital network that connects the supply chain to service endpoints [3]. - The goal is to transform data visualization into intelligent decision-making through the application of generative BI [3][4]. Group 2: Generative BI Implementation Challenges - XIBEI's core objective in generative BI is to deliver the right data at the right time, in the right way, to the right people, which presents significant challenges in practical implementation [4][5]. - The main difficulty lies in balancing information density; too much information can overwhelm users, while too little can hinder decision-making [5]. - Data governance is identified as a prerequisite for BI implementation, with a focus on ensuring data quality and standardization across various business processes [9]. Group 3: User-Centric Data Strategies - XIBEI has developed a three-tier user profile system to tailor data push strategies for different roles within the organization, such as store managers and chefs [7]. - The company is exploring the potential of large models for data correlation analysis and intelligent algorithm optimization [8]. Group 4: Practical Applications and Future Plans - Current applications of generative BI at XIBEI include intelligent customer service and activity effectiveness prediction [10]. - The company faces challenges in standardizing operational procedures, such as inventory management, to ensure compliance and effective use of tools [11][12]. - Future plans involve creating two intelligent systems: a marketing activity library for ROI prediction and an operational AI system for real-time strategy recommendations [16]. Group 5: Industry Insights and Recommendations - XIBEI advises against blindly pursuing new technologies without first ensuring data accuracy and measuring the return on investment [17]. - The article emphasizes the importance of establishing a closed-loop system of "data → insight → action" to help restaurant businesses navigate market uncertainties [17].

以下文章来源于虎嗅智库服务 ，作者刘越 虎嗅智库服务 . 虎嗅智库是聚焦企业数字化、AI创新实践的新型研究服务机构。 点击卡片 关注我们 出品丨虎嗅智库 作者丨刘越 随着AI技术的不断发展，零售消费企业都在积极探索通过生成式AI提升数据驱动决策能力的方式。 以餐饮企业为例，随着客户量的增加，用餐习惯的改变、渠道的增加，数据量逐渐增大，以及非结构化数据的大量出现，传统BI已无法满足客户处理大规模数据 以及实时分析等需求，亟需寻求新的工具以支撑业务的发展。而当国产大模型DeepSeek的语义理解能力遇上生成式BI，又会碰撞出怎样的火花？在零售消费行 业，又有哪些落地场景？ 崔银亮 京东物流数据技术专家 会议概况 探讨要点 参会人群 零售消费企业品牌方数字化/技术负责人 基于此，本期502线上研讨会重点聚焦生成式BI在零售消费企业的落地应用案例，通过对它们的呈现，能够让企业清楚知晓生成式 BI 落地可能出现的场景、所采 用的落地方式，以及在落地过程中可能碰到的各类挑战，从而为行业内的企业提供有益的参考和明确的发展方向。 扫码/点击立即报名 参会嘉宾 张小龙 Kyligence 解决方案高级总监 张晨 北极九章资深解 ...