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].

Core Viewpoint - The article emphasizes the importance of generative BI in enhancing data-driven decision-making capabilities for retail and consumer enterprises, particularly in the context of increasing data volume and complexity due to changing consumer habits and channels [3]. Group 1: Application of Generative BI - Retail and consumer enterprises are exploring generative AI to improve their data processing and real-time analysis capabilities, as traditional BI tools are becoming inadequate [3]. - The article highlights the potential applications of generative BI in the retail sector, showcasing various use cases and the methods of implementation [3]. Group 2: Challenges and Strategies - The discussion will cover the challenges that enterprises may face during the implementation of generative BI and the key strategies they can adopt to overcome these challenges [5]. - The emergence of new reasoning models like DeepSeek-R1 is expected to bring significant changes, with certain scenarios in the retail sector being more suitable for these models than others [5]. Group 3: Future Trends - The article aims to explore the development trends of generative BI and its implications for the retail and consumer industry [5].