聚焦零售和快速消费品行业：AI智能体如何帮助在各个接触点吸引购物者

Investment Rating - The report indicates a positive investment outlook for the retail and consumer packaged goods (CPG) industry, particularly focusing on the adoption of AI technologies [9][12]. Core Insights - The report highlights that generative AI projects continue to deliver returns on investment for businesses, with over 51% of executives in the retail and CPG sectors currently utilizing AI agents [10][12]. - There is a significant shift towards practical applications of AI, moving from planning to implementation, with a focus on enhancing customer engagement across various platforms [9][10]. - The report emphasizes the importance of AI agents in improving operational efficiency, customer experience, and competitive advantage in the retail and CPG sectors [117][120]. Summary by Sections AI Agent Evolution - AI agents are being widely adopted in the retail and CPG sectors, with applications ranging from chatbots to complex multi-agent systems that can perform tasks autonomously [23][26]. - 51% of executives report their organizations have deployed AI agents in production environments, indicating a growing trend towards AI integration [25][34]. Proven Areas for ROI with AI - The report identifies five key areas where AI has proven to deliver investment returns: customer service and experience (33%), marketing (32%), and security operations (26%) [52][56]. - Supply chain and logistics are highlighted as the top industry-specific use case for achieving ROI, ranking fourth overall [52][56]. Future of AI Investment - The report notes that AI budgets are increasing, with 50% of future AI budgets expected to be allocated to AI agents [14][126]. - Executives are increasingly reallocating funds from non-AI budgets to support AI initiatives, reflecting the strategic importance of AI in business operations [122][125]. Key Applications of AI Agents - AI agents are primarily used in customer service and experience (47%), marketing (44%), and security operations (41%), which are closely tied to business objectives [42][45]. - Other notable applications include quality control (39%) and supply chain logistics (38%), indicating a broad range of use cases for AI in the industry [42][45]. Challenges and Considerations - The report emphasizes the need for C-level executive support to ensure successful AI implementation and ROI realization [127][130]. - Data privacy and security remain top concerns when selecting AI solutions, with 36% of executives prioritizing these factors [135].