Core Insights - The company has implemented an AI-driven customer feedback system in its service hall to enhance customer satisfaction and operational efficiency [1] - A three-month survey identified pain points in manual supervision, leading to the development of an AI video recognition tool for real-time customer feedback [1] - The new system has improved the identification of at-risk customers, achieving over 90% coverage in recognizing customer complaints and concerns [1] Group 1 - The AI video recognition tool captures customer satisfaction data and triggers alerts for "unsatisfied" ratings, allowing for immediate intervention by staff [1] - The company has established a closed-loop management system that integrates intelligent monitoring, risk warning, and performance incentives [1] - The initiative aims for zero incidents of escalated customer complaints by Q3 2025 [1] Group 2 - The risk label system combines customer feedback, return visit records, and abnormal sound information with AI monitoring tools [1] - The transition from manual inspections to digital supervision represents a significant innovation in the company's operational model [1] - The focus on autonomous implementation of core business services is a key strategy for improving customer service quality [1]