山东移动以AI赋能连锁商企 打造智慧客流分析系统

Core Insights - Customer flow management is central to retail competition, directly influencing store performance and precision marketing capabilities [1] - The integration of AI and video technology in customer flow analysis systems is essential for high-quality development in the digital economy [1] Group 1: Customer Flow Analysis System - Shandong Mobile has developed a "Customer Flow Analysis System" that integrates over 2000 video channels for local chain enterprises, enhancing smart operations and service quality [1] - The system utilizes video intelligence and deep learning to provide merchants with insights into customer flow trends and profiles, facilitating a shift from experience-driven to data-driven operations [1][3] Group 2: Real-time Monitoring and Data Collection - For individual stores, the system offers real-time customer flow monitoring and all-day data collection, ensuring operational safety and reflecting in-store customer flow changes [3] - AI capabilities allow for the identification of customer demographics such as gender and age, with statistical analysis available on daily, weekly, and monthly bases [3] Group 3: Multi-store Analysis and Decision Making - The system provides cross-store summary analysis for chain enterprises, integrating customer flow data from various locations to form a comprehensive view [4] - Managers can track overall customer flow trends, customer profiles, and peak times, enabling comparisons of operational performance across different stores [4] Group 4: Broad Application Scenarios - The system is applicable in diverse settings including retail, dining, shopping malls, cinemas, museums, and exhibitions, promoting data-driven refined operations [6] - Shandong Mobile aims to transform traditional stores into "smart stores" through 5G and AI technologies, enhancing efficiency and service experience [6]