Core Insights - The rapid expansion of chain convenience stores has led to significant operational challenges as the number of stores increases, necessitating complex management and support systems [1][4] - Traditional human-centered support models are becoming unsustainable due to rising costs and declining efficiency, creating a dilemma for chain brands [2][5] - The emergence of AI, particularly through solutions like ZENAVA, is transforming operational support from human-driven to AI-driven, enhancing efficiency and reducing costs [3][11] Group 1: Operational Challenges - Chain convenience stores face a core challenge in efficiently managing and supporting a growing number of outlets, which generates substantial operational traffic [2] - The reliance on traditional human support systems has resulted in escalating costs and diminishing returns on efficiency as the number of stores increases [5] - Inefficiencies arise from slow processes and fragmented communication across departments, leading to wasted time and resources [6][9] Group 2: AI Transformation - ZENAVA represents a shift from human execution to intelligent collaboration, enabling automated processes that enhance operational efficiency [11][13] - The AI can autonomously handle tasks previously managed by human customer service, such as damage reporting and supply chain issue resolution, significantly speeding up response times [12] - By integrating AI into the operational framework, chain convenience stores can transition from passive service models to proactive collaboration, fundamentally changing the support logic [13]
从客服到“数字员工”：天润云（02167.HK）AI如何接管连锁门店的后台运营