朗镜科技（Trax中国）CEO汤劲武SPAR峰会分享：从模型到毛利，AI重塑零售效率的闭环

Core Insights - The retail industry's competitive paradigm has fundamentally shifted, moving away from traditional methods of increasing manpower and budgets to a focus on building an efficient data-driven decision-making loop [2] Group 1: Retail AI Evolution - The evolution of retail AI can be categorized into three waves: - The first wave is digital record-keeping, which involves moving business operations online for traceability [3] - The second wave is automated recognition, utilizing CV/OCR technology to address visibility issues [5] - The third wave focuses on reasoning and closed-loop systems, transitioning from mere observation to understanding and execution [5] Group 2: Operational Efficiency - The current challenges in terminal execution include out-of-stock (OSA) issues, inconsistent price tags, and improper displays, which cannot be resolved solely through traditional computer vision techniques [5] - A breakthrough is achieved through the integration of visual data, vertical knowledge, and reasoning [5] Group 3: AI Implementation and Impact - The company emphasizes a methodology that ensures AI capabilities directly impact core business metrics and profit margins [7] - A forward-looking concept introduced is that retail execution is becoming software-driven, with KPIs transforming into APIs, allowing for automated, trackable, and reusable execution instructions [7] - This transformation leads to a programmable and closed-loop retail operation model, significantly enhancing efficiency [7] Group 4: Results and Future Vision - The implementation of AI-driven end-to-end closed loops can reduce manual review workloads by 60-80%, improve promotional execution accuracy by 8-12 percentage points, and enhance OSA by 2-4 percentage points while reducing store inspection time by 40% [9] - The company's mission is to empower the industry by converting cutting-edge AI technology into user-friendly solutions that deliver tangible value, emphasizing that AI's true worth lies in its ability to improve margins and efficiency [9]