1.0勤策知识库https://qince.com/insights勤策https://qince.com/insights/author/chenyuxin/AI巡店案例拆解：从业务痛点到勤策落地路径 - 勤策知识库rich600338<blockquote class="wp-embedded-content" data-secret="mtPgYqKzLd"><a href="https://qince.com/insights/cases/ai-9a943f7f-2/">AI巡店案例拆解：从业务痛点到勤策落地路径</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://qince.com/insights/cases/ai-9a943f7f-2/embed/#?secret=mtPgYqKzLd" width="600" height="338" title="《 AI巡店案例拆解：从业务痛点到勤策落地路径 》—勤策知识库" data-secret="mtPgYqKzLd" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script>
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https://qince.com/insights/wp-content/uploads/2026/06/cover_ff4acf0cb111a5dbf5f33b383e12914c_1782358758.png1200675AI巡店案例拆解：从业务痛点到勤策落地路径 核心摘要 本文以某全国性快消品企业区域分销管理业务为背景，聚焦其终端门店执行质量不稳定、人工巡检覆盖率低、问题响应滞后等共性痛点，系统拆解其借助AI视觉识别+移动作业平台实现“AI巡店”能力升级的全过程。改造不依赖定制算法开发，而是基于标准化AI模型与勤策PaaS能力组合，打通“任务下发—图像采集—智能识别—闭环处