[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"content-doc-dcio83a33987":3},{"user":4,"document":8,"mainDocument":27,"columnUrl":29,"subscription":30,"footer":42,"text":77},{"isAuthenticated":5,"isAdmin":5,"displayName":6,"avatarUrl":6,"nid":6,"groupLevel":7},false,"",-10,{"id":9,"fullTitle":10,"subTitle":6,"url":11,"columnId":12,"columnName":13,"columnUrl":14,"summary":6,"contentHtml":15,"mainContentHtml":6,"posterUrl":16,"createDate":17,"displayDate":18,"displayDateSlash":19,"pageviews":20,"tags":21,"hidden":5,"isSubContent":5,"replyDocOrTargetId":6,"contentType":23,"videoId":6,"liveVideoUrl":6,"duration":24,"price":24,"priceText":25,"priceBadgeText":25,"priceBadgeClass":26,"freeForMinGroupLevel":24,"redirectUrl":6,"readyToStream":5},"dcio83a33987","人工智能变“人工智障”？星巴克(SBUX)AI库存“翻车”，1.1万家门店重回人工盘点","\u002Fdoc\u002Fdcio83a33987","col18178739ee","美股资讯","\u002Fcol\u002Fcol18178739ee","\u003Cp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">美股投资网获悉，星巴克(SBUX)已暂停在北美地区使用一款新上线的人工智能库存管理工具。门店员工反映该工具频繁出现故障，非但未能解决库存问题，反而使其进一步恶化，成为零售业AI落地“水土不服”的最新案例。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">这款AI系统此前被部署至超过1.1万家直营门店，旨在通过搭载计算机视觉技术的平板设备，自动化盘点牛奶、糖浆、浇头等物料的库存。作为首席执行官布莱恩·尼科尔(Brian Niccol)力推的供应链AI化改造的一部分，该工具希望取代人工盘点，加快库存作业速度并提升产品供应稳定性。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">然而，据多位咖啡师及门店经理透露，该工具出现多处“硬伤”，频繁误判货架情况，混淆相似产品，有时甚至完全无法识别物料。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">门店既遭遇了意料之外的缺货(系统认为库存充足，实际已空)，又收到了大量不必要的补货(系统误报短缺，仓库大量发货)。一位西雅图的店长无奈地表示“原本为了省时间才用AI，现在我们反而要花双倍时间去核对AI的盘点结果，再手动修正。”\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">面对上述运营层面的实际困难，星巴克正着手回归替代性流程，放弃AI盘点工具，同时推进更广泛的技术升级。公司发言人在声明中强调“我们始终将门店伙伴和顾客的体验放在首位。该试点工具未能达到预期的准确性和可靠性标准，因此我们决定暂停，并将基于一线反馈进行彻底优化。”\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">不过，星巴克并未全盘否定人工智能在供应链中的作用。总部表示，AI驱动的能力平台仍然是公司解决长期存在的缺货问题的核心战略，其他正在推进的供应链现代化项目(如预测算法、自动补货系统)已经取得了积极成效。此次暂停仅针对“计算机视觉自动盘点”这一具体场景，公司会继续探索更成熟的技术方案。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">AI在实体零售落地屡屡“翻车”。星巴克的这一挫折，折射出人工智能在复杂物理环境中部署的共同挑战如环境干扰门店灯光、货架角度、产品遮挡等实际条件远超实验室测试范围;产品多样性星巴克SKU繁多，季节性新品、地区限定款不断变化，AI模型难以快速适应;容错率极低餐饮零售对库存精度要求极高，一个糖浆缺货就可能影响几十杯饮品的出品。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">对比之下，纯线上的库存管理系统更容易成功，因为数据本身就是结构化的。而实体门店的“最后一厘米”感知，依然是当前AI技术的薄弱环节。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">最专业的美股资讯,推荐美股大数据 \u003Ca href=\"https:\u002F\u002FStockwe.com\u002F\">https:\u002F\u002FStockwe.com\u002F\u003C\u002Fa>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">如何识别美股市场异常波动？美国机构主力资金买卖情况，出货和吸筹，使用美股投资网VIP会员，2008年成立于美国硅谷，由前纽约证券交易所分析师Ken创立，联合多位摩根斯坦利分析师，谷歌 Meta工程师利用AI和大数据，配合十多年美股实战经验和业内量化模型，建立了一个股市数据库 \u003Ca 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buy@TradesMax.com 美国电话 626-378-3637","公司介绍","\u003Cp class=\"MsoNormal\">美股大数据 \u003Ca href=\"https:\u002F\u002Fstockwe.com\" target=\"_blank\" rel=\"noopener\">StockWe.com\u003C\u002Fa> 是一个美国领先的金融和美股信息大数据提供商，紧盯华尔街金融市场和行情，2008年成立于美国硅谷，创始人是前纽约证券交易所资深分析师Ken，联合多位摩根斯坦利分析师，谷歌 Meta工程师利用AI和大数据，配合十多年美股实战经验和业内量化交易模型，每天处理海量股票数据：挖掘潜力大牛股，捕捉期权异动大单，实时主力资金流向、机构持仓变化、川普突发新闻，美股买卖信号第一时间发到您手机APP。\u003C\u002Fp>","专业美股投资者都在这里",{"loading":78,"search":79,"searchPlaceholder":79,"hotContent":80,"draft":81,"noData":82,"searchNoData":83,"edit":84,"editVideo":85,"courseContent":86,"more":87,"buyNow":88,"subscribeNow":89,"encoding":90,"paidContent":91},"Loading...","搜索","热门内容","草稿","目前没有任何内容公布","当前检索内容没有数据","编辑","编辑视频","课程内容","更多","立即购买后观看","- 立即订阅 -","视频编码中...","付费内容"]