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Chef Nicole Miami's Transformation: From Manual Planning to Automated Efficiency with Upper
技术
- 分析与建模 - 实时分析
- 机器人 - 自动导引车 (AGV)
适用行业
- 建筑物
- 运输
适用功能
- 物流运输
用例
- 最后一英里交付
- 车载远程信息处理
挑战
Chef Nicole Miami 是一家位于南佛罗里达州的健康餐饮配送服务公司，在优化配送业务方面面临着重大挑战。该公司手动管理其路线，这涉及到一个劳动密集型过程：导航网站后端、提取数据、对地址进行排序以及为每个司机维护单独的 Excel 表格。这个过程不仅耗时，而且还带来了代价高昂的人为错误的风险。该公司在识别重复地址和确保路线准确性方面遇到了困难，特别是在送货量很大的情况下。由于缺乏实时适应性，他们很容易受到不可预见的驾驶员紧急情况或车辆问题的影响，从而导致频繁的最后一刻中断。有效的资源分配也是一个挑战，阻碍了他们有效优化配送路线的能力。
关于客户
Chef Nicole Miami 是一家位于南佛罗里达州的健康送餐服务公司。该公司致力于制作美味且营养丰富的膳食。他们手动管理送货路线，这是一个劳动密集型且耗时的过程。该公司一直在努力识别重复地址、确保路线准确性并适应实时变化。这些挑战阻碍了他们的发展和效率，迫使他们寻求更敏捷、更智能的解决方案。
解决方案
为了寻找更有效的解决方案，厨师 Nicole Miami 向 Upper 求助。 Upper 提供了用户友好的界面和功能，直接解决了公司的痛点。它允许直接从 Excel 导入地址列表，从而简化了路线规划流程，减少了手动数据输入，并每周节省了大约 10 个小时的办公时间。 Upper 还能够识别和处理重复的地址，确保司机不会进行多余的停车，从而提高整体路线效率并减少送货时间。此外，Upper 还能够实时快速调整路线，这在驾驶员出现意外紧急情况或车辆问题的情况下发挥了不可估量的作用。这种适应性确保即使面对意想不到的挑战，交付也能保持在正轨上。
运营影响
数量效益
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