利用物联网彻底改变库存管理和交付服务
技术
- 功能应用 - 库存管理系统
- 传感器 - 电压传感器
适用行业
- 汽车
- 建筑物
适用功能
- 采购
- 仓库和库存管理
用例
- 库存管理
- 时间敏感网络
关于客户
该客户是一家向中小型企业办公室销售办公设备产品的在线零售商。他们提供次日送货服务，确保客户及时收到订单。该公司进口产品并将其直接运送到当地的配送中心 (DC)，然后从那里将产品运送给客户。他们面临库存管理和交付服务方面的挑战，每个配送中心都面临库存过剩或缺货的风险。为了减轻这些风险，该公司正在建设补货中心，以简化其交付流程。
挑战
该客户是一家办公设备在线零售商，其库存管理和送货服务面临挑战。他们直接进口产品并将其运送到当地的配送中心 (DC)，这使每个配送中心面临库存过剩或缺货的风险。该公司试图通过建立补货中心并将产品从该中心运送到每个配送中心来降低这些风险。然而，他们收到的销售计划的准确性较低，并且严重依赖滞后指标。此外，卡车装载计划是手动完成的，这是一个耗时的过程，经常导致所需卡车数量的错误计算。最后，考虑到集装箱的容量，最小起订量的管理和复杂的订购条件都是在Excel中管理，效率不高。
解决方案
该公司采用了单一集成云原生平台 o9 来改善运营。借助 o9，他们能够使用 Facebook 开发的工具“Prophet”创建预测，从而提高销售计划的准确性。该平台还实现了卡车装载计划流程的自动化，通过考虑卡车的装载率和托盘数量来估计所需的卡车数量。此外，o9通过考虑各种订购条件自动创建订单请求，从而减少繁琐的工作，从而能够发出准确的订单请求。 o9 企业知识图用于构建市场、需求和供应知识模型，允许在单个集成平台上跨所有时间范围运行所有产品和 DC 的所有关键规划流程。 o9 利用其开放式架构，将专有开发的预测算法、安全库存逻辑和卡车装载逻辑融入 R 和 Python 中。
运营影响
数量效益
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