技术
- 分析与建模 - 机器学习
- 分析与建模 - 实时分析
适用行业
- 零售
- 运输
适用功能
- 物流运输
用例
- 连续排放监测系统
- 最后一英里交付
服务
- 数据科学服务
关于客户
Eckes-Granini 集团是欧洲领先的果汁生产商,营业额略低于 10 亿欧元。该公司每年销售约 8.5 亿升饮料,是德国领先的供应商。他们的产品由 40 家承运商分发到 650 多个客户交付地点,每年总共交付 35,000 件。该公司在分销过程中面临挑战,包括由于严格的时刻管理规则而产生的高额罚款以及大量回程空运行。
挑战
Eckes-Granini 是欧洲领先的果汁生产商,在分销过程中面临着重大挑战。该公司对零售客户实施的严格老虎机管理规则每年都会导致高额罚款。此外,该公司在返程时进行了大量空运行,这不仅增加了成本,而且还增加了二氧化碳排放。该公司正在寻找一种可以简化运营、提高承运人效率、减少装载时间并降低碳足迹的解决方案。
解决方案
Eckes-Granini 与 Shippeo 合作,在其分销流程中利用实时可见性。 Shippeo 提供的货物交付的预测性和实时可见性帮助 Eckes-Granini 实现了三个主要目标。首先,它减少了装载时间并优化了 Eckes-Granini 地点的运营。其次,它通过主动预计到达时间通知和更好地向客户提供商品来缩短卸货点的等待时间,从而提高了零售商的满意度。最后,由于停机时间和空载减少,运营商受益于更高效的运营。此外,Eckes-Granini和Shippeo与德国连锁超市Kaufland启动了卡车空间共享项目,以避免物流中的空运行和闲置时间。 Shippeo 结合大数据和机器学习,能够计算出 Eckes-Granini 仓库和 Kaufland 地点之间的最佳供应链。
运营影响
数量效益
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