DHL 优化运输流程，取得成功
公司规模
Large Corporate
地区
- America
国家
- United States
- Mexico
产品
- Blue Yonder’s modeling and network design solutions
技术栈
- Transportation modeler
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 分析与建模 - 预测分析
适用行业
- 零售
适用功能
- 物流运输
用例
- 供应链可见性(SCV)
- 补货预测
服务
- 系统集成
关于客户
DHL 是全球最大的快递和物流供应商。他们努力在当前业务约束条件下优化时间表、负载和流程，以满足客户要求。这包括寻找最具成本效益的解决方案来确定服务地点、最大化运输成本以及确定整合机会。他们需要更好地了解如何快速为客户项目提供解决方案，并需要更灵活和敏捷地控制其庞大的运营网络。他们的目标是节省运输成本，改进优化练习和结果沟通，复制和评估业务场景，并了解各种变量对拟议运输解决方案的影响。
挑战
作为全球最大的快递和物流供应商，DHL 每天都在努力满足客户需求，在现有业务限制内优化时间表、负载和流程。这需要找到最具成本效益的解决方案来确定服务地点、最大限度地降低运输成本并确定整合机会。该公司需要更好地了解如何快速提供客户项目解决方案，并需要更灵活、更敏捷地控制其庞大的运营网络。DHL 的目标是节省运输成本、改进优化练习和结果沟通、复制和评估业务场景并了解各种变量对拟议运输解决方案的影响。
解决方案
Blue Yonder 的建模和网络设计解决方案提供的分析和现实决策使 DHL 能够为其庞大的客户群提供所需的最佳解决方案。该公司利用建模大幅降低了全球其他制造、零售和消费品客户的运输成本。DHL 还使用运输建模器来创建战术解决方案、比较成本方案并确定变化如何影响服务水平。DHL 利用 Blue Yonder 的解决方案来解决各种问题，从评估不同发货日期对制造客户的影响，到确定零售客户的运输节省，再到确定消费品行业的整合机会。
运营影响
数量效益
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