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Krone: Revolutionizing Trailer Transport with Real-Time Data
技术
- 分析与建模 - 机器学习
- 分析与建模 - 实时分析
适用行业
- 特种车辆
- 运输
适用功能
- 物流运输
- 销售与市场营销
用例
- 自主运输系统
- 交通模拟
挑战
Krone 是欧洲最大的拖车制造商之一，它面临着对具有内置预计到达时间 (ETA) 预测功能的拖车日益增长的需求。这是由托运人不断变化的数字需求推动的，他们越来越期望将更多智能功能集成到他们的产品中。该公司年销售额达 19 亿欧元，拥有 5,300 多名员工，希望在其产品组合中添加更多世界一流的互联服务。该战略旨在更好地满足欧洲 15 个主要市场客户的需求，并实现在物流 4.0 世界中提供最完整的互联拖车服务的使命。
关于客户
Krone 是欧洲领先的拖车制造商，年销售额达 19 亿欧元。该公司拥有 5,300 多名员工，业务遍及非洲大陆 15 个主要市场。克朗的客户主要是托运人，他们越来越期望将更多智能功能集成到他们的拖车中。这些客户正在推动对具有内置预计到达时间预测功能的拖车的需求，这将使他们能够更有效地管理运输。通过满足这些不断变化的数字化需求，Krone 旨在更好地服务客户，并实现其在物流 4.0 世界中提供最完整的互联拖车服务的使命。
解决方案
为了应对这一挑战，Krone 与领先的实时可视性解决方案提供商 Shippeo 建立了全球战略合作伙伴关系。此次合作旨在将 Shippeo 的实时数据服务整合到 Krone 自己的远程信息处理解决方案中，标志着 Krone 朝着以新的拖车即服务 (TaaS) 业务模式引领市场的雄心迈出了重要一步。此次合作使 Krone 成为第一家在自己的拖车管理解决方案 Krone Telematics 中提供实时 ETA 预测的拖车制造商。该服务由 Shippeo 专有的机器学习算法提供支持，该算法引用了 200 多个数据参数，目前是市场上最准确、最可靠的发货和交付 ETA 服务。展望未来，克朗计划继续与 Shippeo 合作，将更多自动化、数字化和人工智能融入拖车运输流程。
运营影响
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