Dataiku > 实例探究 > 优化运输模式并降低成本：维斯塔斯与 Dataiku 的合作

优化运输模式并降低成本：维斯塔斯与 Dataiku 的合作

技术

分析与建模 - 机器学习
平台即服务 (PaaS) - 应用开发平台

适用行业

设备与机械
运输

适用功能

物流运输
维护

用例

楼宇自动化与控制
库存管理

服务

数据科学服务
系统集成

关于客户

维斯塔斯是可持续能源解决方案的全球领导者，拥有 29,000 名员工，致力于全球风能和混合动力项目的设计、制造、安装、开发和服务。他们已在 88 个国家安装了超过 160 GW 的风力涡轮机。

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挑战

维斯塔斯的服务分析团队在可持续能源领域面临着复杂的物流挑战，包括优化运输模式和减少不必要的成本。

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解决方案

该团队决定通过实施机器学习和高级分析解决方案来升级其数据运营。他们成立了高级分析卓越中心 (CoE)，并选择 Dataiku 作为他们的首选平台。

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运营影响

The collaboration with Dataiku has resulted in a fruitful partnership that has upskilled the Vestas team, enabling them to drive and deliver powerful projects independently. The most impactful use case that the Service Analytics team has built with Dataiku has been its express shipment recommendation model. This model helps dispatchers and planners know whether, for a given request, express shipping should be used. The model was built as a stand-alone web application within the Dataiku ecosystem. The close collaboration with the Dataiku data science team allowed Vestas to enhance the technical skills of its existing team, improve data access and data quality for the business, and become independent when delivering future projects on the platform. The team was able to deliver the project as desired, with a deployed machine learning model, APIs, and a stand-alone application for end-users within about one month.

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数量效益

Estimated cost reduction on express shipments by 11-36%
Improved time-to-market for Vestas’ industry- and function-specific analytic solutions
52% of express-shipped materials were not being put to use for at least 4 months, indicating potential for significant cost savings

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