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Revolutionizing Car Rental Industry: Europcar Mobility Group's Data-Driven Approach
技术
- 分析与建模 - 机器学习
- 传感器 - 自动驾驶传感器
适用行业
- 汽车
- 运输
适用功能
- 物流运输
- 采购
用例
- 自主运输系统
- 交通模拟
服务
- 数据科学服务
挑战
Europcar Mobility Group 在机场租车以及根据市场变化准确预测需求波动的能力方面面临着具体挑战；例如，国际航空运输协会（IATA）预测，到 2037 年，往返亚太地区和亚太地区的航线每年将增加 23.5 亿乘客。
为了开始解决这个问题，Europcar 希望使用来自不同来源（公共和私人）的数据构建一个应用程序，包括车队交通和乘客量、预订和计费数据、新航线开通数据等等。这带来了另一个挑战，因为数据来自不同的地方，格式不同，但数量也很大。
客户
Europcar 交通集团
关于客户
Europcar Mobility Group是一家法国汽车租赁公司，于 1949 年在巴黎成立。控股公司 Europcar Group SA 的总部位于法国 Voisins-le-Bretonneux 的 Val Saint-Quentin 商业园区。
Europcar 建立了强大的汽车租赁网络，现已成为全球移动服务提供商。通过多个品牌（包括 Europcar 和 Goldcar）提供传统汽车和卡车租赁，并通过领先的汽车共享服务 Ubeeqo 等品牌提供新的移动服务。
解决方案
鉴于这些挑战，Europcar Mobility Group 的高管组建了一个专门的团队，该团队由整个企业的不同专家组成，包括分析师、IT 和预测主管。该小组的任务是合作构建一个解决方案，使公司能够就机场枢纽之间的车辆购买和移动做出更好的决策。
Europcar 使用 Dataiku 构建机器学习模型、创建仪表板和 Web 应用程序以供最终使用、自动化数据摄取以及清理/准备数据。
这说明了公司在数据民主化方面的进步和整体更大的承诺。
运营影响
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