全球最大的汽车共享市场利用人工智能最大程度提升宾客和主人的体验
公司规模
Large Corporate
地区
- America
- Europe
国家
- United States
- Canada
- United Kingdom
产品
- DataRobot AI Cloud
- MLOps
- AutoML
技术栈
- Machine Learning
- Artificial Intelligence
- Data Analytics
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 机器学习
- 分析与建模 - 预测分析
适用行业
- 运输
适用功能
- 物流运输
- 销售与市场营销
用例
- 预测性维护
- 车队管理
- 欺诈识别
服务
- 数据科学服务
关于客户
Turo 是全球最大的点对点汽车共享市场，总部位于旧金山。该公司将客人和车主连接起来，实现互利共赢。该公司的知名度不断提高，拥有超过 130 万活跃客人和超过 85,000 名活跃主人，为 1,300 种独特品牌和型号的 160,000 多辆活跃汽车提供服务。Turo 在美国、加拿大和英国的 7,500 个城市开展业务，客人无需排队租车，即可从当地主人那里预订自己喜欢的车辆。同时，车主还可以从原本闲置的车辆上赚取额外的现金。
挑战
Turo 是全球最大的汽车共享市场，该公司希望通过利用数据洞察来优化其运营。该公司在美国、加拿大和英国将客人和车主联系起来，实现互利共赢。Turo 拥有超过 130 万活跃客人和超过 85,000 名活跃主人，为 1,300 个独特品牌和型号的 160,000 多辆活跃汽车提供支持，因此 Turo 需要一种方法来有效管理其庞大的运营业务。该公司旨在利用数据洞察来优化定价、风险和营销策略。然而，其运营规模之大给数据管理和分析带来了巨大挑战。
解决方案
Turo 转向 DataRobot 的 AI 云平台，以获得机器学习和增强智能解决方案。该平台影响 Turo 业务的三个主要部分：定价、风险和营销。主人可以选择自行定价，也可以使用 Turo 基于供需预测和车辆特征的自动定价建议。为了最大限度地降低风险，该公司依靠基于 ML 的承保模型来确定事故发生的可能性、预期严重程度和预期收款。为此，它会权衡许多因素，包括汽车类型、城市或非城市使用、预订时间、驾驶员年龄，甚至客人提前多久预订了车辆，以帮助设定价格。此外，他们还开发了实时欺诈检测模型。Turo 还使用机器学习来帮助预测客户的终身价值，使他们能够设定营销预算并确定营销投资回报率。
运营影响
数量效益
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