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World’s Largest Car-Sharing Marketplace Maximizes Guest, Host Experience with AI
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
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。
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。
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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