DataRobot 帮助 D&G 在价格合适的情况下取得成功
公司规模
Large Corporate
地区
- Europe
国家
- United Kingdom
产品
- DataRobot Automated Machine Learning Platform
技术栈
- Python
- R
- DataRobot API
实施规模
- Enterprise-wide Deployment
影响指标
- Revenue Growth
- Customer Satisfaction
技术
- 分析与建模 - 预测分析
适用功能
- 商业运营
- 销售与市场营销
用例
- 补货预测
服务
- 数据科学服务
关于客户
Domestic & General (D&G) 是一家专门为家用电器提供专业保修的公司。该公司已运营 100 多年，总部位于英国。D&G 在 14 个国家/地区拥有超过 1600 万客户，为 200 多种不同类型的电器提供保障。该公司专注于客户满意度和个性化，是最大的家电和小工具保险公司。D&G 提供的保障范围比其他保修提供商更广，旨在为每位客户提供个性化、相关的补充服务和产品，以满足每位客户的需求。
挑战
Domestic & General (D&G) 是一家专门为家用电器提供保修服务的公司，该公司面临着为客户提供个性化和相关服务方面的挑战。该公司在英国拥有 900 万客户，在全球拥有 1600 万客户，因此，该公司的资源受限于他们试图覆盖的个性化客户服务和产品的规模。该公司的定价团队必须为每个客户建立大量模型，这是一个费力又费时的过程。D&G 希望预测客户在续约时流失的可能性，并确定客户最有可能对他们获得的保修范围感到满意并续订保单的价格点。但是，要向个人客户提供这种程度的个性化服务，需要建立大量定价模型，而这无法通过他们现有的资源进行扩展。
解决方案
D&G 转向 DataRobot 的自动化机器学习平台，以自动构建其预测机器学习模型。该公司于 2017 年初与 DataRobot 启动了 POC 合作，使用 DataRobot API 测试价格优化方法。与 R 中的现状相比，POC 在更短的时间内提供了更准确的模型。在获得支持和安全批准以继续使用云后，D&G 便开始运行并准备好为所有客户优化定价。现在，他们所有的定价模型都是在 DataRobot 中构建的，并输入到 D&G 的价格优化系统中。对于每个客户，D&G 的定价系统都会调用 DataRobot 并识别客户的个人资料。然后，DataRobot 为每个客户提供 200 个价格点，并在每个价格点进行预测。然后，系统会确定客户最有可能续约并对其服务感到满意的最佳价格，并在续约时将其提供给客户。
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