利用预测分析实现动态定价
公司规模
SME
地区
- Europe
国家
- France
产品
- PriceMoov
- Dataiku Data Science Studio (DSS)
技术栈
- GMM
- DBSCAN Time Series Forecasting
- Random Forest
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Revenue Growth
技术
- 分析与建模 - 预测分析
适用行业
- Software
适用功能
- 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
PriceMoov 是一款即插即用的收益管理解决方案。Pricemoov 成立于 2016 年，发展势头强劲。其部分用户是汽车租赁服务，也有航空公司和活动组织者。该公司通过详细细分来权衡商品的内在价值、季节性和客户自身的属性，为客户提供最佳定价建议和解决方案。为此，Pricemoov 从客户那里收集数据集，并通过分区每天更新。
挑战
PriceMoov 是一家为客户提供最佳定价建议和解决方案的服务公司，但它面临着来自旧 SI 系统、Oracle 或 MySql 的数据的挑战。这些数据很脏，需要专职开发人员用 PHP 执行冗长的 ETL 步骤进行清理。清理后，数据集被痛苦地输入到模型中，因为它们是定制的管道。完成后，为下一位客户复制和部署的过程需要数周时间。这个漫长而艰巨的数据准备过程导致定价建议过时。
解决方案
PriceMoov 发现了 Dataiku 数据科学工作室 (DSS)，得益于数据清理流程显著加快以及能够快速复制现有工作，该工作室使他们能够在短时间内为潜在客户运行概念验证，从而改变了他们的业务。Pricemoov 的数据部门现在使用 Dataiku 复制现有工作流程，以便快速启动并运行潜在客户的概念验证，显著加快数据清理和导出速度，并通过将表明需求的数据与客户的支付意愿相结合，更好地定义随时间变化的每位客户特定价格。
运营影响
数量效益
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