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Revolutionizing Dynamic Pricing with Pricemoov and Dataiku
技术
- 分析与建模 - 预测分析
- 自动化与控制 - 人机界面 (HMI)
适用行业
- 电子商务
- 零售
用例
- 人员跟踪与监控
- 时间敏感网络
挑战
PriceMoov 面临的挑战是源自旧的 SI 系统、Oracle 或 MySql 的数据很脏，需要全职开发人员在 PHP 中执行长 ETL（提取-转换-加载）步骤以进行清理。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，下一个客户的复制和部署过程需要数周时间。
客户
PriceMoov
关于客户
PriceMoov是一种即插即用收益管理解决方案。 PriceMoov 成立于 2016 年，一直在经历强劲的增长。它的一些用户是汽车租赁服务，还有航空公司和活动组织者。 PriceMoov 提供一项服务，通过详细细分权衡商品的内在价值、季节性和客户自身的属性，为客户提供最优定价建议和解决方案。
解决方案
PriceMoov 发现了 Dataiku，它不仅使他们能够在短时间内为潜在客户运行概念验证，这得益于明显更快的数据清理过程和快速复制现有工作的能力，而且最终使他们能够提供总体上更好的定价选择。
PriceMoov 的数据部门现在使用 Dataiku 来：
- 复制现有工作流程，为潜在客户快速启动并运行概念验证。
- 显着加快数据清理和导出速度，利用 Dataiku 的可视化点击式界面让经验不足的员工能够协助完成这一过程，并让资深数据科学家专注于建模而不是数据准备和管道。
- 借助直观、可视的点击式界面，非技术团队（如营销）可以培养他们的技能并扩大他们的工作量。从长远来看，目标是让它们有效且独立地利用网站点击流和 HDFS 数据集。
- 通过将指示需求的数据与客户的支付意愿相结合，更好地定义随时间演变的每位客户的特定价格。
- 通过快速应用地理集群为当地分支机构提供具体的洞察力。
- 快速向实体店的当地分支机构提交定价选项，然后他们可以选择接受或不接受选项，并可以无缝分享反馈以改进模型。
运营影响
数量效益
相关案例.
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