利用机器学习和 Google Cloud 优化零售定价
技术
- 分析与建模 - 机器学习
- 分析与建模 - 预测分析
适用行业
- 教育
- 设备与机械
适用功能
- 销售与市场营销
- 仓库和库存管理
用例
- 需求计划与预测
- 预测性维护
服务
- 云规划/设计/实施服务
- 数据科学服务
关于客户
7Learnings 的客户是想要优化定价策略的零售商。他们的客户之一 Vitafy 自从与 7Learnings 合作以来，销售额增长了 18%，收入增长了 12%，利润增长了 10%。
挑战
7Learnings 是一家总部位于柏林的初创公司，利用机器学习工具帮助零售商优化定价。他们需要一种解决方案来存储和分析大量数据以做出准确的预测。
解决方案
7Learnings 部署了 Google Cloud 的可扩展解决方案，包括 BigQuery、App Engine、Cloud Run 和 Looker Studio。 BigQuery 帮助提取、存储和分析数据，而 Looker Studio 提供数据可视化。 App Engine 和 Cloud Run 允许扩展和部署软件服务。
运营影响
数量效益
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