Databricks > 实例探究 > 利用 Databricks Lakehouse 平台转变零售和消费品

利用 Databricks Lakehouse 平台转变零售和消费品

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技术
  • 功能应用 - 库存管理系统
  • 机器人 - 并联机器人
适用行业
  • 消费品
  • 零售
适用功能
  • 采购
  • 销售与市场营销
用例
  • 需求计划与预测
  • 库存管理
服务
  • 数据科学服务
关于客户
Al-Futtaim 是一家中东零售和消费品公司,经销丰田、宜家、Ace Hardware 和 Marks & Spencer 等全球品牌。他们在各个品牌中生成大量数据,并旨在优化其业务的所有领域。
挑战
Al-Futtaim 一直在与数据孤岛和遗留系统作斗争,这些系统阻碍了他们统一客户数据和扩展分析需求的能力。商业智能缓慢,预测有限,客户洞察也很笼统。
解决方案
Al-Futtaim 采用 Databricks Lakehouse 平台来创建统一的客户视图并改进决策。他们利用推荐引擎、客户终身价值、需求预测和广告效果。
运营影响
  • Since moving to Databricks Lakehouse Platform, Al-Futtaim has been able to quickly deploy new use cases throughout the organization, delivering insights to business stakeholders four times faster than before. The improved data sharing and collaboration enabled via Delta Sharing has accelerated time-to-market. Al-Futtaim has been able to influence supply chain efficiency, marketing and sales, and customer engagement. For example, they recently productionized an order forecasting and inventory management model for one of their retail businesses, Marks & Spencer. Using segmentation and personalization, the division that drives Toyota sales leveraged recommendation engines to market their new UAE automobiles to specific audiences. Equipped with unified customer and operational data across their brands, Al-Futtaim’s business units are now able to create an unobstructed view of customer lifetime value.
数量效益
  • 10% higher automotive sales
  • 30% decrease in loss sale opportunity and inventory holding cost
  • 4x faster time-to-insight

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