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Databricks > 实例探究 > Burberry 营销活动的高效图像注释和见解
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Burberry's Bold Fashion Marketing Transformation with IoT

技术
  • 分析与建模 - 机器学习
  • 基础设施即服务 (IaaS) - 虚拟私有云
适用行业
  • 服装
  • 消费品
适用功能
  • 销售与市场营销
用例
  • 临床图像分析
  • 时间敏感网络
服务
  • 系统集成
  • 培训
挑战
Burberry 是一个奢侈品牌,需要一种有效的方式来注释数千个营销资产,以推动有效的营销活动。
关于客户
巴宝莉(Burberry)是一家英国奢侈品牌,总部位于伦敦。他们在营销活动中使用了数千张图像,需要一个解决方案来准确地对这些资产进行分类和注释。
解决方案
Burberry 在其 Databricks Lakehouse 平台环境中实施了 Labelbox,可以快速、轻松地进行图像注释。这种集成提供了强大的内容洞察力,并减少了生成洞察力所需的时间和资源。
运营影响
  • The implementation of Labelbox within Burberry's Databricks Lakehouse Platform environment has significantly improved the company's marketing operations. Image annotation projects that used to take months now take hours, and marketing team members now have access to powerful content insights without needing help from data scientists. The solution has also enabled Burberry to annotate a massive volume of images efficiently while finding edge cases that boost model performance. Furthermore, Databricks Lakehouse Platform continues to exceed Burberry's expectations, offering a lower total cost of ownership than initially projected. The company appreciates that Databricks and Labelbox price their solutions aligned to business value, which further enhances operational efficiency.
数量效益
  • 10 head count saved by implementing Labelbox rather than building in-house
  • 4 years of continually decreasing total cost of ownership (TCO) with Databricks
  • 70% improvement in time savings for generating insights from images

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