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Anodot > 实例探究 > 加强收入监控和异常检测:PUMA 案例研究
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AI-Powered Business Monitoring: A Case Study on PUMA and Anodot

技术
  • 网络与连接 - NFC
  • 传感器 - 尺寸和位移传感器
适用行业
  • 设备与机械
适用功能
  • 采购
用例
  • 行为与情绪追踪
  • 时间敏感网络
服务
  • 系统集成
  • 培训
挑战
全球电子商务巨头 PUMA 在监控其 45 个电子商务网站的收入方面面临困难。他们缺乏区分正常和异常收入事件的工具。
关于客户
PUMA 是全球电子商务巨头,拥有 45 个电子商务网站。他们正在寻找一种解决方案来监控收入方面并识别业务数据中的异常情况。
解决方案
Anodot 提供了人工智能驱动的业务监控解决方案,该解决方案可以分析 PUMA 的业务数据、检测异常情况并提供对各种指标的见解。 Anodot 与 PUMA 的数据源集成,并提供有关如何有效使用该系统的培训。
运营影响
  • The implementation of Anodot's AI-powered business monitoring solution provided PUMA with unprecedented insights into their business. By dicing data into multiple dimensions, problems that weren’t known and trends that no one had ever seen became crystal clear. This eliminated the need for guessing invisible trends or wasting time trying to understand the root cause of a drop in a static dashboard. Furthermore, Anodot's metric correlations tool helped PUMA understand their business from a perspective never seen before. In the future, PUMA plans to add more use cases, such as customer experience, by measuring the processing time of the website, and work on ads effectiveness by measuring the logins from ads worldwide.
数量效益
  • Anodot's system can connect to any data source in 3-4 minutes.
  • The average onboarding process with Anodot takes up to 6 weeks.
  • Anodot expanded PUMA's view to a much broader metrics than just revenue, including transactions per minute, items per transaction, conversion rate, items added to the cart, and number of returning customers.

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