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Leveraging Weather Intelligence for Business Optimization: A Google Case Study
技术
- 分析与建模 - 预测分析
- 基础设施即服务 (IaaS) - 公共云
适用行业
- 玻璃
- 运输
适用功能
- 物流运输
- 采购
用例
- 施工管理
- 时间敏感网络
服务
- 培训
挑战
面对日益严重的气候相关破坏,了解天气对业务运营的影响变得至关重要。从供应链中断到预测某些服务的需求,天气模式可以显着影响业务成果。然而,挑战在于如何让组织中的每个人(而不仅仅是气象学家)都能访问和理解这些天气数据。这对于五金店等企业尤其重要,它们需要将历史天气模式与采购模式相匹配以优化库存。同样,建筑和旅游等受天气条件影响很大的行业需要将天气情报纳入其规划和决策过程。
关于客户
本案例研究中的客户多种多样,从五金店老板到建筑项目经理和旅游业专业人士。这些客户所在的行业深受天气条件的影响。例如,五金店老板需要了解天气模式才能有效管理库存并更好地为客户服务。建筑项目经理需要将天气情报纳入他们的调度和项目管理中,以减少与天气相关的延误。旅游业的专业人士,特别是航空公司运营的专业人士,需要准确的天气数据来做出关键的运营决策,例如在恶劣天气条件下改变航线或停飞航班。
解决方案
Google Cloud 在开发者倡导者 Shane Glass 的领导下,正在努力向公众提供大量与气候和天气相关的数据集。目标是帮助用户释放新的见解并做出更明智的决策。例如,五金店老板可以使用这些数据集来了解历史天气模式,并将其与前几年的购买模式进行匹配。这可以实现更好的库存管理和客户服务。同样,基于云的建筑项目管理软件 Procore 使用互联数据将天气模式和潜在延误纳入项目分析中。这有助于调整时间表并使项目尽可能高效。在旅游业中,艾玛迪斯等公司利用天气准确性来做出运营决策,例如在暴风雪期间改变航线或停飞航班。
运营影响
数量效益
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