Google Cloud Platform > 实例探究 > Botmaker:利用 Google Cloud 提供卓越的客户服务

Botmaker:利用 Google Cloud 提供卓越的客户服务

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技术
  • 分析与建模 - 机器学习
  • 平台即服务 (PaaS) - 应用开发平台
适用行业
  • 水泥
  • 设备与机械
适用功能
  • 质量保证
  • 销售与市场营销
用例
  • 实时定位系统 (RTLS)
  • 资产跟踪
服务
  • 云规划/设计/实施服务
  • 测试与认证
关于客户
Botmaker 的客户包括业务遍及拉丁美洲和美国一些西班牙语地区的大型国际品牌。他们与政府机构、银行、保险公司、媒体公司以及 Despegar 或 MercadoLibre 等大型企业合作。
挑战
为了使用人工智能实现品牌与人们之间对话的自动化,Botmaker 需要一个基础设施,使其能够 24/7/365 实时处理数百万条消息、理解这些消息并正确回答这些消息,从而维护该品牌与其客户的商誉。他们还必须满足不同客户(包括大型银行和国际保险公司)提出的严格安全要求。
解决方案
Botmaker 于 2015 年开始与 Google Cloud 合作,利用该技术的敏捷性和可扩展性。他们使用 BigQuery、Container Engine、App Engine、Compute Engine 和 Kubernetes 等工具来快速、安全地处理数据。该团队发现,与竞争对手相比,Google Cloud 的工具更先进且更易于部署。他们可以在短时间内创建和推出解决方案,从而降低成本并缩短上市时间。
运营影响
  • The adoption of Google Cloud has significantly improved Botmaker's operational efficiency. The team no longer needs to dedicate time to tasks that are not part of the core business, nor do they need staff dedicated to infrastructure or database administration. The use of Google Cloud has also eliminated the need to buy or rent equipment, resulting in cost savings. The tools provided by Google Cloud are more advanced and easier to deploy compared to its competitors. The company can now create a solution and launch it with productive quality in a very short period of time, significantly reducing the time spent between designing an idea and posting it in high availability to a couple of hours. This has allowed Botmaker to quickly bring its products to market, creating a positive impact on the business.

数量效益
  • Botmaker can have a solution ready 10 minutes after testing.

  • Botmaker checks historical information in less than 5 seconds using BigQuery.

  • The platform processes millions of messages, understands them and correctly answers them in real time 24/7/365.

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