Ticketmaster 利用 Dialogflow 增强购票体验
技术
- 分析与建模 - 机器学习
- 分析与建模 - 自然语言处理 (NLP)
适用行业
- 设备与机械
适用功能
- 采购
用例
- 对话机器人
- 机器翻译
服务
- 系统集成
关于客户
Ticketmaster 是世界领先的现场活动票务公司，成立于 1976 年。他们每年在 29 个不同国家销售超过 5 亿张门票。他们的业务涉及将人们与活动和门票联系起来，并且他们不断寻求改进服务和增强客户体验的方法。他们认识到自然语言处理在实现这一目标方面的潜力，并转向 Dialogflow 的对话技术为购票者提供更快、更个性化的服务。
挑战
Ticketmaster 是全球领先的现场活动票务公司，一直在寻求为购票者提供更快、更个性化服务的方法。他们认识到自然语言处理在增强客户体验方面的潜力，但在该领域缺乏经验。我们面临的挑战是找到一种易于实施、可扩展并提供良好开发人员体验的技术。他们还需要一个能够理解并准确响应数千名不同音乐艺术家姓名的系统，这是他们业务的一个重要方面。
解决方案
在研究了多种技术后，Ticketmaster 于 2017 年 1 月决定使用 Dialogflow。Dialogflow 提供了一个快速、轻松的开始，让他们能够以最少的编码构建对话体验。其直观的开发环境使团队能够轻松设计用户体验。此外，Dialogflow 具有可扩展性，确保它能够应对用户群的增长。尽管在自然语言处理方面经验很少，但该团队能够利用 Dialogflow 在机器学习和自然语言处理方面的专业知识来创建引人注目的语音用户体验。他们对 Dialogflow 自然语言理解的准确性印象特别深刻，这使得客户能够以对话方式与系统进行交互。
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