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Google > 实例探究 > How Gen AI Helps Share Expert Travel Advice at Hotelplan Suisse

How Gen AI Helps Share Expert Travel Advice at Hotelplan Suisse

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公司规模
Mid-size Company
地区
  • Europe
国家
  • Switzerland
产品
  • Google AI PaLM 2
  • Gemini
技术栈
  • Google Cloud
  • Large Language Models (LLM)
  • Cloud Storage
实施规模
  • Departmental Deployment
影响指标
  • Customer Satisfaction
  • Digital Expertise
  • Productivity Improvements
技术
  • 分析与建模 - Generative AI
  • 平台即服务 (PaaS) - 数据管理平台
适用行业
  • Professional Service
  • Software
适用功能
  • 销售与市场营销
  • 商业运营
用例
  • 对话机器人
  • 远程协作
服务
  • 云规划/设计/实施服务
  • 软件设计与工程服务
关于客户
Hotelplan Suisse is a travel company that offers exceptional and memorable travel experiences, distinguishing itself in a market dominated by mass tourism and standardized package deals. With a team of over 400 experts, the company provides a personal touch, supporting customers with insider knowledge, expertise, local tips, and up-to-date information. Hotelplan Suisse serves 82 destinations, with specialists for each location, ensuring a wealth of expertise is available to tailor unforgettable experiences to customers' tastes. The company is committed to delivering personalized travel experiences, leveraging its extensive knowledge and expertise to meet the unique needs of its customers.
挑战
Travel booking periods are seasonal, and during high demand, the sales and operations team at Hotelplan Suisse faced a bottleneck when directing customer queries to the relevant travel expert. This delay in providing relevant information was creating unnecessary friction and risking the loss of new customers. Complex inquiries, possibly involving partner companies, could result in a one-day wait for an answer or a week-long wait for a complete itinerary. The challenge was to find a more efficient way to give customers the expertise they needed as quickly as possible.
解决方案
Hotelplan Suisse initially considered building a peer-to-peer support network but found it inefficient. The emergence of generative AI presented a new opportunity. By using Google AI PaLM 2, they layered proprietary data over the model to create a chatbot that could deliver accurate, detailed responses to customer queries. This solution was developed in collaboration with Google Cloud and Datatonic, and involved adding unstructured data from experts to train the model, improving its accuracy. The chatbot is currently being tested by the sales team, allowing them to provide real-time travel expertise and removing bottlenecks in the booking process. Questions that the chatbot cannot answer are escalated to travel experts, whose responses are fed back into the model, creating a feedback loop for continuous improvement. Hotelplan Suisse is also exploring the use of generative AI for content creation, using Gemini to generate website content and blog posts, thereby sharing the vast knowledge of their team with customers.
运营影响
  • The chatbot allows the sales team to provide real-time travel expertise, removing bottlenecks in the booking process.
  • Travel experts have more time to respond in detail to complex queries, as the chatbot handles simpler questions.
  • A feedback loop is created by feeding expert responses back into the model, continuously improving the chatbot's accuracy.
  • Generative AI is used to create website content and blog posts, sharing the team's knowledge with customers.
  • The company plans to develop a Google Chrome extension to make the chatbot readily accessible to travel experts.
数量效益
  • The chatbot was developed in less than two months.
  • Hotelplan Suisse serves 82 destinations with a team of over 400 experts.

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