HomeToGo: Helping Customers Find Their Dream Vacation Home with Generative AI
Customer Company Size
Large Corporate
Country
- Worldwide
Product
- Google Cloud Vertex AI
- Google Cloud Large Language Models (LLMs)
- Google Cloud Gemini models
- HomeToGo AI Mode
- HomeToGo Smart AI Reviews
Tech Stack
- Generative AI
- Machine Learning
- AI-powered travel planner
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Digital Expertise
- Productivity Improvements
Technology Category
- Analytics & Modeling - Generative AI
- Analytics & Modeling - Machine Learning
- Application Infrastructure & Middleware - API Integration & Management
Applicable Industries
- Software
- E-Commerce
Applicable Functions
- Sales & Marketing
- Business Operation
Use Cases
- Predictive Replenishment
- Virtual Reality
Services
- Cloud Planning, Design & Implementation Services
- Software Design & Engineering Services
- System Integration
About The Customer
HomeToGo is a SaaS-enabled marketplace that offers the world's largest selection of vacation rentals. The company is dedicated to making incredible homes easily accessible to everyone, providing a platform where travelers can find the perfect accommodation for their needs. HomeToGo's platform features millions of properties from thousands of trusted providers, including individual private homes, property managers, and listings from major travel brands. The company has a strong focus on using advanced technology solutions, particularly AI, to match supply and demand effectively. HomeToGo has a history of AI innovation, utilizing machine learning to enhance its search capabilities and improve the user experience. The company is committed to leveraging generative AI to further its product vision and become a fully AI-powered marketplace, working closely with Google Cloud to achieve this goal. HomeToGo's mission is to help travelers make better decisions faster, ensuring a seamless and efficient booking process.
The Challenge
The short-term rental market is highly competitive and fragmented, making it challenging for travelers to find the right accommodation. HomeToGo, as a SaaS-enabled marketplace with the world's largest selection of vacation rentals, faces the challenge of expertly matching supply and demand. With millions of properties from thousands of trusted providers, ranging from individual private homes to listings from major travel brands, the complexity of the market requires advanced technology solutions. The company aims to drive conversions for partners while helping guests find their ideal home with minimal fuss. The challenge is to leverage AI to fit the right property with the right traveler, ensuring a seamless user experience and meeting the demands of a diverse customer base. Additionally, the company seeks to expand its use of generative AI to enhance its product vision and become a fully AI-powered marketplace.
The Solution
HomeToGo has partnered with Google Cloud to leverage its Large Language Models (LLMs) and Vertex AI to enhance the customer experience. By using Google Cloud Gemini models, HomeToGo has developed Smart AI Reviews, which summarize guest reviews to provide travelers with an instant snapshot of a property's most loved features. This innovation eliminates the need for customers to scroll through hundreds of reviews, saving time and empowering them to make informed decisions quickly. The company strategically remains LLM agnostic, customizing its choice of LLMs based on the capabilities that fit specific use cases. Google Cloud's commitment to data protection and good data governance ensures that the content of its LLMs is safe to consume, aligning with HomeToGo's focus on data governance and security. The collaboration with Google Cloud allows HomeToGo to explore a range of features and services, such as virtual property tours and personalized recommendations, to improve the traveler experience and increase conversion for partners. With Vertex AI, HomeToGo has a highly configurable AI platform that supports the development of complex AI use cases, reducing development time and enabling faster releases.
Operational Impact
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