公司规模
Large Corporate
国家
- Germany
产品
- Smart AI Search
- Vertex AI Search
技术栈
- Large Language Models (LLMs)
- Google Cloud
- AI-powered Search Technology
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Digital Expertise
- Innovation Output
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
- Software
- Professional Service
适用功能
- 商业运营
用例
- 补货预测
- 远程资产管理
服务
- 云规划/设计/实施服务
- 软件设计与工程服务
关于客户
Trivago is a leading global hotel search platform that has been at the forefront of redefining how travelers find accommodations. With a focus on innovation and user experience, Trivago has been exploring advancements in AI technology for over a decade. The company is committed to providing travelers with a more comprehensive and intuitive hotel search experience. By collaborating with Google Cloud, Trivago has integrated advanced AI-powered search functionalities into its platform, allowing users to search for hotels using natural language. This innovative approach aims to make the hotel search process easier, more personalized, and efficient, catering to the diverse needs of travelers worldwide.
挑战
Trivago faced the challenge of enhancing its hotel search capabilities to provide a more personalized and efficient experience for travelers. The existing search functionalities were limited to predefined criteria, which restricted users from articulating their hotel requirements in their own words. The company aimed to bridge the gap between user desires and discovery by leveraging AI-powered search technologies and natural language comprehension. However, the complexity of developing advanced and custom AI features posed significant challenges, requiring a balance between investment and potential value creation. Trivago needed to overcome technological limitations and enhance search capabilities to deliver real, tangible value to its users.
解决方案
Trivago collaborated with Google Cloud to integrate Vertex AI Search into its platform, creating a unique solution in the travel industry. This collaboration allowed Trivago to leverage Google Cloud's robust AI infrastructure, which processes vast amounts of data to understand context, synonyms, and user intent. The result is a search experience that feels intuitive and natural, significantly reducing the time and effort travelers typically spend trying to find exactly what they are looking for. The new Smart AI Search feature empowers travelers to search for hotels with unprecedented ease and precision, using natural language to articulate their requirements. This free-text search functionality interprets and responds to user queries with accuracy and relevance, accommodating diverse travel preferences and needs.
运营影响
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
SET Creative Ditches Google Vault for Datto Backupify
When Kienholz first started at SET, the staff was using Microsoft Outlook for email with no form of data backup. It became apparent that something needed to change as the staff was often burdened with trying to recover emails from departed employees. Kienholz transitioned the team to Google’s Gmail and implemented Google Vault for backup purposes. While SET employees quickly adjusted to Gmail, which many use for personal email, the same could not be said for Google Vault. “Unlike most Google products, Vault was not user friendly at all. It’s very hard to search for items. We never really figured out how to do a restore either,” explained Kienholz. Due to SET’s work with high-profile brands, projects often go through many rounds of revisions right down to the eleventh hour. This means that every bit of information - especially data living in project managers’ emails - is crucial to delivering clients a polished design at deadline.
Case Study
Infosys achieves a 5–7 percent effort reduction across projects
Infosys, a global leader in consulting, technology, and outsourcing solutions, was facing significant challenges in application development and maintenance due to its distributed teams, changing business priorities and the need to stay in alignment with customer needs. The company used a mix of open source, home-grown and third-party applications to support application development projects. However, challenges resulting from distributed teams using manual processes increased as the company grew. It became more and more important for Infosys to execute its projects efficiently, so they could improve quality, reduce defects and minimize delays.
Case Study
Arctic Wolf Envelops Teamworks with 24x7 Cybersecurity Protection and Comprehensive Visibility
Teamworks, a leading athlete engagement platform, faced rising cyberthreats and needed enhanced visibility into its network, servers, and laptops. With software developers connecting from all over the world, the company sought to improve its security posture and position itself for future growth. The company had a secure platform but recognized the need for a more proactive solution to identify gaps within its technology infrastructure. Data exfiltration and malicious access were top concerns, prompting the need for a comprehensive security upgrade.
Case Study
Sawback IT and Datto Save Client From a Costly Mistake
Ballistic Echo, a software development house, faced a critical challenge when human error led to the deletion of thousands of lines of unique code. This incident occurred before the code was pushed to source control, resulting in significant loss of time, revenue, and work. The previous file-level backup solution they used was slow and inefficient, making it nearly impossible to manually recreate the lost work. The need for a more reliable and efficient business continuity solution became evident to avoid such disasters in the future.
Case Study
Opal Helps Customers Shine Thanks to Datto
SP Flooring & Design Center faced a ransomware attack that encrypted and locked their files. The attack was initiated through a compromised service account set up by an outside vendor. The ransomware infection was isolated quickly, but there was a concern about the extent of the data at risk. The company had backups in place but was unsure of how much information was compromised. The situation required immediate action to prevent further damage and restore the affected data.
Case Study
Zapier Aggregates Multiple Analytics in a Single Dashboard with the New Relic Platform
Zapier, a company that enables non-technical users to push data between hundreds of web applications, was facing a challenge in automating and provisioning servers for optimal performance. The company's environment consisted of 50 Linux servers on the Amazon Elastic Compute Cloud (EC2), a Django application split across several servers, and a backend consisting of a dynamic number of celery task workers fed by messages published to a RabbitMQ cluster. They also maintained a number of internal web services on nginx in front of Gunicorn and Node.js processes. Redis handled simple key and value stores, with logging handled by Graylog2 and ElasticSearch. However, they realized that no level of automation would be sufficient without an effective monitoring solution in place. They needed a tool that could provide immediate alerts when something was breaking and could be easily implemented into their environment.