AI case studies in {industry}






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Booking.com integrated OpenAI’s GPT models with its extensive proprietary data on properties, pricing, and availability to develop an AI Trip Planner that converts natural language queries into personalized itineraries. The team rapidly built the solution in 10 weeks by leveraging existing ML infrastructure and fine-tuning the model on both structured and unstructured data, which also powered additional tools like Smart Filters, Property Q&A, and AI Review Summaries. This innovation transformed travel discovery, search, and customer support processes.
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Mystifly partnered with Google Cloud to develop Mystic, an AI-powered chatbot that leverages Vertex AI Agent Builder to understand complex airline industry queries. They implemented an internal system by indexing PDFs stored in Google Cloud Storage into an unstructured datastore for quick retrieval and integrated Dialogflow CX with Cloud Functions for seamless escalation. This solution automated customer onboarding and support workflows for their SSP Manager platform by enabling travel agents to resolve configuration questions independently.
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Holland America Line developed a virtual agent called "Anna" using Microsoft Copilot Studio, which acts as a digital concierge on their website to support customers and travel advisors in booking cruises, managing existing bookings, and answering general questions.
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trivago integrated Google Cloud’s Vertex AI Search into its hotel discovery platform, enabling users to search using natural language with advanced LLMs. The AI was tailored to interpret free-text queries and integrated into existing search workflows to deliver personalized hotel recommendations. This reconfiguration improved search accuracy and user efficiency by transforming traditional, rigid search parameters into an intuitive discovery process.
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Iconem captured over 400,000 high-resolution images using advanced photogrammetry techniques (drones, cameras, lasers) over a three-week period, which were processed by Microsoft’s AI for Good Lab on Azure to create an ultra-precise digital twin of St. Peter’s Basilica. The AI-driven model was refined with millimeter-level accuracy to detect structural vulnerabilities and enhance both interior and exterior visualizations, thereby supporting immersive, interactive exhibits and online cultural access.
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Sabre migrated its 17 on-premises data centers to Google Cloud, moving over 40,000 servers, 400,000 CPUs, and 50 petabytes of storage to harness advanced machine learning for travel intelligence. Working with Google, it infused AI into its existing products and launched new offerings under Sabre Travel AI—including Upgrade IQ, SabreMosaic, and SynXis Concierge.AI—to predict disruptions and tailor travel offers. This transformation streamlined revenue management, booking workflows, and customer support across airlines, hotels, and travel agencies.
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DSB deployed Microsoft 365 Copilot with centralized data in a unified data lake to develop AI-powered use cases for graffiti detection and safety monitoring, supported by partner networks and employee training.
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Lonely Planet uses Claude to extract geospatial data from its vast content libraries, enabling the rapid creation of personalized travel itineraries.
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Priceline integrated advanced AI algorithms with real-time travel data and customer behavior analysis to deliver dynamic pricing and personalized travel recommendations. They implemented these AI-driven techniques across their booking platforms, including web and mobile channels, to optimize pricing strategies and ensure travelers receive competitive deals.
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Radisson Hotel Group personalized its advertising at scale in collaboration with Accenture and using Vertex AI and Gemini models, training them on extensive datasets stored in BigQuery.

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Hotelplan Suisse built a chatbot trained on the business’s travel expertise to answer customer inquiries in real-time, and, following that success, it plans to use gen AI to create travel content.
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Molslinjen built an AI-powered dynamic pricing engine and demand forecasting system using Azure Databricks, integrating a custom capacity management module for near real-time data processing. They implemented the solution by combining Azure Service Fabric for centralized data storage, Power BI for real-time analytics accessible to operational staff, and Azure Static Web Apps for a web interface, thereby streamlining pricing, loading, and marketing workflows.
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Lotte Hotels & Resorts used Microsoft's Power Platform, including Power Automate, Power Apps, Power Pages, and Azure OpenAI Service, to automate repetitive tasks and empower employees as citizen developers. By providing an eight-week training program, employees learned to create their own RPA solutions, automating tasks such as manual data entry in reservation systems and database refinement, leading to increased efficiency and productivity.
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Virgin Atlantic, a UK-based airline, is an early adopter of Microsoft's Copilot for Microsoft 365 and GitHub Copilot to enhance productivity and enable new ways of working. They have rolled out the tools to the first 300 licenses and plan to expand across the wider business. The team is using Copilot to generate emails, assist in coding, and support their day-to-day roles, leading to time savings and fostering innovation in problem-solving.
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HomeToGo partnered with Google Cloud to deploy Gemini models via Vertex AI to power its Smart AI Reviews that automatically summarize and translate thousands of guest reviews into clear, concise insights. They integrated this generative AI solution into their booking platform, streamlining the review analysis process to accelerate customer decision-making while upholding robust data security protocols.

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IHG Hotels & Resorts is building a generative AI-powered chatbot to help guests easily plan their next vacation directly in the IHG One Rewards mobile app.
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Amadeus, a global provider of travel technology solutions, is deploying Microsoft 365 Copilot to empower employees to focus on value-added tasks. By integrating Copilot across Microsoft Teams, Word, PowerPoint, and Outlook, they aim to improve efficiency in tasks like drafting communications, summarizing meetings, and managing emails. An initial rollout to 300 users showed high adoption, with employees reporting significant time savings and enhanced productivity.
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Attache, a company connecting corporate professionals with monthly furnished rentals, uses Gemini for Google Workspace to automate and enhance internal workflows. Employees leverage generative AI features like "Help me write" in Gmail and "Help me organize" in Sheets to draft emails, create meeting notes, design onboarding processes, and streamline customer service tasks. This automation improves productivity, reduces time spent on mundane tasks, and enhances employee satisfaction by allowing focus on more meaningful work.
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Holiday Extras uses ChatGPT Enterprise across every team, saving over 500 hours weekly. It helps with multilingual marketing copy, improves data fluency for non-technical employees, accelerates engineering productivity, and enhances UI/UX design with a custom GPT. Customer service inquiries are handled 30% by AI, increasing NPS scores.
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Six Flags leveraged Google's Vertex AI and generative AI tools to develop an automated digital assistant that answers guest inquiries 24/7 and provides real-time recommendations on rides, dining, and retail options. The system was integrated into the park’s digital platforms to blend digital and physical experiences, enhancing guest service workflows.
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Holland America Line, in partnership with Acuvate, uses Microsoft Copilot Studio's generative AI to power an online concierge. This AI-driven solution assists customers throughout the booking journey, handling inquiries about room options, packages, and entry requirements. Acuvate's involvement ensures seamless integration and optimization, improving customer engagement and satisfaction while driving revenue growth.
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