How AI can solve problems in travel and hospitality

Provide a personalized customer experience

As users click through dozens of search results when planning a trip, catch their attention by offering a deal tailored for them only: leisure or corporate, family or single, city center or countryside, and many other variables. A recommendation algorithm can use the data travelers leave on your website and enable you to offer personalized travel planning for flights or rooms that mirror their unspoken wishes.

Automate customer support

The speed of answering customer service questions is critical to most clients seeking help. Travelers – facing many concerns on a trip or planning one – require fast and relevant help. AI-based assistants and chatbots can cut the average response time from 20 minutes to 20 seconds. They can be programmed to be multilingual, perform dozens of simple tasks like luggage finding or rescheduling, and create another channel for you to access your clients.

Manage travel disruption

Thousands of trips are disrupted every day. Natural disasters or run-of-the-mill delays can cause major inconveniences and losses – especially for business travelers. Predictive technologies based on information about weather and current delays allow us to alert to possible disruptions, automatically offer solutions, or offer the notion to abstain from traveling on that day.

Learn about AI use cases in Travel

Customer segmentation and personalization for tailored deals

Acquire and retain customers more effectively by analyzing the data they share with you. Apply machine learning for travel to create detailed segmentation and adapt your UX to different groups of travelers.

Dynamic pricing solutions using market data

Optimize your prices automatically depending on the season, occupancy, competitive data, and more. Create an understanding of your market and customers and make your pricing decisions fully data-driven.

Sentiment analysis for feedback generation

Analyze customer review data from across the web to learn what people think about your service. Use supervised learning techniques to understand the emotions behind words and improve on feedback.

Demand forecasting for occupancy prediction

Accurately predict hotel occupancy by accessing data on destination popularity and competitive rates.

Intelligent travel assistants

Free your customer service staff from routine requests using a prominent machine-learning use case in the travel industry. Employ AI chatbots to help travelers book, research, and problem-solve.