In the ever-evolving landscape of technology, machine learning (ML) and artificial intelligence (AI) have seized the spotlight. We’ve seen AI technologies such as ChatGPT become mainstream, and they’re rocking the world of business travel too.

For years, dataset collection and data analysis have been vital to business travel, powered by data scientists and subfields of artificial intelligence. Now, advancements in artificial intelligence and machine learning algorithms are redefining how people travel and how businesses manage their travel programmes with deep learning. This shift leads to big questions: How personal should machine learning become for robotics workflows in new apps? Is all AI truly as intelligent as the neural networks of the human brain? Do all organisations effectively tap into data’s potential for problem-solving and large amounts of inputs?

AI & ML at work

Artificial intelligence and machine learning are what enable us to create solutions that many clients take advantage of when they choose Amex GBT Egencia (Egencia^TM)—and they might not even know they’re running in the background. Utilising generative AI, large language models (like natural language processing) and pattern recognition are just a few ways that artificial neural networks are processing big data inputs to support advances in travel.

Artificial intelligence can be used in business travel to show relevant content based on a traveller’s personal preferences, deliver hotel savings after booking, or quickly answer questions from chatbots using automation-driven decision trees. Clients save time and money when booking business travel with our AI technology.

Read the infographic below to learn which of Egencia’s features use subsets of AI systems and machine learning models to create great experiences for clients. Download the full white paper to learn more about the history of data science and where we are today. Discover how it will help travel management companies to get accurate results to enhance decision making and optimise traveller booking workflows for future offerings.