Following the introduction of Didi's AI travel companion, Xiaodi, it swiftly garnered a substantial user base for regular use, marking a transition from merely 'securing a ride' to 'securing the ideal ride.' According to operational data, when it comes to personalized ride-hailing preferences, 'fast and affordable,' 'fresh air,' and 'the closest vehicle' emerge as the top three choices. Xiaodi boasts support for over 90 service labels, with users placing equal importance on efficiency, cost-effectiveness, and comfort. Additionally, functionalities like nearby searches, scheduled ride bookings, combined travel options, and order status inquiries are frequently utilized, mirroring users' genuine requirements for commuting, dining out, and leisure activities. There is a burgeoning demand among users for planned and predictable travel experiences, and they are also leveraging AI for consumption management. Industry experts opine that this underscores AI's untapped potential in revolutionizing consumption scenarios. Users seek a travel assistant capable of comprehending their needs and aiding in decision-making processes. Didi can cater to users' varied demands through AI integration. Xiaodi, powered by AI, seamlessly connects with 'nearby' life, underscoring the principle that technological innovation should always be centered around people.