The future of mobility is accelerating its transformation from "hailing a ride" to "booking the perfect ride."
On March 19, it announced a major upgrade to its AI travel assistant "Xiao Di." By deeply integrating large model capabilities, this intelligent assistant can now understand more complex nuances and supports over 90 detailed service tags, aiming to provide users with a personalized, all-inclusive travel experience.
The core of this upgrade lies in a qualitative change in "perception." In the past, users could only add simple notes when hailing a ride. Now, "Xiao Di" can accurately identify and match the following needs:
Cabin Environment: Supports tags such as "fresh air," allowing passengers sensitive to odors to select their preferred vehicles.
Driving Style: Passengers seeking comfort can simply check "smooth driving," and the system will prioritize drivers with a gentler driving style.
Complex Planning: Supports collaborative travel for multiple people, multi-stop route planning, and even recommends optimal transfer options based on real-time traffic conditions.
As an important part of AI application scenarios, "Xiao Di's" evolution logic is "semantic understanding + multi-dimensional matching." It is no longer a rigid order query tool but a "digital concierge" that can understand natural language descriptions first. Whether it's scheduling a ride, reaching a frequently used address with one click, or handling complex order queries, users just need to issue commands as if chatting with a friend, and AI will complete the selection in milliseconds in the background.
When ride-hailing platforms start competing on subtle experiences like "air quality" and "stability," it indicates that competition in the ride-hailing industry has entered the second half of the era of refined services. As extends its AI capabilities to every ordinary waiting moment, each of our departures is becoming increasingly personalized and full of warmth.
