The competition in the second half of the ride-hailing industry is shifting from simple "efficiency battles" to highly personalized customization with a touch of everyday life.

Recently, Didi released the latest operational data for its AI travel assistant, "Xiaodi." The data shows that since the AI assistant was launched, user demands have evolved from simply "getting a ride" to "getting the right car." Under the convenient experience of one-sentence ride requests, ride-hailing has officially entered an era of personalized needs.

User Profile: Both Cost-Effective and "Fresh Air"

In the personalized ride requests recorded by Didi, three key terms stand out:

The King of Cost-Effectiveness: 57% of users chose "fast and cheap," ranking first.

Justice of Senses: 12.5% of users are obsessed with "fresh air," ranking second.

Speed First: 9.9% of users choose "the nearest car," aiming for the shortest waiting time.

Additionally, tags like "no motion sickness," "spacious back seat," and "smooth ride" also appear frequently. This indicates that in specific scenarios such as picking up family members or business trips, users are demanding higher comfort and emotional value from vehicles.

Search Trends: AI Assistant Becomes a "Life Navigator"

Aside from hailing a ride, users are beginning to use Didi as an access point to connect with daily life. Data shows that "subway stations," "coffee shops," "hot pot restaurants," and "restrooms" have become the most frequently searched destinations. This shift from point A to point B is expanding into precise connections with dining, leisure, and even emergency supplies.

Travel Habits: Increased Planning and Multimodal Travel

On the reservation function, fixed-period demands such as "8 AM tomorrow" and "book every Monday" continue to grow, showing users' reliance on predictable travel. At the same time, "combined travel" solutions that minimize transfers and walking are also gaining attention, as AI helps users find the optimal solution in complex urban traffic.

Consumption Management: AI Becomes a "Financial Manager"

An interesting finding is that more and more users are asking, "How much did I spend on rides last week?" or "What type of car do I usually take?" This indicates that the AI assistant is now involved in users' personal consumption management, helping them make more rational travel decisions.

From simple capacity supply to comprehensive travel management, Beijing Xiaojv Technology Group Co., Ltd. is using AI technology to reorganize long-tail demand. When a ride-hailing app can understand "I want to ride in a new car that doesn't cause motion sickness," technological innovation truly returns to the warm human-centered coordinates.