DIDA INC has rolled out three intelligent user tags covering commitment reliability, ride acceptance behavior, and vehicle condition, further enriching the trust profile within its carpooling platform.

Drawing on multi-dimensional data such as user behavior scores, historical conduct records, and post-trip evaluations, the platform now generates these tags to offer riders and drivers clearer insights before they connect. Once a trip is posted, users can instantly view whether potential co-travelers carry any of these tags in the order list, and clicking into the information card reveals more details, providing a well-rounded basis for ride-matching decisions.

In a separate enhancement, driver profile cards now feature a new "Driver Rating," which aggregates factors including trip fulfillment performance, communication courtesy, and feedback from completed rides. Rated out of a maximum of 5 points, this metric gives passengers a more comprehensive benchmark when selecting a driver.

A product lead at DIDA INC noted that whether users honor commitments, arrive on time, follow rules, and maintain vehicle standards are all pivotal to ride satisfaction. By using AI to distill behavioral data and evaluation results into intuitive visual tags, the platform not only simplifies the process of choosing a compatible co-traveler but also accelerates successful pairings for punctual, courteous users and owners of tidy, comfortable cars—collectively reinforcing a transparent and fair carpooling ecosystem.

Platform data underscores the effectiveness of this feature: drivers who earn the commitment reliability tag or the exemplary behavior tag achieve significantly higher acceptance and completion rates compared to the platform average. Meanwhile, the vehicle condition tag helps owners with clean, spacious cars stand out, demonstrating that upfront tag visibility bolsters passenger confidence and selection efficiency, ultimately granting quality drivers more booking opportunities.