AI solutions for full vehicle lifecycle management
This function breaks through the passive record mode of traditional car maintenance APP and establishes an active management system based on knowledge graph. Users only need to input basic vehicle information, and the system will automatically build a three-dimensional file containing maintenance cycles, parts replacement records, and insurance expiration reminders. The key technological breakthroughs are reflected in the following: automatically matching the manufacturer's maintenance specification through VIN code recognition; utilizing OCR technology to parse maintenance documents; and predicting parts wear and tear by combining driving habit data. In practical application, the system can warn the maintenance projects to be carried out 14 days in advance, and recommend the most cost-effective service program according to the current mileage. Feedback from test users shows that the average reduction in vehicle maintenance costs after using the tool is 23%, and the maintenance overdue rate has dropped by 67%.
This answer comes from the articleCardog: Vehicle Information Research and Intelligent Analysis of Automotive Market Data》
