very good
Vehicle Code: 136293099 Vehicle Information: Vehicle Name: Dongfeng Fengxing Lingzhi 2022 M5L 1.6L Practical 7-Seater Vehicle Color: Dark Gray Exterior | Dark Interior Registration Date: 2021|7 - Mileage: 36,700 km Annual Inspection Expiry Date: 2026|7 - Compulsory Traffic Insurance Expiry Date: 2026|7 Purpose: Private Use Vehicle Documents: Vehicle and Vessel Tax, Registration Certificate, Purchase Tax Vehicle Overview: Exterior: Paint in good condition, high curb weight, ensuring aesthetics while improving paint durability; Interior: Interior thoroughly cleaned, removing signs of use and repairing wear. Ensures electric adjustment devices, audio, navigation, air conditioning, and other electrical equipment are functioning properly; Performance: Ensures vehicle stability and driving smoothness, smooth engine operation, stable power transmission from the transmission, and normal and effective braking and suspension; Safety: Vehicle structural components are intact;
Yes. For bulk purchases, we can organize and package the core historical records (transfer records, maintenance summaries) for each vehicle. If an English version is needed, we can provide a basic machine translation reference, and human translation assistance for key technical terms.
No, it does not. International shipping (especially RoRo) usually takes 30 to 60 days, during which the vehicle is stationary. A dead 12V battery, natural tire pressure loss, and even wiper aging due to temperature differences are all reasonable physical wear during long-distance transport. We strongly recommend that overseas buyers bring a portable jump starter and an air pump when picking up their vehicles at the port.
Extremely authoritative. The third-party data service providers we connect to legally access the Chinese Public Security Traffic Management Platform, the insurance claims network directly under the China Banking and Insurance Regulatory Commission, and the after-sales databases of major automotive manufacturers. We perform secondary logical verification based on this underlying data.
