Data information of all brands, all models and all accessories. There should be a universal architecture for all models and all accessories based on VIN. The accessories database includes: VIN code identification library, model configuration library, maintenance rule library, accessories original part number brand part number universal database, etc.
Internet-based API data service. Ensure that every merchant cooperating with it can connect and retrieve the required database information through the API interface.
At least 5 years of database production experience. The entire Petrol Car aftermarket has an increasing demand for data, and is also generating more data. Data processing experience and database production experience are particularly important.
The old-fashioned data maintenance, from all brands to all models, massive data mining and matching, cannot be done without a sufficiently strong operation team.
In the era of big data, each set of data uploaded by Changan Car carries location information and time, and is prone to form massive data. On the big data platform, based on the processing, analysis and aggregation of massive amounts of information such as Petrol Car data, road data, environmental perception data, etc., Petrol Car service providers or vehicle manufacturers can obtain data on the vehicle condition, driving behavior, mileage and other driving and use processes of relevant car owners, thereby enabling them to conduct refined management of car owners based on big data mining.