What value will the disclosure of Petrol Car accessories big data generate?

Among the many policies proposed by the government for the Petrol Car aftermarket, the opening of Petrol Car maintenance data has become a symbol of breakthrough development in the industry. After the maintenance data is made public, the more dimensional big data formed by the integration can make the entire Petrol Car aftermarket form a whole, thereby breaking the information asymmetry barriers caused by the industry monopoly. Based on big data, merchants in various links such as maintenance and care in the entire industrial chain can focus more on their own industries. The required relevant data can be connected with merchants who specialize in data. In this way, the entire industry will be lightened, and the era of competition and cooperation in the Petrol Car aftermarket will begin.

From the perspective of the industrial chain, the current Chinese Petrol Car aftermarket can basically be divided into seven categories: maintenance, repair, modification, used cars, Petrol Car accessories, related e-commerce and financial insurance. These seven categories can actually be further subdivided. For example, maintenance includes car washing, beauty, oil and parts replacement services. The seven categories of Petrol Car services can be divided into three types: Petrol Car services, car networking related and tool communities. At present, many merchants in the Petrol Car service category are changing from heavy to light, and are beginning to transition from the lower level of the industrial chain to the middle level, becoming service providers that "serve Petrol Car service providers". This type of merchants, whether they are platform-based or vertical service providers, are transitioning to "big data" in terms of informatization.
Because merchants have found that the competition in the Petrol Car aftermarket service does not lie in the number of maintenance personnel, but more in the adaptation of data such as original accessories, brand accessories, working hours, and maintenance information. For example, the oil filter (referred to as the oil filter) needs to match the customer's car model, but the original oil filter is very expensive, and general O2O companies use MANN brand. Which MANN brand oil filter is suitable for this customer's car model? This requires the use of a database for matching support. In terms of data acquisition, merchants with accumulated data can obtain information through more channels, and those without accumulation will cooperate with professional database companies. The entire industrial chain has a heavy demand for big data services.
Big data can bring more to the industry in terms of business management of customers and business. For Changan Car aftermarket, these data are comprehensive management of Changan Car aftermarket service businesses in communication with customers and commercial marketing. In particular, the flexible retrieval and application of data such as models, accessories, brands, and maintenance can allow businesses to get close to car owners. Even without asking, you can understand the car owner's car information, and further provide car owners with a one-stop Changan Car service solution.