In the many policies proposed by the government for the automotive auto parts market, the opening of auto maintenance data has become a sign of breakthrough development in the industry. After the maintenance data is made public, the more dimensions of big data that have been merged can make the whole car market form a whole, thus breaking the asymmetric information barrier created by the industry monopolies. On the basis of big data, businesses in the entire industry chain, such as repairs and maintenance, can focus more on their own industries. The relevant data needed can be linked to merchants that specialize in data, so that the entire industry can When it is lighter, the era of co-opetition in the automotive aftermarket begins. From the perspective of the industry chain, the current post-auto market in China can be divided into seven major categories: maintenance, repair, modification, used cars, auto parts, related e-commerce and financial insurance. These seven categories can actually be subdivided. For example, maintenance includes car washing, beauty, oil and parts replacement services. The seven major types of automotive services can be divided into three types: automotive services, car networking, and tool communities. Currently, many businesses in the automotive service industry are changing from one to the other, and they begin to be over-reacted from the low to the middle layers of the industry chain. Serve as a service auto service provider. For this category of businesses, whether they are doing platforms or doing vertical services, they are transitioning to "big data" in information technology. Because businesses have found that the competition in the automotive aftermarket services is not based on the number of maintenance personnel, it is more necessary to adapt the data on the original parts, brand parts, working hours, maintenance information, etc. For example, the oil filter ( The abbreviation for machine filtration) needs to match the customer's car model at home, but the original machine filter is very expensive. The o2o companies in general use MANN. Which filter of the Naman brand is suitable for the customer's car? This requires a database. Match support. In terms of data acquisition, businesses with accumulated data can obtain information through more channels, and those that do not accumulate will cooperate with professional database companies. The entire industry chain has heavy demand for big data services. The big data can bring the industry more to the management of customers and businesses by merchants. These data are specific to the automotive aftermarket, which is the comprehensive management of the automotive aftermarket services businesses in communicating users and commercial marketing. In particular, the flexible retrieving and application of models, accessories, brands, maintenance and other data can allow businesses to reach out to car owners. Even without asking to know the car owner information, it can further provide car owners with a one-stop car service program. So, what data is needed in the automotive aftermarket? A qualified data service provider should do the following: Full brand full-model full-accessory data information. The VIN-based full-model, all-in-one, universal accessory architecture includes a VIN code identification library, a vehicle configuration library, a maintenance rule base, and an accessory original part number brand part number pass-through database. Database synchronization structure synchronized with foreign countries. Real-time synchronization of information from foreign parts suppliers ensures that parts of the latest models fill the database. Internet-based API data services. Ensure that every merchant that they work with can access and retrieve the required database information through the API interface. At least 5 years of database production experience. The demand for data in the entire automotive aftermarket is increasing. At the same time, it is also generating a greater amount of data. Data processing experience and database production experience are particularly important. Old-fashioned data maintenance. From full brand to full car models, massive data mining and matching, not having a strong enough operating team is not enough. In the era of DT, each set of data uploaded by vehicles had location information and time, and it was easy to form massive data. On the big data platform, based on the processing, analysis, and aggregation of mass data such as vehicle data, road data, and environmental awareness data, car service providers or vehicle manufacturers can obtain the traffic conditions, driving behavior, mileage, etc. of the relevant vehicle owners. The data in the process can be used to refine the management of owners based on big data mining. The above is the impact of broad data on the automotive aftermarket industry in the broad sense, reflected in the service to the car, big data can indeed solve many problems. Specifically, some of the value of the big data model for the industry can be expressed as the following: First of all, promote the efficiency of the industry chain accessories trading. At present, B2B parts trading is less than 50% accurate over the phone. The above mentioned databases are the basis for ensuring the accuracy of transaction information. Online transactions can provide more detailed parts information for merchants and car owners. Reduced frequency. Second, multiple options provide merchants with price advantages. The database is not just for the merchant to provide original parts information, but also to provide other brands of replacement parts, the owner can choose the right accessories according to the situation, and this is also a brand merchants a sales channel. Furthermore, the traditional way of consulting has changed. The traditional auto parts industry 1 to 1 telephone enquiry inquiry method was promoted to a one-to-many digital inquiry method, which greatly improved the communication efficiency between merchants and car owners, merchants and accessories providers. At the same time, it provides the feasibility of traceability of trading accessories. The database has a clear record of accessories manufacturers, accessory distributors, accessory chain distributors, car maintenance providers, accessories B2B e-commerce platform and O2O service platform, and can inquire in reverse, so that after problems with accessories and services, it can be found in the reverse direction. The source of the transaction solves the problem of transparency and fairness in automotive aftermarket services, eliminating the need for third-party monitoring. Also, it conforms to the "homogeneous parts" strategy advocated by the state. At present, the China Association of Automobile Maintenance Industry is vigorously promoting the "homogeneous accessories" initiative to promote the healthy development of the automotive maintenance industry. Homogeneous accessories are also “quality equivalent partsâ€, which can replace spare parts replacement parts of original spare parts on automobile parts and accessories, with lower price and higher cost performance. This policy can enhance the enthusiasm of the national manufacturing industry and can reduce consumer maintenance costs. In terms of industry impact, in addition to the above points, in the "Internet + traditional" industry, big data is integrated into the traditional enterprise's CRM system and is forced to upgrade and transform traditional enterprises. This is an important way for Internet + to be implemented. All in all, big data will provide a more favorable basis for the progress of the entire automotive aftermarket industry. At the same time, drones, car networking, smart transportation, and Industry 4.0 will also benefit.
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