The overall digitalization of the hottest automoti

2022-07-26
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The overall digitalization of the automotive aftermarket is imminent

Abstract: in the past few years, the digitalization of the automotive industry has developed unevenly, and the digitalization process of the vehicle enterprises themselves is very slow. In contrast, consumers' demand for digitalization has forced the vehicle enterprises to accelerate their digitalization process

in recent years, various attempts at interconnection in the post market have been encountering obstacles, which has deeply frustrated more and more pure Internet people. What about our company's good Internet + bonus over the past 10 years? What about the good social bonus? I really don't want to pour cold water on my peers when they are making great strides - it's really cool to see the tactically diligent opponents make mistakes in strategy, such as China to Didi

in the past few years, the development of digitalization in the automotive industry has been uneven. The digitalization process of vehicle enterprises is very slow. In contrast, consumers' demand for digitalization has forced vehicle enterprises to accelerate their digitalization process

this article discusses the three application prospects of automotive big data technology in the field of service digitalization

in recent years, various post market interconnection attempts have been encountering obstacles, which has deeply frustrated more and more pure Internet people. What about good Internet + bonus and good social bonus? Over the past year, the small partners who met with difficulties have been transformed offline. As a practitioner, I really don't want to pour cold water on my peers' vigorous progress if it is not for the bad habits of media background and being a teacher. It's really cool to watch the tactical diligent opponents make strategic mistakes, such as China in Didi

the central store + community store model is unreliable, which has led to many people's doubts. This is not because I have nothing to ask for, but because the community store model with small partners has not worked. I have recorded my thoughts to prevent myself from being stupid. I don't like to argue about industrial trends with my peers. Real innovators must think independently. Only when they don't follow the crowd can they enjoy their own dividends. I can't say or do that. Therefore, when the owners of the third and fourth tier urban maintenance plants who want to invest in local first-hand stores introduced to me that they want to transform the central store + community store model, I really can't help but ask two questions - is this really reliable

as a man of science and engineering, I am optimistic about technology. In the past 40 years, it technology has advanced by leaps and bounds. As a representative of IT technology, big data technologies represented by high-precision sensors, mobile broadband and satellite navigation are connecting more and more people and enterprises. Originally, these technologies only make bat earn more and more money by advertising and playing games. However, behind the high-frequency user connection of media and games, The unpredictable human behavior is becoming more and more predictable. If the behavior is predictable, the next stop of big data technology is to find methods that can change the human group behavior with the help of algorithm models, and be able to control the group behavior with imperceptible media technology. This is far more profitable than selling advertising, selling things and playing games

as a post market practitioner, I deeply feel that more and more insurance, post market and vehicle enterprises are rushing towards digitalization without hesitation. As the earliest digitalized insurance industry, I am also the first to act. This is also the reason why the vehicle industry has been hit hard by the insurance industry in the past few years. Although vehicle enterprises have rich digitalization experience in the production and manufacturing field, in terms of digitalization of services, The insurance industry has been leading the whole vehicle enterprises for an era, and those with inferior skills will inevitably be beaten. At present, as the first media public relations marketer to contact digitalization in the vehicle enterprise system, he is becoming a digital pioneer in the vehicle industry. Digital transformation is the transformation of these people first. Unfortunately, these auto people are engaged in the digitalization of automobile R & D, production, manufacturing and marketing. The lack of service digitalization experience makes these auto elites helpless

I think there are at least three application prospects for automotive big data technology in the field of service digitalization

the first is to use big data technology to realize the transformation of automobile sales service from post judgment of Bi business intelligence to real-time ai artificial intelligence service management. This is the concept that I first put forward, and it is also what I and my small partners are doing. I don't want to explain it in detail. Small partners who are willing to hear it in detail are welcome to sign up for the auto big data forum I am working on. For the post market, it is impossible for the post market enterprises to be more efficient than the traditional post market enterprises by completely relying on people for operation and management and timely boasting + interconnection. I believe that bat's various big data insight capabilities will become a strong support for Ai Ai service management in the future

the second is the tactical optimization of traditional insurance, sales and service marketing technologies based on big data technology. This is not only reflected in the over boasted precision advertising technology, but also reflected in the insurance UBI products and renewal marketing optimization technology. Already, its impact function is the biggest 108 after the major trade-off according to some insurance companies and auto dealers in using this kind of technology to improve their marketing service ability. But the potential of these technologies is far from being realized. I hope that the next auto big data series forum will bring new ideas to more insurance companies, OEMs, dealers and post market colleagues who are committed to digitalization

the third is user insight based on big data technology. Credit investigation and risk control are the core of this kind of big data technology. For high margin businesses such as auto insurance, auto finance and used cars, there have been many practical cases of using big data technology for risk control. I think these fintech technologies will become the core competitiveness of financial companies and mainframe manufacturers in the next few years. The existing technology R & D companies will inevitably be turned into private cloud services by financial and industrial giants in the future. Companies without the support of these professional services and technologies will be difficult to participate in the competition. The high digitalization of automotive finance, automobile manufacturing brands and other upstream industries will inevitably lead to the full digitalization of downstream industries. Otherwise, the so-called big data technologies are water without a source and trees without roots

in the past few years, the development of digitalization in the automotive industry has been uneven. The digitalization process of vehicle enterprises is very slow. In contrast, consumers' demand for digitalization has forced vehicle enterprises to accelerate their digitalization process. Once the upstream main engine plant accelerates digitization, will this lead to the need to install a regulated power supply? The comprehensive digital transformation of the whole industry and the maturity of big data technology require a huge industrial ecology to verify its power. Compared with FMCG, the automobile industry is the best test field. When most people rush into the excess offline physical stores, if there is no more advanced technology to improve efficiency, the industry will have no future

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