In recent years, with the popularization and wide application of Internet technology, the financial market presents a prosperous scene. At the same time, the liquidation industry has also achieved rapid development, various types of non-performing assets continue to be exposed, the size of the liquidation market continues to expand.

According to the report released by the “Third China NPL Industry Summit Forum” in 2018, since the third quarter of 2012, non-performing assets of banks and non-performing loans of concern have entered a rising channel. By The end of June 2017, the total non-performing assets of the bank had reached 1.64 trillion yuan, and the loans of concern category reached 3.4 trillion yuan. At present, the total size of China’s non-performing assets has reached 10 trillion yuan, and will continue to grow in the future.

The huge market prospect of the clearance industry hides a lot of chaos

Lured by the big pie, more and more players are flooding into the clean up market. According to incomplete statistics, by the end of 2018, there were 364 online collection platforms, and the number of collection items in operation exceeded 940,000. The continuous influx of emerging enterprises makes the collection industry, which was originally a muddy water, more and more disorderly, and the collection industry began to grow savagely.

Cause this situation, on the one hand, the clearance industry access threshold is not unified standard, the quality of employees are uneven, the clearance enterprises fierce competition “each show his skill”, making the industry to the deformity. With the rapid growth of debt collection business, the number of employees needs to expand rapidly. At present, there are nearly 300,000 employees specializing in debt collection in China. However, the clearance industry has no relevant regulations on personnel qualification and access standards, resulting in uneven qualification of practitioners and chaotic competition.

On the other hand, the collection industry is prone to violence. The mode of labor distribution according to performance is one of the main reasons for this phenomenon. Or personnel in the process of actual operation, some enterprise in order to improve the collection efficiency at walking on the edge of the law, violate the basic rights and interests of the debtor and the personality dignity, violence intimidation, telephone bombing, spread the debtor’s personal information, such as improper behavior, the obligor to bring huge psychological pressure, serious still can cause the debtor serious social problems such as depression, revenge social suicide.

As such cases continue to break out, the liquidation industry and even the financial industry have ushered in a comprehensive supervision, but the chaos of the industry always exists, and the traditional NPL disposal way has been far from meeting the current rapid development of the liquidation demand.

Achievements proud people, non-performing assets liquidation industry dark horse birth

With the development of Internet finance, the financial industry is becoming faster and more efficient, which requires that the liquidation of derivatives must catch up with the pace of the development of the financial industry, so as to ensure that the overall circulation of the financial industry can not be interrupted. Obviously, the traditional single – to – single clearing mode has been unable to meet the development needs of the financial industry. In this severe situation, the market is in urgent need of compliance and efficient liquidation methods, which create huge development opportunities for technology disposal platforms such as Zitong.

Troubled times produce heroes, the disposal of non-performing assets also follow this historical track, in the chaos of the birth of a change. From the operation report recently released by Zitong, since its establishment in 2016, Zitong only used half a year to obtain ten million yuan of financing, and then the total amount of non-performing assets disposal in 2017 broke ten billion yuan, and the total amount of disposal in 2018 was as high as one billion yuan, achieving a nearly 10-fold growth in one year.

Zetcom has nearly 2,000 employees, including nearly 200 cutting-edge technology researchers in the R&D department. Under the cooperation of the team, Zitong has shown remarkable achievements, with disposal outlets covering 27 provinces across the country, more than 200 commission parties, and the cumulative number of cases handled exceeds 10 million.

The rapid growth of ZITong and the handling of such a large number of cases can not only be achieved by traditional practitioners through telephone calls, SMS, outbound visits and other consistent modes of operation in the industry. After all, these models are subject to time, region and other factors, and it is difficult to achieve efficient growth in a short period of time. So, capital easy access to such rapid growth behind, what kind of secret hidden?

Artificial intelligence and big data are the secrets of zITong’s rapid growth

The development of artificial intelligence, big data and other new technologies has changed labor-intensive industries, and the disposal of non-performing assets is no exception. The intervention of AI will liberate more human, even some programs do not need human participation, which plays a very important role in improving the efficiency of collection. Zitong has long been aware of this key point, through the application of AI, big data and other new technologies, to achieve quantification, digitization, stratification, mass, intelligent disposal, to solve the pain point of the collection industry.

Firstly, the eclipse platform is launched. The Eclipse platform is a SAAS system that enables Party A and Party C to solve the pain points of the commission and the disposal party. For a long time, the committee has difficulties in case management, low efficiency in handling, and difficulty in real-time control of case progress; Party C suffers from the lack of channels to obtain cases suitable for their disposal. The emergence of the Zitong eclipse platform enables both sides to communicate more smoothly and effectively through scientific and technological means. Different cases are stratified and screened, and cases are accurately matched to the disposal party through cloud computing, thus achieving a better win-win situation for both sides.

Second, it released an APP called Cat PAWS to solve the last mile of collection problem with big data. Through the research and application of Internet risk control, big data repair, intelligent call, instant network transmission and other technologies, Zitong has integrated these technologies into cat Palm APP. These technologies can effectively improve the work efficiency of front-line collection personnel, and realize the real-time recording and transmission of information in the process of outbound visits, so as to promote compliance collection.

Third, the release of cat catching APP, free to provide nearly 30,000 people with compliance disposal tools. Cat catcher is another powerful work of Zitong after Cat Paw, providing compliant collection tools for small and micro enterprises and individual users who use the professional collection system for the first time or do not have the intention to buy professional collection system temporarily.

Fourth, release cloud electric cat, through AI to achieve one-stop, strategic unmanned collection. If the previous several times of technology application made zitong began to attract public attention, the emergence of “cloud electric cat” laid its “hegemon” position in the industry reform period. This is an interactive, integrated strategy, automatic process OF AI collection solution, different from the common market “custom template + decision tree” type of intelligent collection, further improve the industry work efficiency, reduce costs, make the collection industry really touch the core of science and technology.

In addition, adhere to the green compliance, safety of the bottom line to a certain extent, also help investors hui to achieve rapid development, has the ICP licence, national insurance assessment certification, such as value-added telecommunications business license, the call center has its own team of qualification and other four compliance certificate (hui, in the collection of variable quality obviously more advantages in the industry.

A revolution in the collection industry launched by yi Tong is quietly started

The rapid growth makes Zetong a dark horse in the industry. Just as e-commerce giant Ali launched a new retail war, Zetong, as a pioneer of the industry, is leading the industry to launch a war of reform.

Empowered by science and technology, ZITong promotes the collection industry to form a healthy financial closed-loop system. The closed loop is based on the scene. With the establishment of the matrix of zETcom’s four products, the whole industry chain forms a healthy cycle, accelerates the circulation of assets, and thus achieves better resource allocation.

Under the leadership of technology-oriented enterprises like ZITong, the collection industry will stride into the era of science and technology and develop in the direction of green, efficient and civilized. Collection is a business activity, which means that when the traditional collection model can not generate more economic profits, the industry will change dramatically. The mature application of artificial intelligence, big data and other technologies has reduced the cost of the collection industry, increased the recovery ratio and promoted the development of the industry.

In general, the clearing industry still has great potential to be developed. The rapid growth of ZITong has indeed brought hope to the chaotic and inefficient development of the industry, but the clearing industry still needs efforts from all parties in the future. After all, collection is a relatively complex behavior, and the traditional collection method is not suitable for a long time. The future collection industry will definitely need an intelligent disposal method based on artificial intelligence and big data.

Article/Liu Kuang public account, ID: Liukuang110