300 Cloud won the Golden Bell Award for Data Intelligence Application Model

On December 10, 2021, the 11th Golden Bell Award Summit of data intelligence application model in 2021 was grandly held. Nanjing 300 Cloud Information Technology Co., Ltd. (hereinafter referred to as 300 Cloud) won the "Data Intelligence Scenario Application Model" award for the case of "One-stop Solution for Auto Finance Retail Business Gamma Business Middle Office".

The Golden Bell Award, the full name of the "Golden Bell Award", is a leading data analysis and decision support service organization in China, Zero Point, which was founded in 2011 and has been held for 11 sessions so far. From the perspective of intelligent application, the "Data Intelligence Scenario Application Model" aims to commend those exemplary service organizations that target the application problems of subdivided scenarios in the field of public service or business intelligence, design algorithm models to mine knowledge and laws, form highly replicable vertical application algorithms, and develop intelligent solutions to effectively solve application-side business scenario problems.

300 Cloud is such a technology company that deeply cultivates scene financial risk control services. It deeply combines artificial intelligence, big data, cloud computing and business scenarios, and provides a full range of services such as intelligent asset evaluation system, intelligent scenario risk control model and real-time business decision-making middle platform, aiming to help customers build an independent and controllable risk security system, assist in business process optimization, reduce enterprise costs, greatly improve enterprise operational efficiency, and accelerate the pace of intelligent digital transformation. Provide full-process services covering channel recommendation, channel management, joint modeling, asset valuation, in-loan management, post-loan monitoring and so on.

Roland Berger expects that China's used car market will maintain an annualized market growth rate of about 10% in the next five years, and the volume of used car transactions is expected to reach about 23.4 million units in 2025. After about 20 years of industry evolution, China's used car financial penetration rate has reached 30% in 2020, and it is optimistic that it will reach about 35% by 2025. The digital tools and the use of big data risk control provided by the one-stop solution for 300 Cloud's auto finance retail business have accelerated the approval and lending speed of used car retail credit, enabling used car finance to truly realize the sinking of services in cities at all levels across the country, allowing banks to deepen their ability to control auto finance risks and increase investment.

Over the years, 300 Cloud has insisted on intensive cultivation in the field of auto finance. Nowadays, financial risk control technology is constantly updated and iterated, from the era of expert experience risk control to the era of data and model drive to the era of algorithm and intelligent drive, intelligent risk control has led the pace of the times. 300 Cloud has pioneered the concept of process risk control through big data thinking, and now builds a trinity of "anti-fraud strategy + credit scoring model + machine learning" for the business process transformation of used car finance, pre-approval process transformation, anti-fraud strategy mining and deployment, model development and deployment, etc., which significantly improves the ability and efficiency of risk identification. The implementation effect verification shows that the gamma risk control differentiation effect is remarkable (KS value reaches 0.5 or more), exceeding the 0.3 level that most of the industry can achieve, and the cumulative scale of over-the-piece assets is about 700 billion yuan (RMB).

In the future, the quality requirements of consumer finance for customer groups will be further improved, with a view to releasing more interest margin space in risk control. 300 Cloud will help customers build a business service middle platform based on different financial scenarios, link investors and consumers (lending enterprises), achieve accurate channel acquisition, improve the efficiency of capital use, upgrade financial risk control capabilities, and reduce the comprehensive cost of business.