Cooperation Case

Bairong Inc. Helps a State-Owned Bank Expand Its Retail Business with a Digital Marketing Plan. In recent years, major banks have adopted a large-scale retail strategy. A key challenge for this strategy is how to engage existing customers and generate more transactions from customers. A state-owned bank faced this challenge as it had a very low proportion of consumer groups among its existing customer base. Most of its customers hadn't been effectively reached or served.  In mid-2021, Bairong Inc. completed the research on the retail business benefit enhancement project for the bank's entire retail business. Bairong Inc. customized an AI model for the bank, incorporating more than 500 feature functions across 9 categories of scenarios, including savings and asset management. The model demonstrated a strong and stable ability to differentiate customers, with Kolmogorov-Smirnov test results ranging from 0.35 to 0.55. As a result, the model helped the bank increase its marketing conversion rate by 2 to 3 times. Bairong Inc. also successfully integrated the AI voice service function of intelligent operation into the bank's retail business line. This function comprises two modes: Interactive Voice Response (IVR) + manual mode, and IVR mode. Compared to the previous pure manual operation, the two modes can save costs by approximately 50% and 90%, respectively, while achieving assessment results close to the 90% to 95% service standard of human service.

Digital Intelligence Boosts Wealth Management Marketing, Increasing the Customer Response Rate of Joint-Stock Banks by 10 Times. Wealth management is becoming highly attractive to all banks. In recent years, a joint-stock bank has considered wealth management as an important lever to create more business revenue. The joint-stock bank introduced Bairong Inc.'s intelligent marketing solution into its operation, which brought profound changes to many links. The solution applied a model to filter out 25,000 high-quality customers based on marketing response. Then, it employed an intelligent management system to recommend suitable wealth management products to these customers. Consequently, the number of customers responding positively exceeded 2,000, with a response rate of over 8%. The marketing response rate increased by 11 times compared to the bank's original mode. The implementation of the digital intelligence operating model brought remarkable enhancements in the marketing response rate. More importantly, beyond the numerical changes, the bank achieved a shift from a product- oriented to a customer- oriented marketing mode with the help of digital intelligence in this project.

Bairong Inc. Helps an Urban Commercial Bank Grow Its Internet Credit Business by 30 Times in Three Years with a Full-Lifecycle Solution. In 2018, an urban commercial bank launched a large-scale retail strategy, with internet credit business as a central component. However, the bank encountered difficulties in meeting the regulatory requirements and found it necessary to improve its risk management, marketing operations, and the scenario-based ecosystem for its online business. Bairong Inc. analyzed the bank's existing strategies and helped optimize its internet credit business strategy, model deployment, and decision-making processes. Bairong Inc. also integrated its own modeling technology with the bank's internal risk management expertise, utilizing various AI algorithms, such as multiway tree, logistic regression, and LightGBM, to formulate highly accurate and interpretable strategies. In addition, Bairong Inc. established a model monitoring system , laying the foundation for continuous model optimization and iteration. Additionally, Bairong Inc. developed a customer risk evaluation system for the full lifecycle of the bank's online business assets, covering multiple aspects such as pre-loan fraud detection and credit evaluation, behavior monitoring during loan servicing, and post-loan management assessment. This system provided intelligent guidance for the bank's business decisions. As a result, the bank's internet credit business achieved an automatic approval rate of around 80%, representing an increase of more than 40%. The bank's risk management system was significantly enhanced, effectively identifying and blocking high-risk customers, elevating operational standards, and balancing risk and efficiency.

Bairong Inc. Uses the AI Cloud to Boost Asset Operation Efficiency in the Car Rental Industry, Solving Challenges Faced by the Vertical Industries. Bairong Inc. solved the pain points of a leading commercial vehicle financial leasing institution, which had a plethora of white-listed customers but lacked a proper basis for approval. The institution primarily relied on manual credit review and had limited automation capability for decision-making. Bairong Inc. enhanced the institution's pre-loan access strategy, established varying access standards for cooperative merchants, lowered the undesirable customer rate, raised the approval rate, and improved the approval process efficiency. Bairong Inc. also optimized the institution's data system in aspects such as data collection, storage, and index design, laiding a foundation for future data-driven operations and decision-making.