智慧信贷新范式:交通银行零售业务的数智化跃迁
2 1 Shi Ji Jing Ji Bao Dao·2025-12-03 07:38

Core Viewpoint - The banking industry is undergoing a transformation driven by "new quality productivity," emphasizing the integration of advanced technologies like artificial intelligence and big data to enhance competitiveness and operational efficiency [1]. Group 1: Digital Transformation in Banking - The Bank of Communications is actively integrating the concept of "digital finance" into its retail credit business, shifting from a product-oriented approach to a customer-centric model [1]. - The bank's transformation aims to enhance its core competitiveness by leveraging digital capabilities and promoting a high-quality development path [1]. Group 2: Retail Risk Control Platform - The bank is transitioning from "incremental expansion" to "stock deepening" in retail credit, addressing challenges such as slowing growth and diverse customer needs [2]. - A retail risk control platform is being established, integrating six core capabilities: AI empowerment, data fusion, intelligent modeling, integrated risk control, decision-making operations, and enterprise-level architecture support [2]. Group 3: AI Empowerment - AI technology is embedded in 20 scenarios across the entire credit process, aiming to reduce human dependency and improve efficiency, with a projected release of over 500 human resources by 2025 [3]. - Innovations in the pre-loan, loan, and post-loan stages have significantly improved processing times and accuracy, with an automatic classification accuracy of over 95% and a processing time reduction from hours to minutes [3]. Group 4: Data Fusion - The bank's data fusion capabilities address the contradiction of having abundant data but insufficient application, integrating various data sources to create a shared resource pool [4]. - The platform has developed nearly 20,000 feature variables and 70,000 external variables, enhancing the approval rate for quality business circles to 70% [4]. Group 5: Intelligent Models - The bank has developed over 100 risk models covering the entire credit lifecycle, improving overall risk identification capabilities by nearly 50% [5]. - This systematic approach has not only improved effectiveness but also provided a standardized operational model for the industry [5]. Group 6: Integrated Risk Control - The integrated risk control system enhances decision-making accuracy and comprehensiveness, recovering nearly 5 billion yuan in losses through a comprehensive fraud prevention system [5]. - The evolution from "single-point defense" to "three-dimensional defense" marks a significant step in proactive risk management [5]. Group 7: Decision-Making Operations - A unified risk decision-making base is crucial for achieving organizational-level risk assessment and rapid response capabilities [7]. - The bank has implemented a distributed architecture to support high concurrency and low-latency business scenarios, enabling real-time decision-making [7]. Group 8: Customer-Centric Credit - The bank has innovated a customer-level credit model that integrates various financial services into a single application process, resulting in a monthly average increase of over 20% in credit amounts since implementation [9]. - This model effectively balances risk, efficiency, and customer experience, showcasing the bank's digital capabilities [9]. Group 9: Product Innovation - The launch of the "Business Circle Benefit Loan" product targets small and micro businesses, providing a streamlined online experience and addressing traditional credit service challenges [10]. - The product has reached nearly 100,000 customers across major business circles, enhancing market vitality [10]. Group 10: Process Restructuring - The bank is advancing the digital upgrade of its housing loan business, significantly improving approval efficiency and service quality [11]. - Over 80% of housing loan applications are now processed through mobile platforms, demonstrating the effectiveness of the digital transformation [11]. Group 11: Future Outlook - The banking sector is expected to evolve from mere financial service providers to builders of open ecosystems and enablers of intelligent services, driven by advancements in artificial intelligence [12]. - The bank's practices provide a valuable model for the industry, illustrating a pathway from tools to capabilities, and from capabilities to value creation [12].