Recently, Zheshang Bank reached a cooperation agreement with Baiwang. The two parties will work together to explore multi-scenario applications in areas such as supply chain finance, digital finance, and inclusive finance, jointly building a financial innovation ecosystem and promoting healthy and sustainable development of the banking and financial markets.

Zheshang Bank is one of China's twelve national joint-stock commercial banks. Officially established on August 18, 2004, and headquartered in Hangzhou, Zhejiang Province, it was the 13th “A+H” listed bank in the country. Since its founding, Zheshang Bank has maintained steady development, rooted in Zhejiang while looking globally, and has become a strong, efficient, and well-managed commercial bank. 

As of the end of June 2024, Zheshang Bank had established 350 branches across 22 provinces and the Hong Kong SAR, effectively covering Zhejiang, the Yangtze River Delta, the Greater Bay Area, the Bohai Economic Rim, the Haixi Region, and parts of central and western China. In The Banker’s “Top 1000 World Banks 2023” ranking by Tier 1 capital, Zheshang Bank ranked 87th globally. It also received the highest AAA credit rating from China Chengxin International Credit Rating.

Baiwang’s exploration of inclusive finance goes beyond integrating technologies and data. It represents a holistic upgrade in financial services. Baiwang not only focuses on general-scenario inclusive financial products but also develops innovative solutions centered on invoice data.

For example, Baiwang has assisted banking clients in upgrading and refining their general invoice-based loan products, launching targeted offerings based on the upstream and downstream ecosystems of high-quality core enterprises. By analyzing transaction and client data embedded in invoices, these solutions provide accurate insights into a company’s industry and supply chain attributes, offering vital data support for expanding inclusive finance offerings.

Baiwang’s model development team brings deep expertise in data mining, credit evaluation, risk control, and the banking sector. Its modeling algorithms integrate artificial intelligence with digital finance technologies. AI scientists and financial experts collaborate to optimize risk warning models tailored to real business scenarios.

In the process of joint model building with banks, Baiwang provides a wide range of services, including modeling samples, historical data tracing, sandbox environments, indicator libraries, algorithm support, and decision engine deployment. This ensures banks can make efficient use of their internal resources while addressing capability gaps, ultimately achieving effective model construction and application.

Currently, Baiwang’s data and risk control services are modularized, enabling flexible configuration based on the specific business characteristics of each financial institution. Solutions can be tailored according to each institution’s capabilities and operational needs to maximize effectiveness.

Through data mining, integration, and derivation, Baiwang enables the fusion of data from multiple dimensions within supply chain scenarios. By applying cross-validation techniques, it builds enterprise tag libraries, generates comprehensive business profiles, and evaluates a company's actual operational capacity, effectively identifying its overall business risk.

For instance, a leading joint-stock bank that previously relied on limited invoice data, such as monthly invoice amounts, invoice counts, and red-flagged, assess corporate performance. These indicators offered only a narrow view of business operations.

With its deep understanding of invoice data and business scenarios, Baiwang helped the bank enrich invoice features and provided retrospective analysis on historical client data, evaluating the distinguishing and ranking power of the new feature set.

Moreover, Baiwang cross-validates all data involved in each stage, intelligently matching core enterprise purchasing and sales data with invoice information. This helps prevent data fraud and ensures the authenticity of model inputs, laying a solid foundation for reliable model development.

As the wave of digital transformation accelerates, fintech will become even more integrated with the digital economy, creating new models and opportunities. Baiwang hopes to collaborate with more financial institutions to pool resources, mine data, and deepen cooperation across the board.

Looking ahead, Baiwang will continue to empower the financial industry with value reconstruction, driving improvements in customer service, operations, and risk management. By fostering an open, innovative, and collaborative ecosystem, Baiwang aims to fully enable inclusive finance and drive financial service innovation from all angles.