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Non-Performing Asset (NPA) Management Platform

By means of intelligent, agile, integrated and automated platform tools, establish a platform that integrates workflow, management flow and information flow, to meet the current and future practical work needs of Non-Performing Asset (NPA) Management Platform.

Industry Background

With the rapid development of credit business in financial institutions, business products have become increasingly diversified, and scale continues to grow rapidly. The workload and operational complexity of asset preservation departments have significantly increased. However, challenges such as information asymmetry, non-standardized process execution, and limited preservation methods persist.

Product Overview

GienTech Non-performing Asset Management Platform employs diversified collection and disposal methods, standardizes business processes through unified and regulated asset preservation procedures, and addresses pain points in financial institutions via integrated solutions. The platform connects with related business systems to enable storage, sharing, and analysis of credit asset data, enhancing data management and supervisory functions.

Key Features

Comprehensive Lifecycle Management

​Pre-Management: Asset acceptance, valuation, daily monitoring, and risk classification.

​In-Process Management: Routine collection (phone/letters/SMS/field visits), legal collection, and outsourcing.

​Post-Management: Disposal of collateral, debt relief, mortgage handling, and bad debt write-offs.


Unified Data View

Establish a standard-compliant data view for non-performing assets to lay the foundation for the accumulation and analysis of risk data. The non-performing asset basic data pool is formed by the non-performing asset management platform (including asset data, accounting data, disposal plans, cost data, etc.), and the processed and summarized data pool for analysis (such as industry analysis, regional analysis, collateral analysis, disposal analysis, loss information, etc.) is generated. The information after disposal analysis can provide a basis for the selection of disposal plans and support for collection strategies. 

Collateral analysis can provide basic information for collateral admission, mortgage rate, collateral assessment, and collateral warning; industry analysis and regional analysis can provide high-risk industry and high-risk region information for the risk system, and the information accumulated through non-performing asset recovery can provide decision-making basis for non-performing asset pricing.


Diversified Disposal Methods

Supporting multiple types of assets, various collection strategies and multiple disposal methods can help reduce asset losses and improve asset quality. Starting from the basic attributes of non-performing assets (such as overdue days, guarantee methods, loan balance, product type, etc.), different enforcement strategies are adopted to manage the execution of various asset preservation measures. For example, routine collection (task assignment for collection, execution of collection tasks, registration of collection results), judicial collection (application for judicial collection, approval for judicial collection, execution of judicial collection, reminder of statute of limitations, handling of pre-litigation preservation, registration of collection process, registration of collection results), outsourced collection (admission of outsourced companies, information on outsourced collection, information on outsourced loans, registration of collection results, correction of customer information, historical query of outsourced collection).

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中电金信鲸Bot RPA是一款面向金融行业客户的机器人流程自动化的开发平台。

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