Tencent Cloud Financial Services China Translated from Chinese

Chery Auto Finance (奇瑞汽车金融)

Risk Management

Chery Auto Finance needed to raise risk-control automation fast enough to match 50% business growth, support more complex multi-brand lending, and manage both customer and dealer risk without expanding approval headcount.

Business volume has expanded at a 50% growth rate in recent years.
It operates 8 regional centers.
It works with more than 2,200 dealer partners.
The company had more than 2.76 million retail-loan customers by the end of 2021.

Reported impact

Business outcome

Chery Auto Finance raised approval automation, handled 50% business growth without adding approval staff, preserved bad-loan performance despite a riskier business mix, and improved dealer risk-management efficiency through a centralized digital risk stack.

  • Cost Reduction
  • Productivity Improvement
  • Risk Reduction
  • Scalability

Solution

Tencent Cloud helped Chery Auto Finance build a risk middle platform around Tencent Decision Platform so risk control could run as a shared digital service. The implementation combines data scheduling, model deployment and optimization, and daily risk operations in one stack that supports the full lending lifecycle. Customer and dealer application data flow through the shared layer, where model-driven decision logic produces agile tools for partners, regional centers, business units, and management. The platform supports Chery's A-card, B-card, and C-card strategies while automating dealer risk management. By joining mature big-data techniques with model governance and operational workflows, the system lets Chery keep pace with rapid business growth, raise approval automation, and preserve asset quality across higher-volume, higher-risk lending.

Data flow

Customer and dealer business data enters the shared data scheduling layer, where Tencent Decision Platform applies risk models and strategies managed through the deployment and optimization layer. The resulting decisions feed approval workflows, customer A/B/C card operations, dealer risk management, and daily monitoring used by Chery's partners, regional centers, business departments, and management teams.

Solution architecture

5 components · 5 layers
  1. Ingest
    • data scheduling management Coordinates the ingestion and movement of operational and risk data used by the platform.
  2. Compute
    • Tencent Decision Platform Hosts and executes model-driven decision logic for Chery's risk-control workflows.
  3. Serving
    • risk middle platform Centralizes lifecycle risk operations so customer and dealer risk management can run through one shared service layer.
  4. Orchestration
    • model deployment and optimization management Publishes, tunes, and governs the models and strategies used in automated risk decisions.
  5. Governance
    • risk daily management Provides operational tools for ongoing monitoring and day-to-day risk control work.

Architecture clues

  • It supports both customer-facing A-card, B-card, and C-card risk operations and dealer automated risk management.
  • Tencent framed the implementation as 'fully digital risk control' at a middle-platform level.
  • The platform unifies data scheduling, model deployment and optimization, and day-to-day risk operations.
  • The shared tools are designed for partners, regional teams, line departments, and management users.

Evidence from the source

Chery Auto Finance's business volume has expanded at 50% growth in recent years, creating an urgent need to significantly improve automated risk control (original: 奇瑞汽车金融业务量近年以50%的增速拓展,亟需大幅提升自动化风控水平).
Tencent Cloud built a digital and intelligent risk-management platform that integrates data scheduling management, model deployment and optimization management, and daily risk management (original: 为奇瑞金融搭建了集数据调度管理、模型部署与优化管理、风险日常管理三为一体的数智化风险管理平台).
The intelligent decision platform supports customer A-card, B-card, and C-card operations and dealer automated risk management (original: 智能决策平台不但支持了对客风控的A卡B卡C卡运行,也同时支撑了对经销商的自动风控管理).
The platform provides one-click agile risk-management tools for partners, regional centers, business departments, and management, greatly improving Chery's risk-management level (original: 平台为奇瑞金融合作伙伴、各作战大区、各条线部门以及管理层提供一键式敏捷风险管理工具,大大提升了奇瑞金融的风险管理水平).
With no change in approval-team size, the system supported 50% business growth and kept bad-loan levels flat even as higher-risk multi-brand business grew (original: 在审批团队人员规模没有变化的情况下,支持业务量增长50%…保持不良水平与往年持平).
Transparency Evidence & methodology 100/100 reference value · 79% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value100/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    2 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence79%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    5 direct source quotes retained.
  • Date provenance0/10
    The publication date has no documented provenance.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Tencent Cloud

    Chery Auto Finance (奇瑞汽车金融) customer story

    First-party
    https://cloud.tencent.com/customer/qrjr
    Source type
    Vendor-published customer story
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.