Member Merchant Identification Project for an E-commerce Platform - Industry Cases

Client Profile

An e-commerce platform is facing the issue of a surge in merchants after the launch of a membership program. These merchants pose a threat to the rights and interests of users and stores. To address this issue, the platform introduced a membership admission risk control system. However, the system has a high threshold, which affects the expansion of the membership base.

Business Challenges

• The high threshold of the risk control system limits the expansion of the membership base.

• There is a need for more accurate identification and differentiation between members and category merchants to protect the rights and interests of consumers and stores.

• It is necessary to strengthen risk control measures during promotional activities such as Double Eleven to protect consumer rights and interests.

Solution

• Data-driven risk control model: Develop a member identification model using high-dimensional spatial behavioral features and clustering algorithms (such as DBSCAN, OPTICS, etc.) to achieve accurate classification.

• Model accuracy verification: Ensure the high accuracy and reliability of the risk control model through algorithm engine libraries (such as LOF, MDCA, etc.) and verification techniques.

• Personalized risk management: Apply federated learning technology to customize personalized risk control models for merchants and members, enhancing the adaptability and effectiveness of risk management.

• Automated risk prevention and control: Implement automated interception and risk disposal processes, update risk lists in a timely manner, and effectively prevent and manage potential risks.

Solution Advantages

Application of advanced technology: Use high-dimensional spatial clustering algorithms and algorithm engine libraries to improve identification accuracy and model adaptability.
Combination of personalization and automation: Combine personalized risk control models with automated risk management to achieve efficient and accurate risk control.
Comprehensive risk management: Provide comprehensive risk prevention and control through model verification and industry information sharing, ensuring stable business development.

Results & Values

Improved efficiency and accuracy:

The full-scale consumer and member merchant identification model significantly improves the efficiency and accuracy of selection.

Strengthened risk control measures:

Especially during major promotional events such as Double Eleven, risk control measures are strengthened to protect consumer rights and interests.

Promoted information sharing:

By sharing risk control results with risk control BPs, industry information sharing and cooperation are promoted.

Business development guarantee:

The automated operation model provides a reliable risk prevention and control guarantee for business development.