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Member Merchant Identification Project for an E-commerce Platform

Improvement in the efficiency and accuracy of consumer selection

Consult an Expert

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

Results & Values

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

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

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

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