A blockchain-based electronic mall pusher management system and method

By using a blockchain-based e-commerce promoter management system, the shortcomings of traditional promoter management systems in terms of trust, recommendation accuracy, and scalability are addressed. This results in transparent, trustworthy, intelligent, and efficient promoter management, improving promotion efficiency and system stability.

CN122175660APending Publication Date: 2026-06-09SHANDONG ARTAPLAY INTELLIGENT TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANDONG ARTAPLAY INTELLIGENT TECH CO LTD
Filing Date
2026-01-19
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing referral management systems are inadequate in terms of trust and transparency, recommendation accuracy, scalability, and data integration, resulting in low promotion efficiency, inability to meet users' personalized needs, and poor system stability.

Method used

The system adopts a blockchain-based e-commerce promoter management system, which uses blockchain to build a trusted commission settlement system, combines deep learning models for personalized product recommendations, and uses microservice architecture and IoT to optimize inventory management, achieving transparent, trustworthy, intelligent, efficient, elastic and scalable promoter management.

Benefits of technology

It increased the trust and enthusiasm of promoters, improved the accuracy and conversion rate of product recommendations, enhanced the scalability and concurrent processing capabilities of the system, and reduced operating costs.

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Abstract

The application provides an e-commerce mall promoter management system and method based on a blockchain, and belongs to the technical field of e-commerce mall promotion. The system comprises: a promoter management module for managing promoter information; a data collection module for collecting user behavior data in real time; a user behavior analysis module for analyzing user behavior data based on a deep learning model to generate personalized features; a recommendation engine module for outputting a product recommendation list and sales prediction data according to the personalized features and product features; an intelligent contract management module for managing intelligent contracts in a blockchain; a commission settlement module for executing commission settlement based on the intelligent contracts; an intelligent monitoring and adjustment module for monitoring inventory status and adjusting inventory management strategies; and a data real-time analysis and adjustment module for periodically collecting system operation data, and evaluating and iteratively optimizing the deep learning model, the recommendation algorithm and the inventory management strategy. The application ensures transparent commission through the blockchain, improves conversion through intelligent recommendation, optimizes inventory management, and reduces costs and increases efficiency.
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