Methods, apparatus, and systems for providing an automated solution for discovering customer needs and matching suppliers through online marketing

By combining online marketing technology with machine learning and big data analytics, customer needs are automatically identified and matched with suppliers. This solves the problem of low efficiency in identifying customer needs and matching suppliers in existing technologies, enabling efficient personalized marketing and supply chain management, and improving user experience and market competitiveness.

CN122415181APending Publication Date: 2026-07-17
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Filing Date
2025-01-26
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies struggle to efficiently identify customer needs and automatically match suppliers, resulting in resource-intensive processes with low accuracy and efficiency. They also struggle to effectively analyze consumer behavior patterns within massive datasets and maintain consistent matching.

Method used

By combining online marketing technologies with machine learning and big data analytics, customer behavior data is collected to identify products that customers may purchase and key considerations. The system then uses a supplier database to automatically match the final supplier and transmits sales information to the customer's end.

Benefits of technology

It enables efficient identification of customer needs and automatic matching with suppliers, improving the personalization of marketing strategies and the efficiency of supply chain management, thereby enhancing user experience and market competitiveness.

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Abstract

根据一个实施例的装置,从客户终端收集客户行为数据,识别出客户可能购买的产品,即客户感兴趣的商品。通过分析客户行为数据,识别出客户在购买决策时关注的关键考虑因素。接着,通过供应商数据库识别出销售该产品的候选供应商,获取这些供应商销售的产品的销售信息。根据候选供应商的销售信息及客户的关键考虑因素,从中选择最终供应商,并将最终供应商所销售产品的销售信息传递至客户终端。
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