There is a gap between supply and demand in cross-border e-trading platforms. The so-called supply and demand gap refers to the existing good companies that cannot meet the needs of buyers. Cross-border e-commerce, the buyer’s purchase demand is often included in the buyer’s behavior, such as searching for goods by pressing buttons, clicking price, category and other means, and on-site delivery time. It is important for CBEC to analyze the buyer’s needs to protect the procurement and provide the seller with reference to supply, so as to solve the supply and demand gap between the buyer and the seller. This paper mainly studies the CBEC big data decision intelligent perception system based on data fusion. It is the same as the innovation process of better application of data fusion to the e-commerce business model. At the same time, the key technologies of data extraction, conversion, data warehouse, and front-end display in the system construction are analyzed and designed. This paper mainly uses data fusion algorithm, data fusion network model, quaternion method, big data decision intelligent sensing system framework design experiment, and CBEC user experiment to study the CBEC big data decision intelligent sensing system based on data fusion, and also with the development of CBEC, I hope more people can participate in CBEC practice. The results show that with the increase of data volume of the CBEC platform from 2016 to 2020, the construction of the CBEC platform business of big data production intelligent perception system considers the situation of users from seven aspects. With the increase of consumption, domestic consumers are increasingly pursuing a better life, cross-border import e-commerce ushered in a great development era.

中文翻译：

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基于数据融合的跨境电子商务大数据决策智能感知系统

跨境电子交易平台存在供需缺口。所谓供需缺口，是指现有的好公司不能满足买家的需求。跨境电商，买家的购买需求往往包含在买家的行为中，比如通过按键搜索商品、点击价格、品类等方式，以及现场发货时间等。跨境电商分析买方需求，保障采购，为卖方提供供应参考，解决买卖双方的供需缺口，具有重要意义。本文主要研究基于数据融合的CBEC大数据决策智能感知系统。这与将数据融合更好地应用于电子商务商业模式的创新过程是一样的。同时，对系统构建中的数据抽取、转换、数据仓库、前端展示等关键技术进行了分析和设计。本文主要利用数据融合算法、数据融合网络模型、四元数方法、大数据决策智能感知系统框架设计实验、CBEC用户实验研究基于数据融合的CBEC大数据决策智能感知系统，并随着发展CBEC，希望更多的人能够参与到CBEC的实践中来。结果表明，随着2016-2020年CBEC平台数据量的增加，CBEC大数据生产智能感知系统平台业务的建设从七个方面考虑了用户的情况。随着消费的增加，国内消费者越来越追求美好生活，