In traditional B2B platforms, the value of the platform is more about transmitting information, but as the platform information becomes more and more, it becomes increasingly difficult to find valuable business information efficiently and accurately. From the perspective of sellers, peer competition is becoming more and more fierce. Pure low-price competition is not only difficult to receive orders but also has low profits; from the perspective of buyers, how to efficiently find suppliers that meet their requirements, especially products that meet personalized needs, is becoming more and more complicated. It is difficult to adapt to the rapid development of e-commerce platforms based on previous foreign trade experience, so big data plays an important role at this time.
Small and medium-sized enterprises use Alibaba’s Yidatong to do foreign trade exports, which enables Yidatong to accumulate a large amount of foreign trade data of buyers and sellers. For example, a certain American buyer has been purchasing photo frame crafts from Dongyang, Zhejiang for a long time. The purchase order data is not only large in quantity, but also stable in transaction and very good in credit; similarly, a craft supplier in Dongyang, Zhejiang has been exporting to the European and American markets for a long time, with stable export volume and very smooth transactions every time, which shows that the company’s quality is stable and management is efficient. Based on such transaction data, when the American buyer has other purchasing needs next time, the platform will give priority to accurately matching this high-quality and reputable supplier to him, and vice versa. Through such accurate transaction matching, both sellers and buyers can improve transaction efficiency and reduce transaction costs during the transaction process. For example, a Chinese supplier who exports through Alibaba Yidatong often has transaction disputes, and even customers complain about the quality of this supplier. Over time, Alibaba’s big data system will issue warnings and recommend demotions or even blacklists for such suppliers. In the same way, if a buyer maliciously defaults on purchases, fails to fulfill transaction commitments, or even fails to pick up goods according to the transaction contract, the data will also be recorded, and eventually such buyers will be exposed. Such a transaction model can only be achieved through the big data of cross-border e-commerce.